The Error Detection Loop
Self-correction is the ability of an agent to identify and fix its own errors without human intervention. This is achieved through "Reflection Loops." After generating an output or taking an action, the agent acts as its own "Critic," reviewing the result against the original goal and a set of quality guardrails.
If the critic-agent detects a mistake (e.g., a code bug or a factual error), it generates a "Correction Prompt" for itself and restarts the specific sub-task. This iterative refinement is what allows agents to produce near-perfect results over time.
External Verification
Advanced agents don't just rely on internal reflection; they use "External Verification." This involves running code in a sandbox to see if it works, or using a separate, specialized agent to "fact-check" a summary. By closing the loop with reality, agents can move from "Confident Guessing" to "Verified Execution."
Conclusion
Self-correction is the key to enterprise reliability. By building systems that can find and fix their own faults, we are creating a new level of trust between humans and machine intelligence.