AI Project Bootstrapper
Spin up production-grade, AI-ready repositories in minutes — auth, billing, CI, observability, and agent-context files pre-wired.
“Production-grade, AI-agent-ready project scaffolds — generated, not hand-wired every time.”
Role in the platform
The on-ramp. New projects start agent-ready and pre-connected to the platform; best as a ContextOS feature rather than a standalone company.
Overview
A generator (CLI + web) that produces complete, production-ready project scaffolds — not just create-next-app, but the full opinionated stack the family uses, AI-agent-ready out of the box.
Optionally AI-customized from a natural-language brief.
The problem
Starting a production AI app means days of boilerplate every time; existing scaffolders (create-*, v0, bolt) are either too basic or non-production.
Honest take: scaffolding is commoditized, so its real value is internal reuse + a ContextOS feature + a funnel/brand asset — not a standalone company.
What it is
Turn a spec (template + feature toggles: auth/billing/rag/mcp/docker/ci) into a complete, AI-agent-ready project: code plus CLAUDE.md / AGENTS.md / mcp.json plus CI and Docker.
Then push to GitHub or download — a project that starts right instead of accruing the same setup debt.
Key features
Tech stack
Why it's different
- Production-grade AND AI-agent-ready out of the box, versus basic or non-production scaffolders.
- Standardizes a whole org's 'golden path' for starting projects.
- Falls out of building the family's own repos — proven, not theoretical.