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    <title>OpenNash Blog</title>
    <link>https://opennash.com/blog/</link>
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    <description>Working notes from the frontier of agent deployment.</description>
    <language>en-us</language>
    <lastBuildDate>Sat, 18 Jul 2026 00:00:00 GMT</lastBuildDate>
    
    
    
    <item>
      <title><![CDATA[Cross-Channel Customer Support Memory: Why Your AI Forgets Customers Between Chat, Email, and Voice]]></title>
      <link>https://opennash.com/blog/cross-channel-customer-support-memory-why-your-ai-forgets/</link>
      <guid isPermaLink="true">https://opennash.com/blog/cross-channel-customer-support-memory-why-your-ai-forgets/</guid>
      <pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Why support AI loses customer context between chat, email, and voice, and the unified memory architecture that fixes resolution time and CSAT. Originally published by OpenNash: https://opennash.com/blog/cross-channel-customer-support-memory-why-your-ai-forgets/]]></description>
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    <item>
      <title><![CDATA[An Operating Model for Enterprise AI: From One Workflow to a Repeatable System]]></title>
      <link>https://opennash.com/blog/enterprise-ai-transformation-playbook-director-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/enterprise-ai-transformation-playbook-director-ai/</guid>
      <pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical 2026 operating model for enterprise AI: inference, embedded subject-matter expertise, evals, coding agents, and ROI governance. Originally published by OpenNash: https://opennash.com/blog/enterprise-ai-transformation-playbook-director-ai/]]></description>
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    <item>
      <title><![CDATA[How to Automate Tier 1 Support: A Practical Playbook Beyond FAQ Bots]]></title>
      <link>https://opennash.com/blog/how-to-automate-tier-1-support-a-practical-playbook-beyond/</link>
      <guid isPermaLink="true">https://opennash.com/blog/how-to-automate-tier-1-support-a-practical-playbook-beyond/</guid>
      <pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A step-by-step playbook for tier 1 support automation: which tickets to start with, knowledge sourcing, confidence thresholds, and escalation design. Originally published by OpenNash: https://opennash.com/blog/how-to-automate-tier-1-support-a-practical-playbook-beyond/]]></description>
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    <item>
      <title><![CDATA[When to Scope the Next AI Workflow: Stability Gates Before Expansion]]></title>
      <link>https://opennash.com/blog/when-to-scope-the-next-ai-workflow-stability-gates-before/</link>
      <guid isPermaLink="true">https://opennash.com/blog/when-to-scope-the-next-ai-workflow-stability-gates-before/</guid>
      <pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Seven stability gates that tell you when an AI workflow is truly done - and how to scope the next one using a value, risk, and readiness backlog. Originally published by OpenNash: https://opennash.com/blog/when-to-scope-the-next-ai-workflow-stability-gates-before/]]></description>
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      <title><![CDATA[The Weekly Edge-Case Review: How Good AI Workflows Improve Without Drifting]]></title>
      <link>https://opennash.com/blog/the-weekly-edge-case-review-how-good-ai-workflows-improve/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-weekly-edge-case-review-how-good-ai-workflows-improve/</guid>
      <pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A 45-minute weekly AI workflow review that turns edge cases into eval coverage, prevents agent drift, and tells you when approval gates can loosen. Originally published by OpenNash: https://opennash.com/blog/the-weekly-edge-case-review-how-good-ai-workflows-improve/]]></description>
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      <title><![CDATA[Train the Operators and Reviewers: The Human Rollout Plan for AI Workflows]]></title>
      <link>https://opennash.com/blog/train-the-operators-and-reviewers-the-human-rollout-plan/</link>
      <guid isPermaLink="true">https://opennash.com/blog/train-the-operators-and-reviewers-the-human-rollout-plan/</guid>
      <pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI workflow operator training decides whether your automation sticks. A practical plan for reviewer SLAs, approval rubrics, calibration, and escalation. Originally published by OpenNash: https://opennash.com/blog/train-the-operators-and-reviewers-the-human-rollout-plan/]]></description>
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      <title><![CDATA[AI Agent Writeback Patterns: Updating CRM, Helpdesk, ERP, Docs, Email, and Slack Safely]]></title>
      <link>https://opennash.com/blog/ai-agent-writeback-patterns-updating-crm-helpdesk-erp-docs/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-writeback-patterns-updating-crm-helpdesk-erp-docs/</guid>
      <pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical guide to AI agent writeback: draft-only, approval gates, reversible writes, idempotency keys, and rollback across CRM, ERP, and helpdesk systems. Originally published by OpenNash: https://opennash.com/blog/ai-agent-writeback-patterns-updating-crm-helpdesk-erp-docs/]]></description>
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    <item>
      <title><![CDATA[Retrieval Paths and Source Priority: How AI Agents Decide Which Context to Trust]]></title>
      <link>https://opennash.com/blog/retrieval-paths-and-source-priority-how-ai-agents-decide/</link>
      <guid isPermaLink="true">https://opennash.com/blog/retrieval-paths-and-source-priority-how-ai-agents-decide/</guid>
      <pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agent retrieval paths determine which sources win when context conflicts. A framework for source priority, permission-aware retrieval, and escalation. Originally published by OpenNash: https://opennash.com/blog/retrieval-paths-and-source-priority-how-ai-agents-decide/]]></description>
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      <title><![CDATA[Duplicate Data Breaks AI Agents: How to Clean Fields, Records, and Source Truth for AI Workflows]]></title>
      <link>https://opennash.com/blog/duplicate-data-breaks-ai-agents-how-to-clean-fields-records/</link>
      <guid isPermaLink="true">https://opennash.com/blog/duplicate-data-breaks-ai-agents-how-to-clean-fields-records/</guid>
      <pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Duplicate records and conflicting documents make AI agents fail fast. A practical guide to dedupe, canonical fields, and source precedence - scoped to one workflow. Originally published by OpenNash: https://opennash.com/blog/duplicate-data-breaks-ai-agents-how-to-clean-fields-records/]]></description>
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    <item>
      <title><![CDATA[Building a BAA-Ready AI Agent Stack: Architecture, Vendors, and the PHI Boundary]]></title>
      <link>https://opennash.com/blog/building-a-baa-ready-ai-agent-stack-architecture-vendors/</link>
      <guid isPermaLink="true">https://opennash.com/blog/building-a-baa-ready-ai-agent-stack-architecture-vendors/</guid>
      <pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A reference architecture for a BAA-ready AI agent stack: which LLM, vector, and orchestration vendors sign BAAs, and where PHI is allowed to cross. Originally published by OpenNash: https://opennash.com/blog/building-a-baa-ready-ai-agent-stack-architecture-vendors/]]></description>
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      <title><![CDATA[Enterprise AI Strategy After Model Performance Parity: Why Routing Beats Picking a Winner]]></title>
      <link>https://opennash.com/blog/model-router-grok-gpt-muse-glm-api-price-war/</link>
      <guid isPermaLink="true">https://opennash.com/blog/model-router-grok-gpt-muse-glm-api-price-war/</guid>
      <pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Grok 4.5, GPT-5.6, Muse Spark 1.1, and GLM-5.2 show why enterprise AI strategy is shifting from model selection to routing, evals, and cost control. Originally published by OpenNash: https://opennash.com/blog/model-router-grok-gpt-muse-glm-api-price-war/]]></description>
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      <title><![CDATA[Agentic AI Is Making Memory a Serving Bottleneck]]></title>
      <link>https://opennash.com/blog/agentic-ai-memory-bottleneck/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agentic-ai-memory-bottleneck/</guid>
      <pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agents need more than compute. They keep more state alive, run longer tasks, and push HBM demand through usage, context, and model scale at the same time. Originally published by OpenNash: https://opennash.com/blog/agentic-ai-memory-bottleneck/]]></description>
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    <item>
      <title><![CDATA[Migrating From Zendesk AI to a Custom Agent: Cost, Risk, and a 90-Day Cutover Plan]]></title>
      <link>https://opennash.com/blog/migrating-from-zendesk-ai-to-a-custom-agent-cost-risk-and-a/</link>
      <guid isPermaLink="true">https://opennash.com/blog/migrating-from-zendesk-ai-to-a-custom-agent-cost-risk-and-a/</guid>
      <pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A 36-month cost model, a real risk register, and a phased 90-day plan for teams migrating from Zendesk AI to a custom support agent - plus who should stay. Originally published by OpenNash: https://opennash.com/blog/migrating-from-zendesk-ai-to-a-custom-agent-cost-risk-and-a/]]></description>
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      <title><![CDATA[Your Agent Failed in Prod. Can You Replay It?]]></title>
      <link>https://opennash.com/blog/agent-failed-in-prod/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agent-failed-in-prod/</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Production AI agents fail differently from normal software. The fix is audit logs, replayable traces, regression tests, and recovery paths before the next customer sees the same failure. Originally published by OpenNash: https://opennash.com/blog/agent-failed-in-prod/]]></description>
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      <title><![CDATA[Domain-Specific AI Agents Beat Generic Chatbots for Real Work]]></title>
      <link>https://opennash.com/blog/domain-specific-agents/</link>
      <guid isPermaLink="true">https://opennash.com/blog/domain-specific-agents/</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Generic AI assistants can answer questions. Domain-specific workflow agents can run support, finance, sales, and operations work with scoped tools, policies, traces, and evals. Originally published by OpenNash: https://opennash.com/blog/domain-specific-agents/]]></description>
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      <title><![CDATA[AI Agents for Financial Compliance: Automating Multi-Document Review]]></title>
      <link>https://opennash.com/blog/financial-compliance-documents/</link>
      <guid isPermaLink="true">https://opennash.com/blog/financial-compliance-documents/</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Financial compliance risk rarely lives in one PDF. Here is how AI agents can correlate invoices, contracts, payroll, tax, and ledger evidence while keeping humans in the approval path. Originally published by OpenNash: https://opennash.com/blog/financial-compliance-documents/]]></description>
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      <title><![CDATA[The Production AI Playbook: What Enterprise Agents Need Before Launch]]></title>
      <link>https://opennash.com/blog/production-ai-playbook/</link>
