AI Harness Engineering — Index

AI Harness Engineering

Definition. An AI harness is the software and policy layer that turns one or more models into a controlled system: it assembles context, exposes tools, maintains state, enforces permissions, handles failures, records evidence, evaluates results, and routes uncertain cases to people.

# Lesson
1 What is an AI harness?
2 Reference architecture
3 Instruction and context assembly
4 Model adapters and routing
5 Tools and structured outputs
6 State, memory, and checkpoints
7 Permissions, sandboxing, and human approval
8 Retries, idempotency, and recovery
9 Observability, cost, and run records
10 Harness contract and lifecycle