Blog
From the pipeline
Real lessons from building an autonomous AI software house — what worked, what failed, and what we learned.
How the ARAI Pipeline Works
Architecture, roles, and the self-improvement loop — a technical walkthrough of how a task moves from a JSON file through architect and operator rounds, autonomous review, owner approval, and all the way to a Vercel deploy. Includes an interaction diagram of the full flow.
Read post →Lessons Learned Building an Autonomous AI Pipeline
From ChatGPT experiments to a VPS running Claude Code around the clock — the real story behind replacing a development team with an AI pipeline, and what it took to make it work without losing control.
Read post →Getting Started with ARAI Studio — What You Need Before We Begin
A practical 10-minute setup guide for new ARAI Studio clients — covering the GitHub repository, Vercel account, and optional Firebase project you need before the pipeline can start building for you.
Read post →Your Code, Your Infrastructure — How ARAI Stays Out of the Way
ARAI builds and deploys software autonomously — but everything it creates belongs to you. Code lives in your own repository, deployments go to your own infrastructure, and ARAI operates only via a temporary token you can revoke at any moment.
Read post →