AI-AGENTS-AUTONOMOUS-WORKFLOWS4 MIN READ
Stop conditions make autonomy safe
Autonomy without a stop condition is just drift with confidence. The agent may look busy while the work gets worse. What a stop condition does A stop condition tells the agent when to end, pause, or escalate. It can be based on time, cost, loop count, missing evidence, conflicting evidence, tool failure, confidence, or risk. The point is to avoid infinite refinement and silent overreach. Useful stop rules Use iteration caps for maker/checker loops: two revision rounds, then escalate. Use evidence rules for research: stop if no primary source supports the claim. Use risk rules for action: pause before customer-facing…
Read the full lesson
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in