Narrative LionYou sit down to make a Reel.
You've studied Brendan Kane's hook psychology. You've watched Elise Darma break down her CTA structure. Last week you tested a hook that tripled your engagement. But turning all of that into today's script? That's a different problem.
I looked at the existing tools. NotebookLM is great at long transcripts; toss in a podcast and the summary is solid. But short-form lives in the visuals, not the words, and it can't see any of that. It's a general-purpose research tool: no shot-by-shot breakdown, no formula cards, no workflow from research to draft. It helps you read things, not create from what you've read.
You could use an AI agent (Claude Code) with video scrapers, write skills, figure out how to make AI actually see the video, and build the whole system yourself. With enough time, it works. But you're building tools, not creating.
The best content isn't generated from nothing. It's built on what you've accumulated: creators you trust, frameworks you've validated, formulas you know work. The problem is all of that lives in your head and a dozen different tools. No AI can read any of it.
After many years of building 0-to-1 SaaS products, I decided to build NarrativeLion. Copy a Reel link, paste it in. A few seconds later you're looking at a shot-by-shot breakdown: what psychological mechanism the hook uses, how the pacing builds urgency. Paste a YouTube podcast link and an hour of methodology becomes one knowledge card. Your proven formulas go into a collection. When you create, pin your collection and notes to the AI. It reads everything you've studied and gives you a draft where every line traces back to a source.
The value compounds. Imagine watching 50 interviews. Each one had a moment that connected with your experience, challenged something you believed, or sparked an idea you wanted to explore later. If those moments stay scattered, you have 50 summaries. When they can be searched and connected, you have the outline of your next content series.
A content series is just one example. Everything you study becomes part of one Playbook, and that Playbook can just as easily support a research question, a short-form script, a podcast draft, or a storyboard. Those outputs aren't separate products. They're different ways to apply the same accumulated knowledge.
I'm building NarrativeLion right now, and I use it every day to make my own content.
The AI isn't guessing. Everything you've studied is finally usable.