How AI Agents Actually Work
What's actually happening under the hood when an AI agent plans, acts, and responds — no black-box explanations.
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The model's role: reading context and choosing the next step
- 2Tool calling: how the model requests an action and receives the result
- 3The loop: observe, decide, act, repeat
- 4Memory: what the agent remembers within and across tasks
- 5Planning and why agents sometimes go off track
- 6Tracing a real agent run step by step
Who it's for
- • Developers and technical learners
- • Non-developers who want to understand agents properly
You'd leave with
- A step-by-step understanding of agent internals
- The ability to read and interpret an agent trace
- Insight into why agents fail
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