hiteshbandhu Navigate AIEWF 2024 keynotes
Action playbook from fifteen World's Fair 2024 keynotes. Do not summarize talks — pick a workflow theme and execute it.
Supporting files:
- workflows.md
- source-index.md
Optional deliverables: ./skill-outputs/navigate-aiewf-2024-keynotes/
Step 0 — Pick workflow theme
What is the user trying to do?
├─ Team operating model, evals, data literacy → product-discipline
├─ Copilots in dev platforms, assistant eval loops → copilots-platforms
├─ Multimodal / Anthropic / knowledge assistants → models-vendors
├─ Local CPU inference, edge-friendly distribution → local-inference
├─ Live data for agents, accidental platformization → data-platforms
├─ Enterprise agents, Hypermode-style backends → agents-enterprise
└─ Strategy, education, hardware (MAX, decoder) → strategy-craft
Open the matching section in workflows.md.
Install
cp -r skills/navigate-aiewf-2024-keynotes ~/.claude/skills/
cp -r skills/navigate-aiewf-2024-keynotes ~/.cursor/skills/
cp -r skills/navigate-aiewf-2024-keynotes ~/.codex/skills/
cp -r skills/navigate-aiewf-2024-keynotes ~/.agents/skills/
Source: ingest-into-skills playlists/keynote-aie-world-s-fair-2024/.
Cross-cutting rules
| Rule | Source |
|---|---|
| Evals + data literacy are core AI engineer skills, not optional | [src-001 @ 0:20:18] |
| Look at production data before scaling agent autonomy | [src-001 @ 0:24:04] |
| Copilots must live in existing dev workflows with telemetry | [src-003 @ 0:10:00] |
| Model churn requires per-vendor eval regression | [src-005 @ 0:22:00] |
| Second-order UX/trust effects matter as much as time saved | [src-009 @ 0:12:00] |
Output to user
- Name theme + deliverables
- Save artifacts under
./skill-outputs/navigate-aiewf-2024-keynotes/when requested - Do not auto-commit
Invocation examples
@navigate-aiewf-2024-keynotes apply lessons-from-a-year eval operating model
Which keynote themes matter for our enterprise agent rollout?
Map Anthropic vs OpenAI multimodal choices from AIEWF keynotes