AI Tool-Calling Agent
Built an LLM tool-calling loop with sequential tool execution, structured JSON output, logging, validation, and fallback behavior for failed API/tool calls.
Problem
LLM agents need to call external tools reliably — with predictable outputs when APIs fail or return unexpected data.
Solution
Implemented a sequential tool-calling loop with structured JSON schemas, validation layers, and fallback paths for failed tool/API responses.
What I Owned
Agent loop design, tool orchestration, output validation, logging, and error recovery handling.
Why it matters: Demonstrates the reliability patterns AI Systems roles require — not just prompting, but production-grade agent behavior.