Past Lantr student project · Hosted demo · Export-only

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.

Every draft points back to your source materialEditorial checks cover FTC disclosures and platform rulesYou review, export, and publish each post yourself
postpilot.lantr.site
Library · atom #14

“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.”

from “podcast-transcript-march.txt”
storyinjury-comebackvulnerability
Draft · LinkedIn · cites atom #14

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…

  • Platform limit — 3,000 chars
  • No banned phrases
  • Atom citation resolves
  • Sponsored — FTC disclosure added
ApproveExport

You post it. You own it.

The student’s finished workspace, with publishing left to the creator.

What it does

A content workflow built around your own material

Brand book
Brand book · v12today

Voice: direct, story-first. Positioning: recovery training × kept promises.

v11 · last weekrestore
v10 · Mar 2restore

A brand book with history

Your voice, recurring stories, and positioning live in one document. Every change is saved, and you can restore an earlier version at any time.

Source library

“It had taken 14 months to keep a promise I made to myself.”

atom #14 · from “podcast-transcript-march.txt”
storyinjury-comebackvulnerability

Every draft cites the atoms it used.

Source material you can trace

Upload transcripts, notes, and old posts. PostPilot turns them into tagged excerpts and links every draft back to the material it used.

Editorial checks
  • Platform limit — 3,000 chars
  • No banned phrases
  • Atom citation resolves
  • No near-duplicates
  • Sponsored — FTC disclosure added

Regular software runs the rules before you see the draft.

Editorial checks before review

Before a draft reaches you, regular software checks FTC disclosure requirements, platform limits, banned phrases, and possible duplicates.

Topic signals
“Deload weeks” discussion risingReddit
“Comeback training” searches upGoogle Trends
New thread in rehab-coach circlesBluesky

Public signals suggest timing; the content still comes from your material.

Fresh topics from your niche

Public signals from Bluesky, Reddit, Google News, and Google Trends help surface timely ideas that suit your subject and audience.

Performance review
Comeback story postLinkedInTop engagement
Checklist postXAverage
Suggestion: story-first posts perform best — plan more. Accepting saves it to the brand book.

Regular performance reviews

PostPilot reviews the results you log and suggests adjustments. When you accept one, it is saved in the brand book for future drafts.

Scheduled runs
Weekly topic researchMon · 7:00
Series draftingWed · 7:00
3 drafts ready for review

Drafts ready when you return

Schedule research and drafting ahead of time. New drafts appear in the queue for you to review when the run is finished.

How it works

Give it context, then shape what it writes.

1

Open your private demo

A private creator workspace opens instantly with sample source material, ideas, and drafts.

2

Share your voice and material

Add your background, recurring stories, and source files. PostPilot prepares a brand book for you to review.

3

It researches and drafts

Ideas link back to your source excerpts, and each draft passes the editorial checks before it reaches your queue.

4

You approve and export

Publish the post yourself, then log the result. That feedback helps PostPilot make the next set of drafts more useful.

How the student built it

The student built the workflow in stages.

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
Next.jsTailwindFastAPILangChainDeepSeekBluesky APIGoogle News RSSSupabaseRailwayVercel
The student's direction

The student began with a problem creators know well.

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.

Marketing & Communications

Brand strategy, positioning, and the editorial pipeline become parts of a working product.

Business & Entrepreneurship

Strategy, publishing habits, and recorded results come together in one creator workflow.

Computer Science & AI

The project covers context design, source retrieval, and a rules engine that checks AI-written drafts.

Try turning your source material into a draft.

No signup. Your drafts stay private and clear automatically after 24 hours.