Module 3 of 3

Managing the Reasoning Gap

Developing new practices for non-deterministic software.

Agent systems defeat traditional observability. We guide you through the transition from symbolic evaluation to model-based and human-in-the-loop approaches.

How AI Agents Work
  • ~75 mins
  • 3 lessons
  • foundation
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What you'll learn

  • Explain why traditional observability is insufficient for agent systems and how to instrument reasoning chains to make invisible logic visible.
  • Navigate the structural mismatch between agent execution speed and human decision intervals.

Lessons in the Module

1 Observability and the Reasoning Gap 20–25 min
2 Evaluation and the Correctness Problem 25–30 min
3 Governance at Human Speed 25–30 min
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Further Reading

Safety

Constraint Architecture for Autonomous Agents

10 min read

Technical

The LLM-as-Judge Problem Nobody Is Talking About

7 min read

Governance

The Inference Audit Trail: Making Every AI Decision Accountable

8 min read
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