      <guid isPermaLink="true">https://opennash.com/blog/production-ai-playbook/</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A field guide for turning agent demos into production systems with evals, traces, permissions, incident response, and staged rollout discipline. Originally published by OpenNash: https://opennash.com/blog/production-ai-playbook/]]></description>
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      <title><![CDATA[Production Evals for AI Agents: Measuring Workflow Behavior]]></title>
      <link>https://opennash.com/blog/production-evals-agentic-systems/</link>
      <guid isPermaLink="true">https://opennash.com/blog/production-evals-agentic-systems/</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Agent evals turn a promising demo into a measurable production workflow by testing tool use, policy, recovery, latency, and business outcomes. Originally published by OpenNash: https://opennash.com/blog/production-evals-agentic-systems/]]></description>
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      <title><![CDATA[Spec-Driven AI Workflows: Why Pilots Fail Before the Agent Is Built]]></title>
      <link>https://opennash.com/blog/spec-driven-production-workflows/</link>
      <guid isPermaLink="true">https://opennash.com/blog/spec-driven-production-workflows/</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Most AI pilots do not fail because the model is weak. They fail because nobody specified the workflow, proof source, exceptions, and release bar before building the agent. Originally published by OpenNash: https://opennash.com/blog/spec-driven-production-workflows/]]></description>
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      <title><![CDATA[Agent Tokenomics: How to Cut AI Cost Without Breaking Quality]]></title>
      <link>https://opennash.com/blog/agent-tokenomics-open-models-harbor-opennash/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agent-tokenomics-open-models-harbor-opennash/</guid>
      <pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Agent tokenomics is the operating discipline for AI cost, quality, and model routing. Harbor shows how open models can be tested fairly against frontier APIs. Originally published by OpenNash: https://opennash.com/blog/agent-tokenomics-open-models-harbor-opennash/]]></description>
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      <title><![CDATA[Harbor Framework: Agent Evals for Real Business Work]]></title>
      <link>https://opennash.com/blog/harbor-framework-agent-evals-business-infrastructure/</link>
      <guid isPermaLink="true">https://opennash.com/blog/harbor-framework-agent-evals-business-infrastructure/</guid>
      <pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Harbor solves the messy problem behind production AI agents: proving they can complete real work in repeatable container tasks. Here is where OpenNash fits. Originally published by OpenNash: https://opennash.com/blog/harbor-framework-agent-evals-business-infrastructure/]]></description>
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      <title><![CDATA[What Is Agentic Knowledge? A Practical Definition for AI Agents and Enterprise Knowledge Work]]></title>
      <link>https://opennash.com/blog/what-is-agentic-knowledge-a-practical-definition-for-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/what-is-agentic-knowledge-a-practical-definition-for-ai/</guid>
      <pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Agentic knowledge is company knowledge AI agents can retrieve, evaluate, update, and act on. Get a practical definition, maturity model, and starting path. Originally published by OpenNash: https://opennash.com/blog/what-is-agentic-knowledge-a-practical-definition-for-ai/]]></description>
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      <title><![CDATA[Best Libraries for Caching in an Agent Knowledge Base: Redis, GPTCache, and LangChain Compared]]></title>
      <link>https://opennash.com/blog/best-libraries-for-caching-in-an-agent-knowledge-base-redis/</link>
      <guid isPermaLink="true">https://opennash.com/blog/best-libraries-for-caching-in-an-agent-knowledge-base-redis/</guid>
      <pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A hands-on guide to caching libraries for AI agent knowledge bases: Redis, GPTCache, LangChain, and MongoDB, the four cache layers, and the failure modes. Originally published by OpenNash: https://opennash.com/blog/best-libraries-for-caching-in-an-agent-knowledge-base-redis/]]></description>
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      <title><![CDATA[The AI Knowledge Retrieval Platform Buyer Framework: Consolidating Wikis Without Migrating the Mess]]></title>
      <link>https://opennash.com/blog/the-ai-knowledge-retrieval-platform-buyer-framework/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-ai-knowledge-retrieval-platform-buyer-framework/</guid>
      <pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[How to evaluate an AI knowledge retrieval platform for wiki consolidation: permission-aware search, canonical sources, analytics, and consolidate vs federate. Originally published by OpenNash: https://opennash.com/blog/the-ai-knowledge-retrieval-platform-buyer-framework/]]></description>
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      <title><![CDATA[Self-Hosted AI Customer Support: When On-Prem Beats Cloud (and Data Stays Yours)]]></title>
      <link>https://opennash.com/blog/self-hosted-ai-customer-support-when-on-prem-beats-cloud/</link>
      <guid isPermaLink="true">https://opennash.com/blog/self-hosted-ai-customer-support-when-on-prem-beats-cloud/</guid>
      <pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[When self-hosted AI customer support beats cloud: the data boundary, real cost math, and what supported on-prem looks like without a DIY maintenance bill. Originally published by OpenNash: https://opennash.com/blog/self-hosted-ai-customer-support-when-on-prem-beats-cloud/]]></description>
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      <title><![CDATA[Per-Resolution vs Flat-Fee Chatbot Pricing: Which Model Wins as You Scale]]></title>
      <link>https://opennash.com/blog/per-resolution-vs-flat-fee-chatbot-pricing-which-model-wins/</link>
      <guid isPermaLink="true">https://opennash.com/blog/per-resolution-vs-flat-fee-chatbot-pricing-which-model-wins/</guid>
      <pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Per-resolution AI support pricing taxes your own deflection. Model the cost curve at 10k, 100k, and 1M conversations before you sign a contract. Originally published by OpenNash: https://opennash.com/blog/per-resolution-vs-flat-fee-chatbot-pricing-which-model-wins/]]></description>
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      <title><![CDATA[How to Automate Tier 2 Support Tickets Without Breaking Escalation]]></title>
      <link>https://opennash.com/blog/how-to-automate-tier-2-support-tickets-without-breaking/</link>
      <guid isPermaLink="true">https://opennash.com/blog/how-to-automate-tier-2-support-tickets-without-breaking/</guid>
      <pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical guide to tier 2 support automation: which actions to automate, permission gates, write-backs, and clean escalation handoffs that keep context. Originally published by OpenNash: https://opennash.com/blog/how-to-automate-tier-2-support-tickets-without-breaking/]]></description>
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      <title><![CDATA[Tier 1 vs Tier 2 Customer Support: Definitions, Examples, and Where AI Fits Each Tier]]></title>
      <link>https://opennash.com/blog/tier-1-vs-tier-2-customer-support-definitions-examples-and/</link>
      <guid isPermaLink="true">https://opennash.com/blog/tier-1-vs-tier-2-customer-support-definitions-examples-and/</guid>
      <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Clear definitions of tier 1 vs tier 2 customer support, real examples of each, and a deflect-assist-escalate framework for where AI actually pays off. Originally published by OpenNash: https://opennash.com/blog/tier-1-vs-tier-2-customer-support-definitions-examples-and/]]></description>
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      <title><![CDATA[Patching AI Agent Failure Modes: Prompt, Tool, Retrieval, Routing, or Workflow?]]></title>
      <link>https://opennash.com/blog/patching-ai-agent-failure-modes-prompt-tool-retrieval/</link>
      <guid isPermaLink="true">https://opennash.com/blog/patching-ai-agent-failure-modes-prompt-tool-retrieval/</guid>
      <pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Not every AI agent failure is a prompt problem. A root-cause guide to diagnosing prompt, tool, retrieval, routing, and workflow faults before you patch. Originally published by OpenNash: https://opennash.com/blog/patching-ai-agent-failure-modes-prompt-tool-retrieval/]]></description>
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      <title><![CDATA[The Four Ways to Scale AI Compute: Pretraining, Post-Training, Test-Time, and Sleep-Time]]></title>
      <link>https://opennash.com/blog/four-ways-to-scale-ai-compute/</link>
      <guid isPermaLink="true">https://opennash.com/blog/four-ways-to-scale-ai-compute/</guid>
      <pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[AI architecture]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI scaling is no longer just bigger pretraining runs. Enterprises need to understand pretraining, post-training, test-time compute, and sleep-time compute so they can route the right work to the right model at the right cost. Originally published by OpenNash: https://opennash.com/blog/four-ways-to-scale-ai-compute/]]></description>
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      <title><![CDATA[Managed AI Workflow Operations: What Actually Happens After the Agent Goes Live]]></title>
      <link>https://opennash.com/blog/managed-ai-workflow-operations-what-actually-happens-after/</link>
      <guid isPermaLink="true">https://opennash.com/blog/managed-ai-workflow-operations-what-actually-happens-after/</guid>
      <pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Launch is day zero, not the finish line. How managed AI workflow operations keep agents working: quality monitoring, weekly edge-case review, and evals. Originally published by OpenNash: https://opennash.com/blog/managed-ai-workflow-operations-what-actually-happens-after/]]></description>
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      <title><![CDATA[The AI Economy Is Real. Now It Has to Become Workflow ROI]]></title>
      <link>https://opennash.com/blog/ai-economy-revenue-workflow-roi/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-economy-revenue-workflow-roi/</guid>
      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Economics]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Exponential View&#39;s demand-side AI economy estimate shows real revenue growth. The next test for operators is whether AI spend turns into measurable workflow ROI. Originally published by OpenNash: https://opennash.com/blog/ai-economy-revenue-workflow-roi/]]></description>
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      <title><![CDATA[Audit Logs and Dashboards for AI Workflows: What Operators Need After Launch]]></title>
      <link>https://opennash.com/blog/audit-logs-and-dashboards-for-ai-workflows-what-operators/</link>
      <guid isPermaLink="true">https://opennash.com/blog/audit-logs-and-dashboards-for-ai-workflows-what-operators/</guid>
      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI workflow audit logs and dashboards are what operators need after launch. What to track, who reads it, and the review cadence that holds teams accountable. Originally published by OpenNash: https://opennash.com/blog/audit-logs-and-dashboards-for-ai-workflows-what-operators/]]></description>
