Latest posts
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Keeping Token Cost Predictable in Long-Running Agents
Control per-step budgets, grounding checks, and cache hits so agent loops stay within fixed token envelopes.
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Confirmation Gates Before Agent Sends, Payments, or Deletes
Insert explicit human approval steps into agent tool loops to block unintended outbound, financial, or destructive actions.
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How to Build Tool-Calling AI Agents with LangGraph and OpenAI
Build production-grade tool-calling agents by modeling state transitions explicitly with LangGraph and OpenAI function calling instead of brittle prompt loops.
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Building Production AI Agents: The Architecture That Actually Ships
The loop, grounding, guardrails, and cost controls that separate a demo agent from one you can put in front of customers.