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HuggingFace 101: How to debug AI agents and models

Hosted by Jai Bhagat

Wed, Oct 14, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

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Make Safer AI Decisions
Jai Bhagat and Nicole Mercede
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What you'll learn

Trace the failure path

Map a run from input to tool calls to output so you can see where behavior changed.

Separate model and system issues

Use small checks to distinguish prompt, retrieval, tool, state, and model-capability problems.

Create a repeatable debug loop

Leave with a simple routine for reproducing failures and checking whether a fix actually helped.

Why this topic matters

When AI systems fail, the problem is rarely in just one place. In this lightning lesson, we will follow one agent or model failure through the data, separate prompt issues from tool, retrieval, state, and model-limit issues, and decide what to measure next.

You'll learn from

Jai Bhagat

Director of AI Education at A+ Active

Teaching is the love of my life. I've taught meditation classes at Madison Square Garden, taught systems at Parsons School of Design and now I livestream myself learning to write kernels and advanced programming for GPUs and AI workloads.

Jai believes that with love and imagination that anything is possible.

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