In this session, we’ll embed a context-aware copilot into a Next.js app that actually understands what’s on screen—form values, selections, and route state—and takes safe actions your users approve. We’ll wire a conversational UI to real capabilities via typed tool calls, gate risky actions with consent prompts, and show diffs/undo before anything commits. You’ll see how to pass front-end signals to the model, decide when to chat vs. call tools vs. retrieve content, and recover gracefully when confidence is low. We’ll close with a small template you can reuse in your app (context → decide → act → audit). By the end, you’ll know how to add an R2-D2-style sidekick to your product—helpful, legible, and secure. May the AI be with you.

What you’ll learn

- Capture UI context (forms, selections, route params) safely with a “context bridge.”
- Expose actions as typed tools with consent, diff/undo, and audit logs.
- Route requests (chat → tools/RAG) using simple confidence gates.
- Generate in-page recommendations tied to the user’s current task.

Who it’s for:
Web/Next.js engineers; basic React + LLM API familiarity.