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      <title><![CDATA[AI Customer Support in 2026: From Tier 1 Bots to Tier 3 Automation]]></title>
      <link>https://opennash.com/blog/ai-customer-support-tier-1-tier-2-tier-3-automation/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-customer-support-tier-1-tier-2-tier-3-automation/</guid>
      <pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI customer support is moving from Q&amp;A bots to Tier 1, Tier 2, and Tier 3 automation with action, memory, handoff, and predictable pricing. Originally published by OpenNash: https://opennash.com/blog/ai-customer-support-tier-1-tier-2-tier-3-automation/]]></description>
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      <title><![CDATA[Launch AI Workflows Inside Existing Systems, Not a Separate Chatbot]]></title>
      <link>https://opennash.com/blog/launch-ai-workflows-inside-existing-systems-not-a-separate/</link>
      <guid isPermaLink="true">https://opennash.com/blog/launch-ai-workflows-inside-existing-systems-not-a-separate/</guid>
      <pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[How to launch AI workflows inside the CRM, ERP, Slack, email, and databases your team already uses, with safe read vs write integration and approval gates. Originally published by OpenNash: https://opennash.com/blog/launch-ai-workflows-inside-existing-systems-not-a-separate/]]></description>
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      <title><![CDATA[Every Production Failure Should Become an Eval Case: The AI Agent Feedback Loop That Compounds]]></title>
      <link>https://opennash.com/blog/every-production-failure-should-become-an-eval-case-the-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/every-production-failure-should-become-an-eval-case-the-ai/</guid>
      <pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Turn every AI agent failure in production into a permanent eval case. A failure taxonomy and weekly review loop that makes agents improve instead of thrash. Originally published by OpenNash: https://opennash.com/blog/every-production-failure-should-become-an-eval-case-the-ai/]]></description>
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      <title><![CDATA[Loops and Evals: How You Know AI Agents Work in 2026]]></title>
      <link>https://opennash.com/blog/loops-and-evals-how-you-know-ai-agents-work/</link>
      <guid isPermaLink="true">https://opennash.com/blog/loops-and-evals-how-you-know-ai-agents-work/</guid>
      <pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Production AI in 2026 runs on four loops: agent, verification, event, and improvement, held together by workflow-specific evals, traces, and human review. Originally published by OpenNash: https://opennash.com/blog/loops-and-evals-how-you-know-ai-agents-work/]]></description>
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      <title><![CDATA[Measure the Outcome, Not the Prompt: Business Metrics for Governed AI Agent Workflows]]></title>
      <link>https://opennash.com/blog/measure-the-outcome-not-the-prompt-business-metrics-for/</link>
      <guid isPermaLink="true">https://opennash.com/blog/measure-the-outcome-not-the-prompt-business-metrics-for/</guid>
      <pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Stop grading prompts and eval scores. Measure AI agent business outcomes - cycle time, exception rate, cost per case - that a CFO will actually sign off on. Originally published by OpenNash: https://opennash.com/blog/measure-the-outcome-not-the-prompt-business-metrics-for/]]></description>
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      <title><![CDATA[AI Workflow Pass/Fail Criteria: The Production Readiness Checklist]]></title>
      <link>https://opennash.com/blog/ai-workflow-passfail-criteria-the-production-readiness/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-workflow-passfail-criteria-the-production-readiness/</guid>
      <pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A buyer-friendly pass/fail checklist for AI workflow production readiness: eval coverage, edge-case rates, approval rules, rollback, audit trails, and training. Originally published by OpenNash: https://opennash.com/blog/ai-workflow-passfail-criteria-the-production-readiness/]]></description>
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      <title><![CDATA[AI Agent Traces and Tool Calls: What to Capture So Workflow Failures Become Fixable]]></title>
      <link>https://opennash.com/blog/ai-agent-traces-and-tool-calls-what-to-capture-so-workflow/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-traces-and-tool-calls-what-to-capture-so-workflow/</guid>
      <pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agent traces need more than final answers. Capture tool calls, retrieval, decision paths, cost, and reviewer choices so workflow failures become fixable. Originally published by OpenNash: https://opennash.com/blog/ai-agent-traces-and-tool-calls-what-to-capture-so-workflow/]]></description>
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      <title><![CDATA[Reliable Agentic RAG Architecture: Lessons From Bayer&#39;s PRINCE System]]></title>
      <link>https://opennash.com/blog/reliable-agentic-rag-architecture-prince-opennash/</link>
      <guid isPermaLink="true">https://opennash.com/blog/reliable-agentic-rag-architecture-prince-opennash/</guid>
      <pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Bayer&#39;s PRINCE case study shows the production work behind agentic RAG: scoped tools, traceable orchestration, code-aware evals, and review loops. Originally published by OpenNash: https://opennash.com/blog/reliable-agentic-rag-architecture-prince-opennash/]]></description>
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      <title><![CDATA[Tokenomics After GLM-5.2: When AI Model Choice Becomes Unit Economics]]></title>
      <link>https://opennash.com/blog/tokenomics-glm-52-ai-agent-economics/</link>
      <guid isPermaLink="true">https://opennash.com/blog/tokenomics-glm-52-ai-agent-economics/</guid>
      <pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Economics]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[GLM-5.2, Opus 4.5, and runaway Claude Code spend show why AI teams should manage AI as scarce compute: cost per accepted task, routing, budgets, and model substitution. Originally published by OpenNash: https://opennash.com/blog/tokenomics-glm-52-ai-agent-economics/]]></description>
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      <title><![CDATA[Workflow-Specific Evals: Why Generic AI Benchmarks Don&#39;t Prove Your Agent Works]]></title>
      <link>https://opennash.com/blog/workflow-specific-evals-why-generic-ai-benchmarks-dont/</link>
      <guid isPermaLink="true">https://opennash.com/blog/workflow-specific-evals-why-generic-ai-benchmarks-dont/</guid>
      <pubDate>Sat, 20 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Generic AI benchmarks like MMLU and SWE-bench won&#39;t tell you if your agent handles your invoices or tickets. Build workflow-specific evals instead. Originally published by OpenNash: https://opennash.com/blog/workflow-specific-evals-why-generic-ai-benchmarks-dont/]]></description>
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      <title><![CDATA[Least-Privilege Tools for AI Agents: Restrict Permissions Before You Scale]]></title>
      <link>https://opennash.com/blog/least-privilege-tools-for-ai-agents-restrict-permissions/</link>
      <guid isPermaLink="true">https://opennash.com/blog/least-privilege-tools-for-ai-agents-restrict-permissions/</guid>
      <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Good instinct to stop on that one. Honest answer first, then the method. Originally published by OpenNash: https://opennash.com/blog/least-privilege-tools-for-ai-agents-restrict-permissions/]]></description>
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      <title><![CDATA[The AI Compute Buildout: Players, Dependencies, and Where We Are]]></title>
      <link>https://opennash.com/blog/ai-compute-buildout-players-dependencies/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-compute-buildout-players-dependencies/</guid>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical map of the AI infrastructure buildout: who the players are, what depends on what, where the bottlenecks sit, and how to think about the economics. Originally published by OpenNash: https://opennash.com/blog/ai-compute-buildout-players-dependencies/]]></description>
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      <title><![CDATA[AI Workflow Approval Gates and Exception Routing: Stopping Silent Failure]]></title>
      <link>https://opennash.com/blog/ai-workflow-approval-gates-and-exception-routing-stopping/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-workflow-approval-gates-and-exception-routing-stopping/</guid>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI workflow approval gates and exception routing stop silent AI failures. When to approve, sample, escalate, or halt - with five worked examples. Originally published by OpenNash: https://opennash.com/blog/ai-workflow-approval-gates-and-exception-routing-stopping/]]></description>
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      <title><![CDATA[Keep Deterministic Steps Deterministic: When to Use Rules, Code, and LLMs in One Workflow]]></title>
      <link>https://opennash.com/blog/keep-deterministic-steps-deterministic-when-to-use-rules/</link>
      <guid isPermaLink="true">https://opennash.com/blog/keep-deterministic-steps-deterministic-when-to-use-rules/</guid>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical guide to deciding when an AI workflow step should be rules, code, or an LLM, and how to keep deterministic logic out of probabilistic models. Originally published by OpenNash: https://opennash.com/blog/keep-deterministic-steps-deterministic-when-to-use-rules/]]></description>
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      <title><![CDATA[AI Agent Allowed Actions: The Governance Document to Write Before Launch]]></title>
      <link>https://opennash.com/blog/ai-agent-allowed-actions-the-governance-document-to-write/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-allowed-actions-the-governance-document-to-write/</guid>
      <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Before you launch an AI agent, define what it may read, draft, send, approve, and never do. A practical allowed-action matrix for governed agent design. Originally published by OpenNash: https://opennash.com/blog/ai-agent-allowed-actions-the-governance-document-to-write/]]></description>
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      <title><![CDATA[Permission-Aware AI Agents: Controlling Who Sees What Data]]></title>
      <link>https://opennash.com/blog/permission-aware-ai-agents-controlling-who-sees-what-data/</link>
      <guid isPermaLink="true">https://opennash.com/blog/permission-aware-ai-agents-controlling-who-sees-what-data/</guid>
      <pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Permission-aware AI agents enforce who sees what data. A practical guide to user-scoped retrieval, RBAC, least privilege, field masking, and audit logs. Originally published by OpenNash: https://opennash.com/blog/permission-aware-ai-agents-controlling-who-sees-what-data/]]></description>
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      <title><![CDATA[Data and Context Engineering for AI Agents: The Work Before the Workflow Works]]></title>
      <link>https://opennash.com/blog/data-and-context-engineering-for-ai-agents-the-work-before/</link>
      <guid isPermaLink="true">https://opennash.com/blog/data-and-context-engineering-for-ai-agents-the-work-before/</guid>
      <pubDate>Sun, 14 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agents fail on context, not models. The data and context engineering behind reliable agents: sources, freshness, permissions, retrieval, and writeback. Originally published by OpenNash: https://opennash.com/blog/data-and-context-engineering-for-ai-agents-the-work-before/]]></description>
