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Posts tagged #ai-agents

3 posts

Agent Harness Architecture: The Primitives That Make AI Agents Reliable

Agent = Model + Harness. The model is raw intelligence; the harness is the runtime that turns an unpredictable, amnesic model into a production system. The failure modes of unguided agents and the core primitives — resilient tool execution, context assembly, sandboxing, and bounded error escalation — that engineer reliability in.

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Agentic Compute Graphs: Static vs Dynamic Agent Workflows

Should your agent follow a fixed script or decide its own path at runtime? The plasticity spectrum between static workflows and dynamic multi-agent systems, the token tax of over-provisioning, LangChain vs LangGraph, and a practical architect's playbook.

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The Life Harness: How AI Models Actually Touch the Real World

A model on its own can't perceive, act, or get feedback from the physical world. The Life Harness is the four-layer interface that makes it reliable — environment contract, trajectory regulation, action fixer, and procedural memory.

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