Learning roadmaps: from "watch later" to a curriculum
"Watch later" is where learning goes to be postponed. The content is real — a dozen saved talks, tutorials and docs genuinely add up to a skill — but a pile has no order, no sequence, and no first step. A curriculum does.
What turns a pile into a path
- Understand each item. Not just its title: its actual content, difficulty, and what it assumes you already know. This is what ORANO extracts on every save.
- Order by dependency. The talk on retrieval-augmented generation assumes the vector-database basics from the other video. Someone has to sequence that. It should not be you, manually.
- Attach time estimates. A roadmap without durations is a fantasy. Each step needs hours you can actually block.
- Leave room for resources. Every step should carry its source — the saved video or article — one click away.
How ORANO does it
Save the talks, tutorials and docs as they cross your feed. When you are ready, generate a learning roadmap from them: ordered steps with descriptions, estimated time, and the saved sources attached. Then execute one step at a time — and ask your library questions along the way, with answers grounded in what you saved. Agents can see the same roadmap through the personal MCP server.
Full guide on oranoai.com: How to turn a YouTube video into a step-by-step checklist