How I Built a Self-Verifying AI Agent with DynamoDB and ReAct Reasoning

Built for the #H0Hackathon — Hack the Zero Stack with Vercel v0 and AWS Databases

Most AI pipelines follow a fixed script: input in, output out, nobody checks the work. For the H0 hackathon (Track 2: Monetizable B2B App), I built ChemSpectra Agent — an FTIR spectral analysis system where the AI verifies its own conclusions and self-corrects when evidence conflicts.

The ReAct Loop

Instead of hardcoding which tools to call, the agent uses a ReAct loop with Qwen-3.7-Max function calling. The LLM autonomously selects from 5 tools — identify_material (130K+ reference spectra), explain_peaks, assign_functional_groups, match_library_topk, and search_public_results. A material ID request might trigger two tools; a deformulation request triggers all three analytical tools. The LLM decides, not the developer.

Cross-Validation and Self-Verification