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      <title><![CDATA[The AI Workflow Readiness Scorecard: Where AI Can Help Safely]]></title>
      <link>https://opennash.com/blog/the-ai-workflow-readiness-scorecard-where-ai-can-help-safely/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-ai-workflow-readiness-scorecard-where-ai-can-help-safely/</guid>
      <pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Use an eight-axis scorecard to pick your first AI workflow. Start where the proof source is clean and the risk is contained, not where the spotlight is. Originally published by OpenNash: https://opennash.com/blog/the-ai-workflow-readiness-scorecard-where-ai-can-help-safely/]]></description>
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      <title><![CDATA[The AI Workflow Baseline: Measure Cycle Time, Volume, Exceptions, Cost, and Quality Before You Build]]></title>
      <link>https://opennash.com/blog/the-ai-workflow-baseline-measure-cycle-time-volume/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-ai-workflow-baseline-measure-cycle-time-volume/</guid>
      <pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[How to baseline cycle time, volume, exception rate, cost, and quality before AI automation, so your ROI case survives contact with the CFO. Originally published by OpenNash: https://opennash.com/blog/the-ai-workflow-baseline-measure-cycle-time-volume/]]></description>
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      <title><![CDATA[Find the System of Record: The First Rule of Reliable AI Workflow Design]]></title>
      <link>https://opennash.com/blog/find-the-system-of-record-the-first-rule-of-reliable-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/find-the-system-of-record-the-first-rule-of-reliable-ai/</guid>
      <pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Every reliable AI agent needs a system of record per fact. Here is how to assign authority across CRM, ERP, and docs so agents stop inventing state. Originally published by OpenNash: https://opennash.com/blog/find-the-system-of-record-the-first-rule-of-reliable-ai/]]></description>
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      <title><![CDATA[What AI Will Automate Next: Closed-Loop vs. Open-Loop Work]]></title>
      <link>https://opennash.com/blog/what-ai-will-automate-closed-loop-vs-open-loop-work/</link>
      <guid isPermaLink="true">https://opennash.com/blog/what-ai-will-automate-closed-loop-vs-open-loop-work/</guid>
      <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical framework for understanding which AI tasks frontier model labs will capture, which work becomes commoditized, and where humans and companies should invest their time. Originally published by OpenNash: https://opennash.com/blog/what-ai-will-automate-closed-loop-vs-open-loop-work/]]></description>
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      <title><![CDATA[Workflow Discovery for AI Automation: Map the Process Before You Build the Agent]]></title>
      <link>https://opennash.com/blog/workflow-discovery-for-ai-automation-map-the-process-before-2026/</link>
      <guid isPermaLink="true">https://opennash.com/blog/workflow-discovery-for-ai-automation-map-the-process-before-2026/</guid>
      <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Workflow discovery for AI automation finds where judgment lives, where handoffs break, and which steps to govern before you build a single agent. Originally published by OpenNash: https://opennash.com/blog/workflow-discovery-for-ai-automation-map-the-process-before-2026/]]></description>
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      <title><![CDATA[Mythos/Fable 5 ExploitBench: From Crash to Code Execution]]></title>
      <link>https://opennash.com/blog/ai-cyber-exploitbench-crash-code-execution/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-cyber-exploitbench-crash-code-execution/</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Security]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A plain-English breakdown of Mythos/Fable 5, ExploitBench, and why crash-to-code-execution capability changes AI cyber risk. Originally published by OpenNash: https://opennash.com/blog/ai-cyber-exploitbench-crash-code-execution/]]></description>
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      <title><![CDATA[Mythos/Fable 5 Evals: Awareness and Sandbagging]]></title>
      <link>https://opennash.com/blog/ai-safety-evals-evaluation-awareness-sandbagging/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-safety-evals-evaluation-awareness-sandbagging/</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Evals]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[What Mythos/Fable 5 reveals about safety evals, evaluation awareness, sandbagging, and why models may behave differently under test. Originally published by OpenNash: https://opennash.com/blog/ai-safety-evals-evaluation-awareness-sandbagging/]]></description>
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      <title><![CDATA[Mythos/Fable 5 Bio Risk: Why Anthropic Stops Short of CB-2]]></title>
      <link>https://opennash.com/blog/anthropic-cb2-bio-risk-fable-mythos/</link>
      <guid isPermaLink="true">https://opennash.com/blog/anthropic-cb2-bio-risk-fable-mythos/</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[AI Safety]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Why Anthropic judged Mythos 5 below CB-2 despite strong biology results, and what that says about AI bio risk thresholds. Originally published by OpenNash: https://opennash.com/blog/anthropic-cb2-bio-risk-fable-mythos/]]></description>
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      <title><![CDATA[Claude Fable 5 and Mythos 5: Same Weights, Different Safeguards]]></title>
      <link>https://opennash.com/blog/anthropic-fable-5-mythos-5-same-weights-safeguards/</link>
      <guid isPermaLink="true">https://opennash.com/blog/anthropic-fable-5-mythos-5-same-weights-safeguards/</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[AI Safety]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[How Claude Fable 5 and Mythos 5 use the same model with different safeguards for cyber, biology, chemistry, and trusted access. Originally published by OpenNash: https://opennash.com/blog/anthropic-fable-5-mythos-5-same-weights-safeguards/]]></description>
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      <title><![CDATA[Decagon Pricing, Deployment, and Ownership: What Buyers Should Check]]></title>
      <link>https://opennash.com/blog/decagon-pricing-deployment-ownership/</link>
      <guid isPermaLink="true">https://opennash.com/blog/decagon-pricing-deployment-ownership/</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Compare Decagon pricing structure, deployment tradeoffs, workflow control, and ownership questions before choosing a customer support AI platform. Originally published by OpenNash: https://opennash.com/blog/decagon-pricing-deployment-ownership/]]></description>
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      <title><![CDATA[Mythos/Fable 5 NLA: What Anthropic Found Inside]]></title>
      <link>https://opennash.com/blog/natural-language-autoencoders-ai-model-mind/</link>
      <guid isPermaLink="true">https://opennash.com/blog/natural-language-autoencoders-ai-model-mind/</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[AI Safety]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Anthropic&#39;s Mythos/Fable 5 system card uses natural language autoencoders to show gaps between visible reasoning and internal activations. Originally published by OpenNash: https://opennash.com/blog/natural-language-autoencoders-ai-model-mind/]]></description>
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      <title><![CDATA[Recursive Self-Improvement Needs a Testing Harness, Not Just a Smarter Agent]]></title>
      <link>https://opennash.com/blog/recursive-self-improvement-testing-harness-ai-agents/</link>
      <guid isPermaLink="true">https://opennash.com/blog/recursive-self-improvement-testing-harness-ai-agents/</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Recursive self-improvement in AI will depend on evals, traces, Playwright tests, and human review as much as stronger models. Originally published by OpenNash: https://opennash.com/blog/recursive-self-improvement-testing-harness-ai-agents/]]></description>
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      <title><![CDATA[AI Customer Service for Financial Services: Audit Trails, SOC 2, and What Regulators Will Actually Ask]]></title>
      <link>https://opennash.com/blog/ai-customer-service-for-financial-services-audit-trails-soc/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-customer-service-for-financial-services-audit-trails-soc/</guid>
      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[What banks and fintechs must verify before deploying AI customer service: SOC 2 evidence, audit trails, and the exact questions FFIEC and CFPB examiners ask. Originally published by OpenNash: https://opennash.com/blog/ai-customer-service-for-financial-services-audit-trails-soc/]]></description>
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      <title><![CDATA[What Is AG-UI? The Protocol Layer Agentic Apps Were Missing]]></title>
      <link>https://opennash.com/blog/what-is-ag-ui-agent-user-interaction-protocol/</link>
      <guid isPermaLink="true">https://opennash.com/blog/what-is-ag-ui-agent-user-interaction-protocol/</guid>
      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AG-UI is an event protocol for connecting agent backends to user-facing apps. Here is what it standardizes, how it differs from MCP and A2A, and where it fits in production agent architecture. Originally published by OpenNash: https://opennash.com/blog/what-is-ag-ui-agent-user-interaction-protocol/]]></description>
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      <title><![CDATA[Agentforce vs Sierra vs Decagon vs OpenNash: AI Agent Fit Compared]]></title>
      <link>https://opennash.com/blog/agentforce-vs-sierra-vs-decagon-vs-opennash/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agentforce-vs-sierra-vs-decagon-vs-opennash/</guid>
      <pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Compare]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Compare Agentforce, Sierra, Decagon, and OpenNash across pricing, workflow fit, ownership, integrations, auditability, and lock-in. Originally published by OpenNash: https://opennash.com/blog/agentforce-vs-sierra-vs-decagon-vs-opennash/]]></description>
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      <title><![CDATA[AI Agent Consulting Services: Build Production Agents You Own]]></title>
      <link>https://opennash.com/blog/ai-agent-consulting/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-consulting/</guid>
      <pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Services]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[OpenNash designs, builds, and operates production AI agents with evals, integrations, routing, memory, and human review. Originally published by OpenNash: https://opennash.com/blog/ai-agent-consulting/]]></description>
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      <title><![CDATA[AI Agent Pricing 2026: Platforms, Retainers, and True Cost]]></title>
      <link>https://opennash.com/blog/ai-agent-pricing/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-pricing/</guid>
      <pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Pricing]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Compare AI agent pricing models for Sierra, Agentforce, Intercom Fin, Zendesk, Decagon, and custom OpenNash builds. Originally published by OpenNash: https://opennash.com/blog/ai-agent-pricing/]]></description>
