What is artificial intelligence agent self-correction?
Definition
Artificial intelligence agent self-correction depends on feedback that is independent of the agent's own confidence. A compiler error, failing test, linter violation or deterministic service result can show that an implementation has not reached the required state.
The agent can interpret the failure, change its approach and rerun the check within bounded retry limits. Self-correction improves autonomy, but repeated attempts should stop when the evidence is ambiguous, permissions change or the same failure continues.
Acronyms and aliases
AI agent self-correction acronymagent self-correction variant
Related terms
Frequently asked questions
What feedback helps an artificial intelligence agent self-correct?
Compilers, linters, tests, schemas, policy checks and other deterministic tools provide clear evidence that the current attempt does not satisfy a requirement.
When should agent self-correction stop?
It should stop after bounded retries, repeated failures, uncertain requirements, permission problems or any condition requiring accountable human judgment.
