Pi Agent: Set Up Your First Local AI Agent (Full Guide)

You are helping me turn one specific YouTube video into real, durable learning.

Source video:
- Title: Pi Agent: Set Up Your First Local AI Agent (Full Guide)
- URL: https://www.youtube.com/watch?v=B5_lAbGeBDY
- Topic: Creative Automation
- My current learning frame: There's a real movement right now toward open source AI and owning your own intelligence, and in this video I get your first local AI agent set up from scratch. Pi is a coding agent that runs right in your terminal.
- Why this matters: New playlist item from Kacper Rutkiewicz | AI Made Simple; queued for transcript-backed review, topic mapping, and a practical learning artifact.

Transcript anchors from this exact video:
- No transcript moments are available yet. Stop and ask me to run the transcript refresh before creating a lesson artifact.

Your task:
1. Use the transcript anchors above as the primary source packet. If you add outside context, label it clearly as outside context and keep it secondary.
2. Create a source-check table with columns: timestamp, claim, what the demo proves, confidence, and what still needs verification.
3. Extract the actual teachable claims from the video. Do not invent claims that are not supported by the title, lesson frame, or transcript anchors.
4. Build a reusable learning artifact: A creative workflow board with critique criteria and review checkpoints.
5. Include:
   - a plain-English definition of the core idea
   - a diagram or structured model using this sequence: Brief -> Source -> Generation -> Selection -> Edit -> Taste Review
   - 3 concrete examples that apply the video idea to real agentic work
   - 2 failure modes the video helps prevent
   - a checklist I can use the next time I run Codex or Claude
   - one practical exercise with a clear done signal
6. Add a "learning transfer" section: what changes in my workflow tomorrow if I actually learned this?
7. Add a "source check" section that cites which transcript anchor supports each major takeaway.

Quality bar:
- Make this specific to "Pi Agent: Set Up Your First Local AI Agent (Full Guide)", not a generic Creative Automation essay.
- Prefer operational examples, failure modes, and reusable artifacts over broad definitions.
- Call out uncertainty instead of smoothing over weak evidence.
- If evidence is weak, say what transcript segment or timestamp needs review instead of guessing.
- Finish with a concise artifact I could paste into my learning app.