Connect, Write & Extend Any Platform With AI
Every platform you buy is engineered for AI development. Connect it to Claude Code, Cursor, Windsurf or any editor and update, extend and ship any feature — by prompt or by API — from your local machine to your GitHub repo to a live Vercel deployment.
Works With Your AI Editor
These are standard Next.js + TypeScript codebases with AI context baked in — so whatever editor you reach for already understands them.
Every platform ships with a CLAUDE.md and a planning/ reference tree, so Claude Code knows the schema, patterns and gotchas before it writes a line.
Open the repo in Cursor and the included rules + docs give the model full project context for fast, on-pattern edits.
Agentic flows work out of the box — point Windsurf at the codebase and let it plan, edit and verify across files.
Standard Next.js + TypeScript means Copilot and the VS Code ecosystem feel right at home, no special setup.
Several platforms expose a Model Context Protocol server, so you can drive them from any MCP-capable assistant.
The bundled prompt library and documented patterns transfer to any capable model — you are never locked to one tool.
Every Platform Ships Ready For AI Development
The hard part of letting AI work on a codebase is context. We hand it to you — extensive docs, files and markdown instructions in every platform.
A project brief written for AI editors: the rules, the do/don't list, the checkpoint routine and the map of where everything lives.
A planning/reference tree covering architecture, schema maps, API patterns, UI patterns, query patterns and a living gotchas file.
A built-in /docs section — quick-start, API reference and tech guides — that ships and deploys with the platform.
A fully-typed Drizzle/PostgreSQL schema with migration scripts, so the data model is explicit and safe to evolve.
Clean Route Handlers (GET/POST/PUT/DELETE) with consistent conventions, ready to call from anything that speaks HTTP.
Every integration key is documented with example env files, so connecting services is fill-in-the-blank, not guesswork.
From Prompt to Production
Local to repo to Vercel — the same path a professional team uses, driven by a sentence.
Run it locally
Clone the repo, drop in your env keys, and the platform runs on your machine in minutes. Your AI editor reads the bundled docs for instant context.
Build by prompt
Ask in plain English — 'add a CSV export', 'wire up Stripe', 'add a new dashboard tab'. The model edits real files against a known schema and patterns.
Push to your repo
It's your code in your GitHub. Commit, branch, review and collaborate exactly like any other professional codebase.
Auto-deploy to Vercel
Connected to Vercel, every push ships to production automatically — preview builds for branches, production on main.
Extend by Prompt or by API
Talk to your editor in plain English, or call the platform's own REST API from anywhere. Two doors into the same well-structured code.
Open the repo in your AI editor and describe the change. It reads the bundled docs, edits the right files, and follows the existing patterns.
> Add a CSV export button to the leads table and a /api/leads/export route. > Wire up Stripe checkout on the pricing page using STRIPE_SECRET_KEY. > Add a "status" filter to the admin dashboard and persist it in the URL.
Every platform exposes documented REST endpoints. Create, read, update and delete records from your own scripts, tools or other apps.
curl -X POST \
https://your-platform.vercel.app/api/records \
-H "Content-Type: application/json" \
-d '{
"title": "New record",
"status": "published"
}'Connect Everything
Our platforms already speak to the services modern software runs on — and because you own the code, you can add any other API you need.
…and any other service with an API. It's your codebase — extend it however you like.
Own It. Extend It. Ship It.
Buy a production-ready platform and make it yours with the AI tools you already use — no agency, no lock-in, no waiting.