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      <title><![CDATA[HIPAA-Compliant AI Customer Service: What Healthcare Buyers Actually Need to Verify]]></title>
      <link>https://opennash.com/blog/hipaa-compliant-ai-customer-service-what-healthcare-buyers/</link>
      <guid isPermaLink="true">https://opennash.com/blog/hipaa-compliant-ai-customer-service-what-healthcare-buyers/</guid>
      <pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A buyer-side checklist for HIPAA-compliant AI customer service: BAAs, subprocessor coverage, PHI logging, model isolation, and human-in-the-loop. Originally published by OpenNash: https://opennash.com/blog/hipaa-compliant-ai-customer-service-what-healthcare-buyers/]]></description>
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      <title><![CDATA[Why You Need an AI Services Partner: AGI Ships, But It Does Not Self-Install]]></title>
      <link>https://opennash.com/blog/why-you-need-an-ai-services-partner-agi-ships-but-it-does/</link>
      <guid isPermaLink="true">https://opennash.com/blog/why-you-need-an-ai-services-partner-agi-ships-but-it-does/</guid>
      <pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Smart models are not a deployment plan. Why enterprises need an AI services partner to assemble, integrate, and operate agents in production. Originally published by OpenNash: https://opennash.com/blog/why-you-need-an-ai-services-partner-agi-ships-but-it-does/]]></description>
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      <title><![CDATA[Workflow Discovery for AI Automation: Map the Process Before You Build the Agent]]></title>
      <link>https://opennash.com/blog/workflow-discovery-for-ai-automation-map-the-process-before/</link>
      <guid isPermaLink="true">https://opennash.com/blog/workflow-discovery-for-ai-automation-map-the-process-before/</guid>
      <pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Why governed AI workflows start with process discovery, not model selection. A practical guide to shadowing operators, mapping handoffs, and locating real judgment. Originally published by OpenNash: https://opennash.com/blog/workflow-discovery-for-ai-automation-map-the-process-before/]]></description>
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      <title><![CDATA[Decagon Alternatives in 2026: 7 Options Compared on Pricing, Deployment Time, and Ownership]]></title>
      <link>https://opennash.com/blog/decagon-alternatives-in-2026-7-options-compared-on-pricing/</link>
      <guid isPermaLink="true">https://opennash.com/blog/decagon-alternatives-in-2026-7-options-compared-on-pricing/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Comparing 7 Decagon alternatives in 2026 on pricing, deployment time, and ownership - from Intercom Fin to Rasa to building a custom AI support agent. Originally published by OpenNash: https://opennash.com/blog/decagon-alternatives-in-2026-7-options-compared-on-pricing/]]></description>
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      <title><![CDATA[AI in Insurance: Where Deterministic Automation Saves Time First]]></title>
      <link>https://opennash.com/blog/ai-in-insurance-where-deterministic-automation-saves-time/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-in-insurance-where-deterministic-automation-saves-time/</guid>
      <pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A field guide to insurance automation that starts with reading, routing, and reconciling documents before asking AI to make judgment calls. Originally published by OpenNash: https://opennash.com/blog/ai-in-insurance-where-deterministic-automation-saves-time/]]></description>
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      <title><![CDATA[How to Eval AI Agents in 2026: From Pretty Demos to Production Evidence]]></title>
      <link>https://opennash.com/blog/how-to-eval-ai-agents-in-2026-from-pretty-demos-to/</link>
      <guid isPermaLink="true">https://opennash.com/blog/how-to-eval-ai-agents-in-2026-from-pretty-demos-to/</guid>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical 2026 framework for evaluating AI agents: trajectory checks, tool-call accuracy, source grounding, regression tests, and post-launch failure capture. Originally published by OpenNash: https://opennash.com/blog/how-to-eval-ai-agents-in-2026-from-pretty-demos-to/]]></description>
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      <title><![CDATA[Macro Evals for Agentic Systems: Why One Failed Trace Is Not Enough]]></title>
      <link>https://opennash.com/blog/macro-evals-for-agentic-systems-why-one-failed-trace-is-not/</link>
      <guid isPermaLink="true">https://opennash.com/blog/macro-evals-for-agentic-systems-why-one-failed-trace-is-not/</guid>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Single-trace debugging hides agent drift. Macro evals join labels across thousands of runs to find recurring failures before customers do. Originally published by OpenNash: https://opennash.com/blog/macro-evals-for-agentic-systems-why-one-failed-trace-is-not/]]></description>
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      <title><![CDATA[Replacing Junior Jobs With AI Is a Bad Business Strategy]]></title>
      <link>https://opennash.com/blog/replacing-junior-jobs-with-ai-is-a-bad-business-strategy/</link>
      <guid isPermaLink="true">https://opennash.com/blog/replacing-junior-jobs-with-ai-is-a-bad-business-strategy/</guid>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Cutting entry-level roles to save on headcount looks smart on a spreadsheet and breaks your talent pipeline. Here is the better playbook. Originally published by OpenNash: https://opennash.com/blog/replacing-junior-jobs-with-ai-is-a-bad-business-strategy/]]></description>
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      <title><![CDATA[Self-Improving AI Agents Are Not Magic: What OpenAI&#39;s Tax AI and Karpathy&#39;s Autoresearch Teach Builders]]></title>
      <link>https://opennash.com/blog/self-improving-ai-agents-are-not-magic-what-openais-tax-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/self-improving-ai-agents-are-not-magic-what-openais-tax-ai/</guid>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Self-improving AI agents need expert feedback, eval targets, and rollback - not recursion. What OpenAI&#39;s tax agent and Karpathy&#39;s autoresearch loop teach builders. Originally published by OpenNash: https://opennash.com/blog/self-improving-ai-agents-are-not-magic-what-openais-tax-ai/]]></description>
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      <title><![CDATA[What the Anthropic Cookbooks Reveal About Building Agents That Actually Work]]></title>
      <link>https://opennash.com/blog/what-the-anthropic-cookbooks-reveal-about-building-agents/</link>
      <guid isPermaLink="true">https://opennash.com/blog/what-the-anthropic-cookbooks-reveal-about-building-agents/</guid>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[The Anthropic cookbooks teach by example: useful agents come from runtime shape - tools, evals, graders, and lifecycle - not magic prompts. Originally published by OpenNash: https://opennash.com/blog/what-the-anthropic-cookbooks-reveal-about-building-agents/]]></description>
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      <title><![CDATA[AI Agent Deployment Is Not the Finish Line: The Operating Model After Launch]]></title>
      <link>https://opennash.com/blog/ai-agent-deployment-is-not-the-finish-line-the-operating/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-deployment-is-not-the-finish-line-the-operating/</guid>
      <pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Most teams treat AI agent launch as the end. It&#39;s the start. Here&#39;s the operating model, checklist, and post-launch questions that separate live systems from demos. Originally published by OpenNash: https://opennash.com/blog/ai-agent-deployment-is-not-the-finish-line-the-operating/]]></description>
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      <title><![CDATA[Open AI Strategy: Why Model Routing, Traces, and Memory Beat Vendor Lock-In]]></title>
      <link>https://opennash.com/blog/open-ai-strategy-why-model-routing-traces-and-memory-beat/</link>
      <guid isPermaLink="true">https://opennash.com/blog/open-ai-strategy-why-model-routing-traces-and-memory-beat/</guid>
      <pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[An open AI strategy with model routing, traces, and memory beats vendor lock-in. Own the harness, swap the models, keep leverage in 2026. Originally published by OpenNash: https://opennash.com/blog/open-ai-strategy-why-model-routing-traces-and-memory-beat/]]></description>
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      <title><![CDATA[Verifiable Outcomes: Why the Best AI Agents Start With Boring Proof]]></title>
      <link>https://opennash.com/blog/verifiable-outcomes-why-the-best-ai-agents-start-with/</link>
      <guid isPermaLink="true">https://opennash.com/blog/verifiable-outcomes-why-the-best-ai-agents-start-with/</guid>
      <pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[The phrase that matters in enterprise AI isn&#39;t autonomous agent. It&#39;s verifiable outcome. Here&#39;s how to build agents with measurable proof. Originally published by OpenNash: https://opennash.com/blog/verifiable-outcomes-why-the-best-ai-agents-start-with/]]></description>
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      <title><![CDATA[Open Source Just Caught Up to Opus 4.5: Why the Moat Is the Harness, Not the Model]]></title>
      <link>https://opennash.com/blog/open-source-just-caught-up-to-opus-45-why-the-moat-is-the/</link>
      <guid isPermaLink="true">https://opennash.com/blog/open-source-just-caught-up-to-opus-45-why-the-moat-is-the/</guid>
      <pubDate>Fri, 15 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[GLM 5.1, Kimi 2.6, and DeepSeek V4 Pro now rival Opus 4.5 on enterprise tasks. The real moat moved to workflows, evals, and guardrails. Originally published by OpenNash: https://opennash.com/blog/open-source-just-caught-up-to-opus-45-why-the-moat-is-the/]]></description>
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      <title><![CDATA[AI Receptionist for Law Firms: Intake, Conflicts, Escalation, and Audit Trails]]></title>
      <link>https://opennash.com/blog/ai-receptionist-for-law-firms-intake-conflicts-escalation/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-receptionist-for-law-firms-intake-conflicts-escalation/</guid>
      <pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[How AI receptionists for law firms handle intake, conflict checks, jurisdiction routing, and audit trails - and where generic answering bots break. Originally published by OpenNash: https://opennash.com/blog/ai-receptionist-for-law-firms-intake-conflicts-escalation/]]></description>
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      <title><![CDATA[Best AI Voice Agents for Customer Support: Retell, Bland, Synthflow, Sierra, and Custom Compared]]></title>
      <link>https://opennash.com/blog/best-ai-voice-agents-for-customer-support-retell-bland/</link>
      <guid isPermaLink="true">https://opennash.com/blog/best-ai-voice-agents-for-customer-support-retell-bland/</guid>
      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Tested comparison of Retell, Bland, Synthflow, Sierra, and custom voice stacks across latency, telephony, handoff, compliance, and switching cost. Originally published by OpenNash: https://opennash.com/blog/best-ai-voice-agents-for-customer-support-retell-bland/]]></description>
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      <title><![CDATA[AI Customer Support Platform vs Custom AI Agent: Build, Buy, or Own in 2026]]></title>
      <link>https://opennash.com/blog/ai-customer-support-platform-vs-custom-ai-agent-build-buy/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-customer-support-platform-vs-custom-ai-agent-build-buy/</guid>
