Give PostPilot your interviews, notes, and past work. It finds the ideas already in your material, drafts in your voice, and shows which sources it used. You edit, export, and publish when the post feels ready.
“The day I benched 315 after my back injury, I cried in my car. It had taken 14 months to keep a promise I made to myself.”
Fourteen months ago I couldn’t tie my shoes without wincing. Yesterday I benched 315. I got there by keeping the same small promise every day. Here’s the rehab protocol I followed…
You post it. You own it.
The student’s finished workspace, with publishing left to the creator.
Voice: direct, story-first. Positioning: recovery training × kept promises.
Your voice, recurring stories, and positioning live in one document. Every change is saved, and you can restore an earlier version at any time.
“It had taken 14 months to keep a promise I made to myself.”
Every draft cites the atoms it used.
Upload transcripts, notes, and old posts. PostPilot turns them into tagged excerpts and links every draft back to the material it used.
Regular software runs the rules before you see the draft.
Before a draft reaches you, regular software checks FTC disclosure requirements, platform limits, banned phrases, and possible duplicates.
Public signals suggest timing; the content still comes from your material.
Public signals from Bluesky, Reddit, Google News, and Google Trends help surface timely ideas that suit your subject and audience.
PostPilot reviews the results you log and suggests adjustments. When you accept one, it is saved in the brand book for future drafts.
Schedule research and drafting ahead of time. New drafts appear in the queue for you to review when the run is finished.
Voice: direct, story-first. Positioning: recovery training × kept promises.
“It had taken 14 months to keep a promise I made to myself.”
Every draft cites the atoms it used.
Regular software runs the rules before you see the draft.
Public signals suggest timing; the content still comes from your material.
Your voice, recurring stories, and positioning live in one document. Every change is saved, and you can restore an earlier version at any time.
Upload transcripts, notes, and old posts. PostPilot turns them into tagged excerpts and links every draft back to the material it used.
Before a draft reaches you, regular software checks FTC disclosure requirements, platform limits, banned phrases, and possible duplicates.
Public signals from Bluesky, Reddit, Google News, and Google Trends help surface timely ideas that suit your subject and audience.
PostPilot reviews the results you log and suggests adjustments. When you accept one, it is saved in the brand book for future drafts.
Schedule research and drafting ahead of time. New drafts appear in the queue for you to review when the run is finished.
A private creator workspace opens instantly with sample source material, ideas, and drafts.
Add your background, recurring stories, and source files. PostPilot prepares a brand book for you to review.
Ideas link back to your source excerpts, and each draft passes the editorial checks before it reaches your queue.
Publish the post yourself, then log the result. That feedback helps PostPilot make the next set of drafts more useful.
A past Lantr student began with a small library for notes and interviews. Drafting, editorial checks, user accounts, memory, research tools, and scheduled campaigns were added as the workflow took shape. Lantr now hosts the finished project for visitors to explore.
Read the source on GitHub →The student wanted AI to help with the repetitive parts of content work while preserving the creator’s voice and source material. That question shaped the whole product.
Brand strategy, positioning, and the editorial pipeline become parts of a working product.
Strategy, publishing habits, and recorded results come together in one creator workflow.
The project covers context design, source retrieval, and a rules engine that checks AI-written drafts.
No signup. Your drafts stay private and clear automatically after 24 hours.