The AI-ready product
What a complete product looks like now.
This is our working view of what a finished, AI-ready product is today. The frontier moves quickly, and so does this page: the parts below are what we'd build into a product if we started it this morning.
The premise
A product is much more than an app.
For years, “the product” meant a screen people clicked through. AI changes the shape of the whole thing. A product that's ready for this moment is usable by people and agents, explains and watches itself, and improves on a loop with a human in charge of what ships.
The eight parts below are how we build that today such that the entire product is a single, coherent entity.
The anatomy
Eight parts of an AI-ready product.
Secured backend & MCP server
Every capability lives behind a clean, authenticated API. The same capabilities are exposed as an MCP server, so agents can drive the product as first-class as any screen can.
Auth, rate limits and audit logging from the first commit.
Frontends on the API
Web and mobile clients that are pure consumers of the API. For web we use Next.js and for mobile we use Expo / React Native.
Other frontends are possible, but the contract is the API.
AI chatbot to the MCP
A conversational surface wired straight to the MCP server, so customers can do almost anything they could do in the UI just by asking. Most functionality lives in both the frontend and the chat.
The chatbot is one way in.
Automated support channel
A knowledge base generated from the code itself and kept in sync as the code changes. A support chatbot answers customer questions from that knowledge base and from the codebase behind it.
Docs are treated as code, so they stay in sync with the product.
Monitoring
Always-on watch for the things that matter — the site going down, errors spiking, and the quieter failure of users going inactive. We're told before you are.
Uptime and silence both count as signals.
Marketing website
A public site that ships as part of development, updated in the same process that builds the product, so what you say always matches what you've shipped.
The story stays in sync with the software.
Reporting layer
A data warehouse and BI layer that answers business-development questions in plain language — in chat and as charts — so you can ask how the business is doing and get an answer (without asking the developers).
Ask in words; get numbers and a chart back.
A backlog that feeds development
A living backlog filled automatically from exceptions, customer requests and usage — and by hand, with ideas you add. It's prioritized, then worked partly by AI, always with a human gate before anything ships.
Auto-filled, human-prioritized, AI-built, human-approved.
We don't always build all eight on day one — but we wire each product so any of them can be switched on without re-architecting.
Build with us
Want a product that's built this way?
Bring us an idea or a product that's missing half of this list. We'll come back with a plan, a fixed price, and a way to start — and build the parts that earn their place.