      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A decision framework for choosing between AI customer support platforms and custom AI agents based on workflow complexity, data control, and exit cost. Originally published by OpenNash: https://opennash.com/blog/ai-customer-support-platform-vs-custom-ai-agent-build-buy/]]></description>
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      <title><![CDATA[Zendesk AI Agent Pricing: Licenses, Setup, and Resolution Fees]]></title>
      <link>https://opennash.com/blog/zendesk-ai-agent-pricing-what-you-pay-before-the-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/zendesk-ai-agent-pricing-what-you-pay-before-the-ai/</guid>
      <pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Real Zendesk AI agent pricing for 2026: suite seats, included AI agents, automated-resolution fees, setup costs, and the hidden expenses most buyers miss. Originally published by OpenNash: https://opennash.com/blog/zendesk-ai-agent-pricing-what-you-pay-before-the-ai/]]></description>
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      <title><![CDATA[Sierra AI Pricing: What Outcome-Based Really Costs and When to Walk Away]]></title>
      <link>https://opennash.com/blog/sierra-ai-pricing-what-outcome-based-really-costs-and-when/</link>
      <guid isPermaLink="true">https://opennash.com/blog/sierra-ai-pricing-what-outcome-based-really-costs-and-when/</guid>
      <pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Sierra AI starts at $150K/year with outcome-based pricing. Here&#39;s what &#39;resolution&#39; actually means, the hidden risks, and four cheaper alternatives. Originally published by OpenNash: https://opennash.com/blog/sierra-ai-pricing-what-outcome-based-really-costs-and-when/]]></description>
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      <title><![CDATA[Agentforce vs. Sierra vs. Custom AI Agents: Which Customer AI Platform Actually Fits?]]></title>
      <link>https://opennash.com/blog/agentforce-vs-sierra-vs-custom-ai-agents-which-customer-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agentforce-vs-sierra-vs-custom-ai-agents-which-customer-ai/</guid>
      <pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Agentforce vs Sierra comparison covering pricing, channels, customization, and lock-in. Plus when a custom AI agent beats both platforms. Originally published by OpenNash: https://opennash.com/blog/agentforce-vs-sierra-vs-custom-ai-agents-which-customer-ai/]]></description>
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      <title><![CDATA[AI Coding Harnesses: Stop Writing Code, Start Designing the System Around the Agent]]></title>
      <link>https://opennash.com/blog/ai-coding-harnesses-stop-writing-code-start-writing-harnesses/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-coding-harnesses-stop-writing-code-start-writing-harnesses/</guid>
      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI coding agents work when the harness makes work bounded, checkable, structured, and verifiable. Here is the practical architecture for teams. Originally published by OpenNash: https://opennash.com/blog/ai-coding-harnesses-stop-writing-code-start-writing-harnesses/]]></description>
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      <title><![CDATA[Notion AI Agent Architecture: 5 Rebuilds, 100+ Tools, and What Finally Worked]]></title>
      <link>https://opennash.com/blog/notion-ai-agent-architecture-5-rebuilds-100-tools/</link>
      <guid isPermaLink="true">https://opennash.com/blog/notion-ai-agent-architecture-5-rebuilds-100-tools/</guid>
      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Notion rebuilt its AI agent five times. Here is the architecture lesson for teams building custom agents, evals, tool layers, and workflow automation. Originally published by OpenNash: https://opennash.com/blog/notion-ai-agent-architecture-5-rebuilds-100-tools/]]></description>
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      <title><![CDATA[Why You Need a Professional Services Partner to Deploy AI Agents (And What That Actually Looks Like)]]></title>
      <link>https://opennash.com/blog/why-you-need-a-professional-services-partner-to-deploy-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/why-you-need-a-professional-services-partner-to-deploy-ai/</guid>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agent deployment is not a software install. Here is the playbook for shipping production agents and when an implementation partner pays for itself. Originally published by OpenNash: https://opennash.com/blog/why-you-need-a-professional-services-partner-to-deploy-ai/]]></description>
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      <title><![CDATA[Build vs Buy AI Customer Support: The 3-Year Cost Sierra, Ada, and Salesforce Hope You Skip]]></title>
      <link>https://opennash.com/blog/ai-agent-platforms-vs-custom-built-ai-the-real-3-year-cost/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-platforms-vs-custom-built-ai-the-real-3-year-cost/</guid>
      <pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A buyer&#39;s guide to build vs buy AI customer support in 2026. Real 3-year TCO for Sierra, Ada, Decagon, Intercom Fin, Salesforce Agentforce, and Zendesk AI vs custom-built agents - plus a decision framework you can use this week. Originally published by OpenNash: https://opennash.com/blog/ai-agent-platforms-vs-custom-built-ai-the-real-3-year-cost/]]></description>
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      <title><![CDATA[Intercom Fin Pricing Reality: When $0.99 Per Resolution Becomes a $1.2M Problem]]></title>
      <link>https://opennash.com/blog/intercom-fin-pricing-reality-when-099-per-resolution/</link>
      <guid isPermaLink="true">https://opennash.com/blog/intercom-fin-pricing-reality-when-099-per-resolution/</guid>
      <pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Intercom Fin&#39;s $0.99/resolution pricing looks simple until you scale. A full cost and ownership breakdown of Fin vs. building your own AI agent, with real numbers. Originally published by OpenNash: https://opennash.com/blog/intercom-fin-pricing-reality-when-099-per-resolution/]]></description>
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      <title><![CDATA[Ada AI Review 2026: Pricing Reality, Platform Limits, and When Custom Wins]]></title>
      <link>https://opennash.com/blog/ada-ai-review-2026-pricing-reality-platform-limits-and-when/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ada-ai-review-2026-pricing-reality-platform-limits-and-when/</guid>
      <pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Ada&#39;s AI is genuinely good at standard customer support. But per-conversation pricing and platform constraints create a cost trap. Here&#39;s the honest comparison. Originally published by OpenNash: https://opennash.com/blog/ada-ai-review-2026-pricing-reality-platform-limits-and-when/]]></description>
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      <title><![CDATA[Salesforce Agentforce vs. Custom AI Agents: When the CRM Giant Isn&#39;t the Right Fit]]></title>
      <link>https://opennash.com/blog/salesforce-agentforce-vs-custom-ai-agents-when-the-crm/</link>
      <guid isPermaLink="true">https://opennash.com/blog/salesforce-agentforce-vs-custom-ai-agents-when-the-crm/</guid>
      <pubDate>Fri, 17 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Agentforce pricing starts at $2/conversation and scales fast. Here&#39;s when custom AI agents cost less, do more, and don&#39;t lock you into Salesforce. Originally published by OpenNash: https://opennash.com/blog/salesforce-agentforce-vs-custom-ai-agents-when-the-crm/]]></description>
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      <title><![CDATA[Why &#39;Configurable&#39; Isn&#39;t &#39;Custom&#39;: What Businesses Actually Get from AI Agent Platforms vs. Purpose-Built Software]]></title>
      <link>https://opennash.com/blog/why-configurable-isnt-custom-what-businesses-actually-get/</link>
      <guid isPermaLink="true">https://opennash.com/blog/why-configurable-isnt-custom-what-businesses-actually-get/</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Configurable AI platforms and custom-built AI agents solve different problems. Here&#39;s how to tell which one your business actually needs. Originally published by OpenNash: https://opennash.com/blog/why-configurable-isnt-custom-what-businesses-actually-get/]]></description>
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      <title><![CDATA[AI Agent Audit Trails: What Regulated Industries Need Before Deploying Agents]]></title>
      <link>https://opennash.com/blog/ai-agent-audit-trails-what-regulated-industries-need-before/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-audit-trails-what-regulated-industries-need-before/</guid>
      <pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Finance, healthcare, and legal teams want AI agents but compliance blocks deployment. Here&#39;s the audit trail architecture that gets regulated industries past the starting line. Originally published by OpenNash: https://opennash.com/blog/ai-agent-audit-trails-what-regulated-industries-need-before/]]></description>
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      <title><![CDATA[LLM Routing in Production: How to Pick the Right Model for Each Task]]></title>
      <link>https://opennash.com/blog/llm-routing-in-production-how-to-pick-the-right-model-for/</link>
      <guid isPermaLink="true">https://opennash.com/blog/llm-routing-in-production-how-to-pick-the-right-model-for/</guid>
      <pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical guide to routing AI agent queries across model tiers - cut LLM costs 60-80% without sacrificing quality using cascading, confidence-based, and task-based routing. Originally published by OpenNash: https://opennash.com/blog/llm-routing-in-production-how-to-pick-the-right-model-for/]]></description>
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      <title><![CDATA[Open-Source LLMs for Business Automation: When They Beat GPT-4 and When They Don&#39;t]]></title>
      <link>https://opennash.com/blog/open-source-llms-for-business-automation-when-they-beat-gpt/</link>
      <guid isPermaLink="true">https://opennash.com/blog/open-source-llms-for-business-automation-when-they-beat-gpt/</guid>
      <pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical decision framework for choosing between open-source and proprietary LLMs in production automation, with real cost breakdowns and use-case benchmarks. Originally published by OpenNash: https://opennash.com/blog/open-source-llms-for-business-automation-when-they-beat-gpt/]]></description>
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      <title><![CDATA[Agent Reliability Engineering: SRE Patterns That Keep AI Agents Running in Production]]></title>
      <link>https://opennash.com/blog/agent-reliability-engineering-sre-patterns-that-keep-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agent-reliability-engineering-sre-patterns-that-keep-ai/</guid>
      <pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Apply circuit breakers, timeout budgets, fallback chains, and SLOs from site reliability engineering to keep your AI agents stable in production. Originally published by OpenNash: https://opennash.com/blog/agent-reliability-engineering-sre-patterns-that-keep-ai/]]></description>
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      <title><![CDATA[AI Agent UX: How to Design Interfaces That Users Actually Trust]]></title>
      <link>https://opennash.com/blog/ai-agent-ux-how-to-design-interfaces-that-users-actually/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-agent-ux-how-to-design-interfaces-that-users-actually/</guid>
