Makepodcastsexecutable.
Expert practitioner frameworks extracted from podcasts and interviews — structured, consistent, and ready to invoke from any agent or API.
“The AI features that fail are the ones that remove user agency. The ones that succeed let users program the system itself.”
— Pete Koomen
How it works
Just describe what you need.
Start with seat-based pricing — you're not ready for outcome-based yet.
Your product can't yet prove measurable KPI impact, which means outcome-based pricing won't hold up in a sales conversation. Lock in seat pricing now and build your attribution story over the next two quarters.
Instrument one KPI your AI visibly moves
Run a value audit with your best 3 customers
Revisit pricing model at $500k ARR
01
Describe or pick a framework
02
Fill in your context
03
Get an answer you can use
Why Scriber
The best playbooks never get used.
Podcasts and interviews are full of hard-won expertise — but it stays buried in audio. Re-listening wastes time. Generic AI gives a watered-down answer. We extract it, structure it, and make it runnable.
Less generic. More specific.
Generic AI gives you the textbook version. Scriber stores how the practitioner actually does it — extracted from the source, not reconstructed from training data.
Structured once. Runs forever.
No re-prompting. Each framework has defined inputs and consistent output. Extracted, tested, stored — ready when you are.
For humans and agents equally.
Fill a form or call an API. Your team and your tools run from the same playbook.
Practitioner Workflows
Ripped from real conversations.
No frameworks found.
FAQ
Common questions.
ChatGPT gives you the averaged, textbook version of any framework — reconstructed from every blog post and book that ever mentioned it. Scriber stores how a specific practitioner actually does it, extracted from their own words. The inputs are defined, the output structure is consistent, and you get the same result every time — not a different interpretation depending on how you phrased the prompt.
No. Every framework runs in the browser — pick one, fill in the fields, get your output. If you do write code, there's also a REST API and MCP server so your agents can invoke any framework directly.
Every framework clears four bars: it comes from a named practitioner in an unscripted conversation (podcast, talk, interview), it covers something generic AI can't reliably replicate, it has clearly defined inputs and a consistent output structure, and it's been manually tested until the output is reliably useful. If it doesn't pass all four, it doesn't ship.
Yes — you can browse the full catalog and run frameworks in the browser on the free tier (100 runs/month). Pro unlocks API and MCP access, run history with side-by-side comparison, and higher usage limits.
Yes. Every framework is accessible via REST API and MCP server. Your agent passes context, gets structured JSON back — the same way it would call any tool. Works with Claude, GPT, and any agent that supports HTTP or MCP.
Continuously — but quality over speed. Each framework takes time to extract, structure, and test before it ships. We work through practitioner source material as it comes in rather than batching releases.