How to Build Agents That Write Their Own Tools

Why watch

Demonstrates how to build AWS Strands agents that dynamically create, validate, and load new tools at runtime when encountering tasks outside their original toolset. The tutorial shows a complete implementation of meta tooling where an agent writes a text_similarity tool (using Jaccard and cosine similarity), validates its syntax, loads it into the live registry, and uses it to compute real scores—all within a single conversation. Ideal for developers building autonomous AI agents who want to overcome static tool limitations.