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The 3 Layers of Agent Building
Building reliable AI agents requires a three-layer framework: the core model, a robust harness for tool loops, and specific configuration for context and human-review thresholds.
What: The article outlines a hierarchy for reliable agent design: the model itself, a 'harness' layer (managing memory, observability, and retries), and the configuration layer (defining the agent's role, permissions, and tool access).
Why it matters: Agents often fail in production because they lack observability and guardrails. Separating the execution loop from the business-specific configuration allows developers to build agents that are maintainable and safer to operate.
Original article
A framework for building reliable agents across three layers: the model, the agent harness that runs tool loops, context management, guardrails, memory, observability, and retries, and the harness configuration that gives the agent the right use-case context, tools, permissions, and human-review thresholds.
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