Intermediate

Writing the input that makes the output you want the most likely one, and why the job title disappeared.

Deciding what earns a place in a limited context window, and why more context makes answers worse.

Why an agent that can write and run code can do almost anything, and the eight standard ways you extend one.

The mechanical scaffolding around a model that keeps a non-deterministic agent on track, and why the same model scores differently in different harnesses.

Designing the loop that keeps an agent working until a goal is met, and what happens when nobody is left to press enter.

Planned. Its schedule of parts:

• Generative UI: the model producing the interface, not just the text inside it
• Event streaming: sending a run's steps to the front end as they happen
• Server-Sent Events, and why they fit an agent better than a single response does

How people get models to produce what they should not, and the guardrails, guard models and red-teaming tools used to stop them.

Agents that live with you rather than in a repository: lifelong memory, self-written skills, and reachable from the chat apps you already use.