7 AI terms in one map: Agent / RAG / LLM / fine-tuning — 60s each

A 5-beat faceless video outline for “7 AI terms in one map: Agent / RAG / LLM / fine-tuning — 60s each” in the AI tools explained niche, derived from caption timing of 3 reference videos.

Angles

• Open on 'AI is everywhere and moving fast' — the shared hook of all three references
• One term per ~60s block with an everyday example (RAG = look it up before answering)
• Draw the AI ⊃ ML ⊃ deep learning ⊃ generative map once, then hang terms on it

Beat-by-beat structure

1. Hook (0:00–0:30): 'even my toothbrush got an AI update' style moment; promise 7 terms in one map.
2. Map (0:30–1:30): nested circles AI → ML → deep learning → generative AI.
3. Core ×7 (≈60s each): Agent, RAG, LLM, fine-tuning, embeddings/vector DB, reasoning models, ASI — definition → everyday analogy → one misuse.
4. Checklist: which 2 terms matter for everyday users this week.
5. Recap map + series tease. Original narration only.

Method

yt-dlp VTT captions (uploader-provided, not auto/ASR) → timed beat heuristics → editorial topic synthesis. Structure only; write original narration.