      <pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Most AI agents fail on UX, not intelligence. Learn progressive disclosure, transparency patterns, and interface design that drives real adoption. Originally published by OpenNash: https://opennash.com/blog/ai-agent-ux-how-to-design-interfaces-that-users-actually/]]></description>
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      <title><![CDATA[Human-in-the-Loop Agent Design: 5 Patterns for When AI Should Ask Permission]]></title>
      <link>https://opennash.com/blog/human-in-the-loop-agent-design-5-patterns-for-when-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/human-in-the-loop-agent-design-5-patterns-for-when-ai/</guid>
      <pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Five proven human-in-the-loop patterns for AI agents: approval gates, confidence escalation, human-as-tool, review queues, and progressive authorization. Originally published by OpenNash: https://opennash.com/blog/human-in-the-loop-agent-design-5-patterns-for-when-ai/]]></description>
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      <title><![CDATA[Your Team&#39;s First AI Agent: 5 High-ROI Starting Points That Are Not Chatbots]]></title>
      <link>https://opennash.com/blog/your-teams-first-ai-agent-5-high-roi-starting-points-that/</link>
      <guid isPermaLink="true">https://opennash.com/blog/your-teams-first-ai-agent-5-high-roi-starting-points-that/</guid>
      <pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Skip the chatbot. These 5 AI agent use cases deliver 10+ hours saved per week with minimal risk - ranked by effort-to-value ratio for your first deployment. Originally published by OpenNash: https://opennash.com/blog/your-teams-first-ai-agent-5-high-roi-starting-points-that/]]></description>
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      <title><![CDATA[Build vs. Buy AI Automation in 2026: A Decision Framework for Technical Leaders]]></title>
      <link>https://opennash.com/blog/build-vs-buy-ai-automation-in-2026-a-decision-framework-for/</link>
      <guid isPermaLink="true">https://opennash.com/blog/build-vs-buy-ai-automation-in-2026-a-decision-framework-for/</guid>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical 5-axis scoring framework to decide when to build custom AI agents, buy platforms, or go hybrid - with real cost breakdowns and switching cost analysis. Originally published by OpenNash: https://opennash.com/blog/build-vs-buy-ai-automation-in-2026-a-decision-framework-for/]]></description>
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      <title><![CDATA[Agent Memory Beyond RAG: Short-Term, Long-Term, and Episodic Memory Patterns That Work]]></title>
      <link>https://opennash.com/blog/agent-memory-beyond-rag-short-term-long-term-and-episodic/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agent-memory-beyond-rag-short-term-long-term-and-episodic/</guid>
      <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Most AI agents forget everything between calls. Here are the memory architecture patterns - short-term, long-term, and episodic - that make agents actually useful. Originally published by OpenNash: https://opennash.com/blog/agent-memory-beyond-rag-short-term-long-term-and-episodic/]]></description>
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      <title><![CDATA[Evaluation-Driven Development: How to Ship AI Features That Actually Improve Over Time]]></title>
      <link>https://opennash.com/blog/evaluation-driven-development-how-to-ship-ai-features-that/</link>
      <guid isPermaLink="true">https://opennash.com/blog/evaluation-driven-development-how-to-ship-ai-features-that/</guid>
      <pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Stop vibe-checking your AI features. Learn the three levels of LLM evaluation and how eval-driven development catches regressions before users do. Originally published by OpenNash: https://opennash.com/blog/evaluation-driven-development-how-to-ship-ai-features-that/]]></description>
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      <title><![CDATA[AI Labor Market Impact 2026: What to Automate Now and What Still Needs Humans]]></title>
      <link>https://opennash.com/blog/ai-labor-market-impact-2026-what-to-automate-now-and-what/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-labor-market-impact-2026-what-to-automate-now-and-what/</guid>
      <pubDate>Fri, 13 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Anthropic&#39;s March 2026 report reveals a gap between AI&#39;s theoretical and observed job exposure. Here&#39;s the 30-60-90 day playbook for operators acting on it. Originally published by OpenNash: https://opennash.com/blog/ai-labor-market-impact-2026-what-to-automate-now-and-what/]]></description>
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      <title><![CDATA[The 8 Levels of Agentic Engineering: How Teams Move from Copilot to Background Agents]]></title>
      <link>https://opennash.com/blog/the-8-levels-of-agentic-engineering-how-teams-move-from/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-8-levels-of-agentic-engineering-how-teams-move-from/</guid>
      <pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A maturity model for engineering teams adopting AI agents - from IDE autocomplete to fully autonomous background agents with evals and governance. Originally published by OpenNash: https://opennash.com/blog/the-8-levels-of-agentic-engineering-how-teams-move-from/]]></description>
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      <title><![CDATA[AI Automation, SaaS Stock Drops, and the Future of Apps: What Actually Gets Repriced]]></title>
      <link>https://opennash.com/blog/ai-automation-saas-stock-drops-and-the-future-of-apps-what/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ai-automation-saas-stock-drops-and-the-future-of-apps-what/</guid>
      <pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[SaaS stocks are down double digits in 2026. Here&#39;s what&#39;s actually being repriced, what compounds in value, and how to plan your AI automation budget. Originally published by OpenNash: https://opennash.com/blog/ai-automation-saas-stock-drops-and-the-future-of-apps-what/]]></description>
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      <title><![CDATA[Why AI Agents Fail in Production: 7 Failure Modes and How to Prevent Them]]></title>
      <link>https://opennash.com/blog/why-ai-agents-fail-in-production-7-failure-modes-and-how-to/</link>
      <guid isPermaLink="true">https://opennash.com/blog/why-ai-agents-fail-in-production-7-failure-modes-and-how-to/</guid>
      <pubDate>Fri, 06 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agents that work in demos break in production. Here are the 7 most common failure modes, how to detect them, and the engineering fixes that actually work. Originally published by OpenNash: https://opennash.com/blog/why-ai-agents-fail-in-production-7-failure-modes-and-how-to/]]></description>
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      <title><![CDATA[9 Agentic Workflow Patterns Ranked: Which Ones Actually Work in Production]]></title>
      <link>https://opennash.com/blog/9-agentic-workflow-patterns-ranked-which-ones-actually-work/</link>
      <guid isPermaLink="true">https://opennash.com/blog/9-agentic-workflow-patterns-ranked-which-ones-actually-work/</guid>
      <pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[We ranked 9 agentic workflow patterns by complexity, reliability, and cost. Here&#39;s which ones ship clean and which ones eat your budget alive. Originally published by OpenNash: https://opennash.com/blog/9-agentic-workflow-patterns-ranked-which-ones-actually-work/]]></description>
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      <title><![CDATA[The $50-a-Day Agent: Cost Engineering for Production AI Workflows]]></title>
      <link>https://opennash.com/blog/the-50-a-day-agent-cost-engineering-for-production-ai/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-50-a-day-agent-cost-engineering-for-production-ai/</guid>
      <pubDate>Fri, 27 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Most AI agent POCs ignore cost until they hit production. Here&#39;s how to budget tokens, route models, and keep your agent running at $50/day or less. Originally published by OpenNash: https://opennash.com/blog/the-50-a-day-agent-cost-engineering-for-production-ai/]]></description>
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      <title><![CDATA[OpenClaw for Business: What It Is, How It Works, and When to Deploy It]]></title>
      <link>https://opennash.com/blog/openclaw-for-business-what-it-is-how-it-works-and-when-to/</link>
      <guid isPermaLink="true">https://opennash.com/blog/openclaw-for-business-what-it-is-how-it-works-and-when-to/</guid>
      <pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical guide to OpenClaw - the self-hosted AI assistant with 232k GitHub stars. Architecture, business use cases, security pitfalls, and deployment readiness. Originally published by OpenNash: https://opennash.com/blog/openclaw-for-business-what-it-is-how-it-works-and-when-to/]]></description>
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      <title><![CDATA[AI&#39;s Real Bottleneck Isn&#39;t Software. It&#39;s Materials.]]></title>
      <link>https://opennash.com/blog/ais-real-bottleneck-isnt-software-its-materials/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ais-real-bottleneck-isnt-software-its-materials/</guid>
      <pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Podcast]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[CuspAI&#39;s Max Welling on treating nature as computation, why AI for science is exploding, and how materials discovery could reshape the energy transition. Originally published by OpenNash: https://opennash.com/blog/ais-real-bottleneck-isnt-software-its-materials/]]></description>
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      <title><![CDATA[How to Pick an AI Agent Platform Without Getting Locked In]]></title>
      <link>https://opennash.com/blog/how-to-pick-an-ai-agent-platform-without-getting-locked-in/</link>
      <guid isPermaLink="true">https://opennash.com/blog/how-to-pick-an-ai-agent-platform-without-getting-locked-in/</guid>
      <pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A buyer&#39;s evaluation framework for AI agent platforms. Assess portability, credential ownership, orchestration lock-in, and exit costs before you commit. Originally published by OpenNash: https://opennash.com/blog/how-to-pick-an-ai-agent-platform-without-getting-locked-in/]]></description>
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      <title><![CDATA[6 Agentic Knowledge Base Patterns: How AI Agents Are Replacing Static Wikis]]></title>
      <link>https://opennash.com/blog/6-agentic-knowledge-base-patterns-how-ai-agents-are/</link>
      <guid isPermaLink="true">https://opennash.com/blog/6-agentic-knowledge-base-patterns-how-ai-agents-are/</guid>
      <pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Static wikis decay the moment you publish them. Here are 6 agentic knowledge base patterns that keep themselves current - and a decision matrix for when you actually need them. Originally published by OpenNash: https://opennash.com/blog/6-agentic-knowledge-base-patterns-how-ai-agents-are/]]></description>
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      <title><![CDATA[From Pilot to Production: The Enterprise AI Agent Readiness Checklist]]></title>
      <link>https://opennash.com/blog/from-pilot-to-production-the-enterprise-ai-agent-readiness/</link>
      <guid isPermaLink="true">https://opennash.com/blog/from-pilot-to-production-the-enterprise-ai-agent-readiness/</guid>
      <pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Most AI agent pilots never reach production. Use this enterprise readiness checklist to bridge the gap - covering evaluation, monitoring, cost controls, and handoff strategy. Originally published by OpenNash: https://opennash.com/blog/from-pilot-to-production-the-enterprise-ai-agent-readiness/]]></description>
