Learn Summit 2023 Talks

Learn Summit 2023 talks

Action playbook from twenty-two AI Engineer Summit 2023 talks. Do not summarize talks — pick a workflow and execute it.

Supporting files:

• [workflows.md](workflows.md) — workflows A–N
• [source-index.md](source-index.md) — src-NNN → learnings

Optional deliverables: {SKILL_OUTPUT_DIR}/learn-summit-2023-talks/

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Step 0 — Pick workflow

What is the user trying to do?
├─ Define AI engineering career / 1000x leverage           → A  [src-018, src-002, src-022]
├─ Production RAG + vectors + wild deployments             → B  [src-006, src-015, src-017]
├─ Agents + context-aware reasoning                      → C  [src-019, src-005]
├─ Domain fine-tuning / adaptation                       → D  [src-009]
├─ Local / private LLM deployment                        → E  [src-010]
├─ Viral AI product / growth lessons                     → F  [src-001, src-011, src-003]
├─ LLM system building blocks (product)                  → G  [src-004]
├─ Interfaces & abstraction ladder                     → H  [src-008, src-021]
├─ Type-safe LLM I/O (Pydantic / TypeChat)               → I  [src-014, src-013]
├─ Data platform AI pivot                                → J  [src-020]
├─ Multimodal APIs (see/hear/speak/draw)                 → K  [src-016]
├─ Reactive / streaming AI apps                          → L  [src-007]
├─ Open questions & yearly retrospectives                → M  [src-012]
└─ Move fast without breaking prod                       → N  [src-011]

Open [workflows.md](workflows.md) for steps and deliverables.

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Install

cp -r skills/learn-summit-2023-talks ~/.claude/skills/
cp -r skills/learn-summit-2023-talks ~/.cursor/skills/

Source: playlists/ai-engineer-summit-2023-talks/.

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Cross-cutting rules

| Rule | Source | |------|--------| | AI engineering ≠ prompting; systems wrap non-AGI models | [src-018 @ 5:53] | | Naive RAG fails in production — plan retrieval + eval | [src-006 @ 2:58] | | Ask: impossible new builds vs faster builds (Willison) | [src-012 @ 1:01] | | Structured outputs reduce integration risk | [src-014], [src-013] | | Agents need product-grade interfaces, not chat-only | [src-019], [src-021] |

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Output to user

1. Name workflow (A–N) and artifact
2. Save under ./skill-outputs/learn-summit-2023-talks/ when requested

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Invocation examples

@learn-summit-2023-talks production RAG checklist from Jerry Liu
framework for open questions in our AI roadmap
pydantic vs typechat for our API layer

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: hiteshbandhu
• Source: hiteshbandhu/skills-i-use
• License: MIT

Install and usage instructions live in the source repository linked above.