hiteshbandhu Ship AIEWF 2024 agents
Action playbook from seven AI Engineer / World's Fair talks. Do not summarize talks — pick a workflow and execute it.
Supporting files (read when needed):
- workflows.md — workflows A–G (steps, deliverables, stop conditions)
- source-index.md — src-NNN → talk learnings in ingest-into-skills
Optional: {SKILL_OUTPUT_DIR}/ship-aiewf-2024-agents/
Step 0 — Pick workflow
Use the decision tree below. Open the matching section in workflows.md.
What is the user trying to do?
├─ Enterprise agent on Vertex (governed tools) → A
├─ Embodied/sandbox agent (structured actions) → B
├─ Voice agent (streaming STT/TTS) → C
├─ Agentic commerce / machine APIs → D
├─ Persona-driven agent product → E
├─ Multi-agent internal ops (CrewAI-style) → F
└─ Automation ROI / job atomization → G
Stop summarizing once a workflow is identified — run its checklist.
Install
cp -r skills/ship-aiewf-2024-agents ~/.claude/skills/
cp -r skills/ship-aiewf-2024-agents ~/.cursor/skills/
cp -r skills/ship-aiewf-2024-agents ~/.codex/skills/
From skills-i-use or ingest-into-skills (playlists/agents-aie-world-s-fair-2024/).
Cross-cutting rules
| Rule | Source |
|---|---|
| Validated JSON/tool actions in env loop | [src-002 @ 16:24] |
| Stream audio pipeline for voice | [src-003 @ 5:02] |
| Account setup cost in automation ROI | [src-007 @ 19:42] |
Disputed steps: see source-index.md. Name workflow A–G; save artifacts to ./skill-outputs/ship-aiewf-2024-agents/ when requested; do not auto-commit.
Invocation examples
@ship-aiewf-2024-agents ship governed agent on Vertex
voice agent architecture checklist