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      <title><![CDATA[The Lethal Trifecta: Securing AI Agents Against Data Exfiltration (Enterprise Checklist)]]></title>
      <link>https://opennash.com/blog/the-lethal-trifecta-securing-ai-agents-against-data/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-lethal-trifecta-securing-ai-agents-against-data/</guid>
      <pubDate>Mon, 16 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agents with private data access, untrusted inputs, and exfiltration paths create a perfect storm. Here&#39;s the enterprise security checklist to stop it. Originally published by OpenNash: https://opennash.com/blog/the-lethal-trifecta-securing-ai-agents-against-data/]]></description>
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      <title><![CDATA[5 AI Agent Use Cases That Work in &#39;Boring&#39; Companies]]></title>
      <link>https://opennash.com/blog/5-ai-agent-use-cases-that-work-in-boring-companies/</link>
      <guid isPermaLink="true">https://opennash.com/blog/5-ai-agent-use-cases-that-work-in-boring-companies/</guid>
      <pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Invoice triage, support drafting, CRM cleanup, scheduling, and anomaly detection - the unsexy AI agent use cases delivering real ROI right now. Originally published by OpenNash: https://opennash.com/blog/5-ai-agent-use-cases-that-work-in-boring-companies/]]></description>
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      <title><![CDATA[From Prototype to Production: The Agent Deployment Checklist]]></title>
      <link>https://opennash.com/blog/from-prototype-to-production-the-agent-deployment-checklist/</link>
      <guid isPermaLink="true">https://opennash.com/blog/from-prototype-to-production-the-agent-deployment-checklist/</guid>
      <pubDate>Thu, 12 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical checklist for moving AI agents from prototype demos to production systems with guardrails, monitoring, and safe rollout controls. Originally published by OpenNash: https://opennash.com/blog/from-prototype-to-production-the-agent-deployment-checklist/]]></description>
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      <title><![CDATA[LLM Evaluation Beyond ROUGE: Building Custom Evals for Enterprise Agents]]></title>
      <link>https://opennash.com/blog/llm-evaluation-beyond-rouge-building-custom-evals-for/</link>
      <guid isPermaLink="true">https://opennash.com/blog/llm-evaluation-beyond-rouge-building-custom-evals-for/</guid>
      <pubDate>Wed, 04 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Generic metrics fail for AI agents. Learn the 3-level testing framework and error analysis methods that actually predict production success. Originally published by OpenNash: https://opennash.com/blog/llm-evaluation-beyond-rouge-building-custom-evals-for/]]></description>
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      <title><![CDATA[Agentic Workflows vs Traditional Automation: When to Choose Each (2026 Guide)]]></title>
      <link>https://opennash.com/blog/agentic-workflows-vs-traditional-automation-when-to-choose/</link>
      <guid isPermaLink="true">https://opennash.com/blog/agentic-workflows-vs-traditional-automation-when-to-choose/</guid>
      <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Field guide]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[A practical decision framework for choosing between linear automation, conditional routing, and true agentic loops. Based on patterns from production deployments. Originally published by OpenNash: https://opennash.com/blog/agentic-workflows-vs-traditional-automation-when-to-choose/]]></description>
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      <title><![CDATA[The Lethal Trifecta: Why Your AI Agent Is a Data Leak Waiting to Happen]]></title>
      <link>https://opennash.com/blog/the-lethal-trifecta-why-your-ai-agent-is-a-data-leak/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-lethal-trifecta-why-your-ai-agent-is-a-data-leak/</guid>
      <pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[AI agents with private data access, untrusted input, and exfiltration tools create a perfect storm for data theft. Here&#39;s how to secure yours. Originally published by OpenNash: https://opennash.com/blog/the-lethal-trifecta-why-your-ai-agent-is-a-data-leak/]]></description>
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      <title><![CDATA[AI Agent Evals for Non-Technical Leaders]]></title>
      <link>https://opennash.com/blog/how-to-know-if-your-ai-agent-actually-works-evals-for-non/</link>
      <guid isPermaLink="true">https://opennash.com/blog/how-to-know-if-your-ai-agent-actually-works-evals-for-non/</guid>
      <pubDate>Mon, 26 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Learn the 3 levels of AI agent evaluation that separate working systems from expensive demos. A practical guide to LLM evals for business leaders. Originally published by OpenNash: https://opennash.com/blog/how-to-know-if-your-ai-agent-actually-works-evals-for-non/]]></description>
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      <title><![CDATA[CAISO Storage Daily Brief: Dispatch, Prices &amp; Ancillaries (2026)]]></title>
      <link>https://opennash.com/blog/caiso-storage-daily/</link>
      <guid isPermaLink="true">https://opennash.com/blog/caiso-storage-daily/</guid>
      <pubDate>Fri, 23 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Resource]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Daily California battery storage dispatch data including charge/discharge patterns, ancillary services procurement, and LMP prices at trading hubs. Updated daily from CAISO. Originally published by OpenNash: https://opennash.com/blog/caiso-storage-daily/]]></description>
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      <title><![CDATA[ERCOT Prices Today: Day-Ahead, Real-Time &amp; Ancillary (2026)]]></title>
      <link>https://opennash.com/blog/ercot-prices-today/</link>
      <guid isPermaLink="true">https://opennash.com/blog/ercot-prices-today/</guid>
      <pubDate>Fri, 23 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Resource]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Live ERCOT electricity prices by hub and zone. Day-ahead, real-time, and ancillary services prices with arbitrage spreads and volatility rankings. Originally published by OpenNash: https://opennash.com/blog/ercot-prices-today/]]></description>
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      <title><![CDATA[The Hidden Tax of Agents: Compound Error and Cost Explosions]]></title>
      <link>https://opennash.com/blog/the-hidden-tax-of-agents-compound-error-and-cost-explosions/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-hidden-tax-of-agents-compound-error-and-cost-explosions/</guid>
      <pubDate>Fri, 23 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Market]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Why AI agents that work 95% of the time fail 40% of multi-step tasks, and how to calculate the true cost of agentic systems before deploying to production. Originally published by OpenNash: https://opennash.com/blog/the-hidden-tax-of-agents-compound-error-and-cost-explosions/]]></description>
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      <title><![CDATA[Clinical Trial Sponsors List: Top 500 Recruiting (2026)]]></title>
      <link>https://opennash.com/blog/clinical-trial-sponsors-list/</link>
      <guid isPermaLink="true">https://opennash.com/blog/clinical-trial-sponsors-list/</guid>
      <pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Resource]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Top 500 organizations sponsoring recruiting clinical trials. Searchable database of pharma, biotech, academic, NIH, and government sponsors with recruiting trial counts. Data from ClinicalTrials.gov. Originally published by OpenNash: https://opennash.com/blog/clinical-trial-sponsors-list/]]></description>
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      <title><![CDATA[FDA 510(k) Cleared Companies: Complete List (2026)]]></title>
      <link>https://opennash.com/blog/fda-510k-companies-list/</link>
      <guid isPermaLink="true">https://opennash.com/blog/fda-510k-companies-list/</guid>
      <pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Resource]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Searchable list of 500 medical device companies ranked by FDA 510(k) clearances with recent activity, specialty, and location data from the OpenFDA database. Originally published by OpenNash: https://opennash.com/blog/fda-510k-companies-list/]]></description>
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      <title><![CDATA[Fortune 500 Full List (2026)]]></title>
      <link>https://opennash.com/blog/fortune-500-full-list/</link>
      <guid isPermaLink="true">https://opennash.com/blog/fortune-500-full-list/</guid>
      <pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Resource]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Complete list of all 500 Fortune 500 companies for 2026 with rankings, industries, revenue, and simple explanations of how each company makes money. Originally published by OpenNash: https://opennash.com/blog/fortune-500-full-list/]]></description>
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      <title><![CDATA[Y Combinator Companies: Full List (2026)]]></title>
      <link>https://opennash.com/blog/yc-companies-full-list/</link>
      <guid isPermaLink="true">https://opennash.com/blog/yc-companies-full-list/</guid>
      <pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Resource]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Complete searchable list of all 5,644 Y Combinator startups with batch, status, industry, team size, and how each company makes money. Filter by Active, Public, or Acquired companies. Originally published by OpenNash: https://opennash.com/blog/yc-companies-full-list/]]></description>
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      <title><![CDATA[Personal AI Infrastructure: How Scaffolding Changes Everything]]></title>
      <link>https://opennash.com/blog/personal-ai-infrastructure-how-scaffolding-changes/</link>
      <guid isPermaLink="true">https://opennash.com/blog/personal-ai-infrastructure-how-scaffolding-changes/</guid>
      <pubDate>Wed, 21 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Podcast]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Daniel Miessler&#39;s PAI framework shows why the future of AI isn&#39;t better models - it&#39;s better harnesses that know your goals and help you achieve them. Originally published by OpenNash: https://opennash.com/blog/personal-ai-infrastructure-how-scaffolding-changes/]]></description>
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      <title><![CDATA[Five Production Agent Patterns from Anthropic&#39;s Playbook]]></title>
      <link>https://opennash.com/blog/the-5-agent-patterns-that-actually-work-in-production/</link>
      <guid isPermaLink="true">https://opennash.com/blog/the-5-agent-patterns-that-actually-work-in-production/</guid>
      <pubDate>Wed, 21 Jan 2026 00:00:00 GMT</pubDate>
      <dc:creator><![CDATA[OpenNash]]></dc:creator>
      
      <category><![CDATA[Engineering]]></category>
      
      <media:content url="https://opennash.com/images/favicon.png" medium="image" />
      <description><![CDATA[Move beyond agent hype with Anthropic&#39;s battle-tested patterns: prompt chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizer. Originally published by OpenNash: https://opennash.com/blog/the-5-agent-patterns-that-actually-work-in-production/]]></description>
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