Session
Your Agent Lied to You and Returned a 200
Your agent returns a clean result. No errors. No stack trace. No retry. The result is wrong. This is the production failure mode that hurts the most because it is invisible. Confident incorrectness stems from three structural gaps that most agent architectures never address: Reasoning Integrity, Controllability, and Context Integrity.
These are the three agent-native pillars of AWAF, the Agent Well-Architected Framework. They have no equivalent in cloud architecture because cloud systems do not reason, plan, or act. They serve requests. Agents do not, and that difference changes everything about how failure happens.
Reasoning Integrity is whether your agent picked the right tool, constructed the right call, and reasoned toward a conclusion rather than rationalized toward a wrong one. Evals are not optional. They are the only production signal you have.
Controllability is the ability to stop, redirect, or resume your agent mid-flight. Not through a prompt. Through code. Pause, Notify, Resume, or Abort must be wired into the architecture, not written into a README.
Context Integrity is the sneakiest one. Stale context, unsanitized external input, and confident ignorance about what the agent does not know corrupt reasoning from the inside before it ever reaches a tool call.
You will leave with a design checklist for all three pillars, concrete instrumentation patterns, and a clear picture of what it actually means to build an agent you can trust in production.
Yogi Aradhye
Associate Director at Accenture. Builder of production AI systems. Creator of AWAF.
Austin, Texas, United States
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