Playbook Coming soon
Start with a voice memo, a page of notes, or a twenty-minute interview. Paragraph shapes it into an argument in your voice, grounded in what you've actually done. Then it drafts the article, the X post, and the LinkedIn post for your review.
This Playbook is in development. It isn't available to run yet, and its scope may change before it launches. See the Changelog Playbook, which runs today.
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Paragraph finds the claim you keep circling back to, leaves out the asides, and builds the piece around your own decisions and numbers.
Opens with the March decision to remove the product tour, and what happened to support volume afterward.
Argues for week-two retention as the metric that matters, with your numbers behind it.
Closes on where guided setup still wins, so the argument has an edge and a limit.
Not a summary of what you said. Paragraph would find the argument, ground it in your experience, and write it three ways for three places.
Set it up once. After that, the drafts are waiting for you.
Give it your perspective. Record a voice memo, paste your notes, or answer a few questions in chat. A messy start is fine.
Read the argument. Paragraph proposes the claim, the evidence from your experience, and the structure before it writes the full draft.
Review the drafts. The article, the X post, and the LinkedIn post open in the editor. Rewrite a line, cut a section, sharpen the take.
Approve it. The article publishes to your site, and the social posts go out when you say so.
The article carries the full case. The X post and the LinkedIn post carry the sharpest part of it, each written for its feed.
X
@maya
Everyone benchmarks onboarding by how fast it is. We removed our product tour in March. Support tickets went down, not up. The number that actually predicted whether a team stayed was week-two retention. What changed when we started measuring that instead:
maya.co/onboarding-metric
Maya Chen · Founder
For two years we optimized onboarding for speed. Shorter tour, fewer steps, faster time to first action. The dashboards looked great and retention didn't move. In March we removed the product tour entirely. Support tickets fell. The metric that turned out to matter was whether a team was still active in week two. I wrote up what we changed, what we'd keep, and where guided setup still wins for larger teams:
maya.co/onboarding-metric
The ideas you already share in meetings and calls become a steady stream of published work, without a writing day you never get to.
Every piece is built from your decisions and your numbers. It reads like someone who has done the work, not someone who has read about it.
Articles live on your domain with your subscribers and your RSS feed. Export them or move them whenever you want.
Paragraph drafts the argument. You decide whether it's one you'd make.
See how approvals workEach one starts from something you already have, drafts the work, and waits for your approval.
What people ask before they plan around the Thought leadership Playbook.
Thought leadership is in development and isn't available to run yet. Its scope may change before it launches. In the meantime, Paragraph's agent can already draft posts and social versions from notes you give it in chat. The Changelog Playbook is live today.
Anything that captures your thinking: a voice memo, a call transcript, a page of notes, or a few answers to questions in chat. You don't need an outline or a finished argument.
That's the point of it. Paragraph learns how you write from everything you've published and how you talk from what you give it. You edit every draft before it publishes, and each edit teaches it more about your voice.
It's designed to build the argument from what you gave it and what you've published. Where a claim needs your number or your source, it marks the spot. You fill the gap, not the model.
No. Every draft waits for your approval before it publishes to your site or posts to a social account. That's how every Playbook works.
On your Paragraph site, at your own domain. Readers can subscribe by email or RSS, and every article is built to be found in search and by AI assistants.
Paragraph's agent already drafts, distributes, and waits for your approval. Start for free, and you'll see this Playbook in your catalog when it's ready.