What problem does it solve?
Helps users create grounded, actionable LinkedIn posts that reliably match Babajide Okusanya's direct, observational voice while avoiding hype and unverifiable claims. It removes the uncertainty of tone, enforces fact-checking, and guarantees the user retains explicit control over publishing.
Core Features & Use Cases
- Voice-matched drafting: Produces 150–300 word posts written in Babajide's tone with short declarative sentences, line breaks between thoughts, and minimal superlatives.
- Fact-checking and citations: Runs web searches and cross-references official docs for product or statistic claims, flagging unverifiable assertions for the author to decide.
- Review, save, and publish workflow: Presents a draft with fact-check notes for approval, can save approved drafts as dated Markdown files, and only publishes after explicit user consent via link-pulse.
- Comment response helper: Optionally drafts replies to comments that reference specific commenter points and preserve Babajide's voice.
- Use case: Announcing a tooling workflow, recapping an event, or sharing a product insight where accuracy and consistent author voice matter.
Quick Start
Draft a 200-word LinkedIn post in Babajide's voice about a concrete outcome or observation on using Claude Code, include fact-check notes and a suggested YYYY-MM-DD slug for saving.
