Day 12 – Reflection & Self-correction In Agents

Why Reflection Turns Agents from Reactive to Reliable 🔁🧠 An agent that never reflects: repeats the same mistakes overconfidently returns wrong answers fails silently in production Reflection is the ability to: evaluate outcomes detect errors or uncertainty adjust strategy In short: Reflection is how agents learn within a task — not just across datasets. What Is Reflection, Exactly? Reflection is a deliberate step where the agent asks: Did this work? Why or why not? What should change next? It sits between execution and the next action. Core Loop Plan → Act → Observe → Reflect → Adjust Without the Reflect step, agents drift. Self-Correction vs Re-Planning These are related but different. Concept What It Does When Used Self-correction Fixes a mistake After a bad step Re-planning Changes strategy After repeated failures Good agents do both — intentionally. Types of Reflection 1️⃣ Outcome Reflection Question: “Did the result meet the goal?” Examples: Answer completeness Correctness check