For R.A.D.D. · take it and iterate

The content machine. Yours to take.

The actual pipeline behind the talk: one AI writer that sources a topic, checks every claim against a primary source, writes it in a real voice, critiques itself, and learns from your edits. A human approves before anything ships. Below is the sanitized foundation, free, no email.

A quiet keep broadcasting a signal that fans out into a network of posts

Build the hard part once. Reuse it everywhere.

Source Interview Draft Fact-check Council Learn Ship

Verify, voice, judge, and learn are built once. Everything else is a thin adapter. The kit gives you each step as a prompt you can run today, plus the poster variant (news → verify → draft → review → publish) and the quality rules that keep it from sounding like a robot.

Grab the whole kit.

Download the full kit (.zip) →

Or grab the pieces individually:

Built with this, shipped this week.

The pipeline drove +291% LinkedIn impressions in a week (per LinkedIn analytics, Jul 17–23) and got the first-mover take out on a same-day model release. Same-day, verified, in-voice. See the blog and what a fractional AI officer sets up for where this goes at scale.

FAQ

Straight answers.

Is this really free, no email?
Yes. Download the files or the zip directly, no signup. It's the sanitized foundation of the system I demoed at R.A.D.D. Take it and make it yours.
What do I need to run it?
Any capable LLM. Local models (via Ollama) are optional but keep drafting and scoring off the cloud. The prompts are model-agnostic starting points, not locked to one vendor.
What's intentionally left out?
My personal brand voice, client names, and my exact scoring weights. Those are the parts you should replace with your own. Everything you need to build the pipeline is here.

quiet growth.

Built by Josh Cruz. If you build something with it, I'd genuinely love to see it.