ShipStory

Problem:

Startups ship code at a rapid pace, but translating daily engineering progress into public-facing changelogs, newsletters, social media campaigns, and competitive roadmap updates is time-consuming and often gets neglected. Traditional developer tools only generate dry, markdown-based commit histories that fail to engage non-technical audiences or communicate business value.

Solution:

ShipStory is an autonomous, adversarial multi-agent startup growth loop that monitors repository events and turns them into high-fidelity marketing campaigns and deliverables. Powered by the Band SDK for WebSocket-based agent communication, ShipStory orchestrates six specialized Python agents that collaborate, debate, and review assets. An adversarial feedback loop ensures quality: drafts are audited by a product manager agent to grade feature business impact and intercept intellectual property leaks before designs are rendered and hosted.

Experience:

When a developer pushes to GitHub, Devin (the Engineering Agent) analyzes the diffs to draft a value statement. Simultaneously, Marshall (the Research Agent) runs Tavily searches to assess competitor gaps. Priscilla (the Product Manager Agent) audits their findings to verify compliance and feature scores. Gigi (the Marketing Agent) writes channel-specific drafts (Twitter, newsletters, changelogs), which are audited by Priscilla's compliance filter. Once approved, Vinci (the Design Agent) uses the AIML API (Flux 2 Pro) to render visual assets and upload them to Cloudinary. Connie (the Chief of Staff Agent) coordinates the workflow and updates the company milestones. Operators can monitor the entire active pipeline, review detailed agent interaction logs, and view final deliverables on a sleek Next.js visualization dashboard.