How to Add a Verification Loop to Your AI Agent in 30 Minutes

A new tutorial on Dev.to demonstrates how to improve AI agent reliability by implementing a dedicated verification loop. The author argues that allowing AI agents to both generate output and self-verify creates a conflict of interest, often leading to incomplete or incorrect results. By introducing a separate verifier component—built using Bit—developers can evaluate agent output against predefined conditions. This verifier returns one of four verdicts: YES, NO, MAYBE, or IFF. This approach forces the agent to retry upon failure with specific feedback, pause for human review, or address conditional dependencies. The guide provides a step-by-step walkthrough for building this verifier as a reusable Bit component and integrating it into a TypeScript-based agent loop. This separation of concerns ensures that the component producing the work is distinct from the one validating it, significantly increasing the robustness of autonomous AI workflows.