BAML by Example Build a Self-Improving Agent

Name: BAML by Example: Build a Self-Improving Agent
Start: 2026-12-06T13:00:00.000Z
End: 2026-12-07T13:00:00.000Z
Location: Hilton Sydney

Where: Hilton Sydney 488 George Street, 2000, Sydney
Host: Web Directions
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Vaibhav Gupta Speaker

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The format Hands-on, small group Workshop

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Speakers: Vaibhav Gupta (Boundary)

Track: Workshops

Give an agent a goal in plain language. In this hands-on workshop, you’ll use BAML to build an agent that creates the tools it needs on demand, critiques its own failures, rewrites those tools and improves across successive iterations.

You’ll then take the same loop toward production: mining real execution traces for failures and feeding them back into continuous tool improvement. By the end, you’ll have built a working self-improving agent, implemented a feedback loop based on failed runs, and connected that loop to a post-deployment improvement workflow.

You’ll leave with a working repository containing all workshop code under an open-source licence. BAML supports OpenAI, Anthropic, open-source models, Vertex AI and other model providers, so the techniques are not tied to one model.

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