01
Guide
What is an AI Product Interface?
A plain-language guide to the product tools, permissions, confirmations, and host-specific work behind a useful AI connection.
Open the pageInsights / Product decisions
BUILD THE RIGHT INTERFACE FIRST
Clear product choices matter more than the number of AI hosts in the roadmap.
↓02
Research notes
Use named sources. Keep claims narrow.
Use official platform documentation and named market research. A directional signal is not a promise of customer demand.
Open the pageCollection / insights
Read the decisions behind the build.
These articles explain the product boundary, the host-specific work, and the operating-model choice. Source links are attached inside each article.
03Guide01
What is an AI Product Interface?
A plain-language guide to tools, permissions, confirmations, and host-specific work.
Open the page↗ChatGPT / MCP02Three decisions before you build
Pick the user job, retain the product boundary, and plan for host-specific release work.
Open the page↗B2C / Enterprise03Different apps need different promises
Compare Prostir Build’s B2C product role with a private, governed enterprise workflow.
Open the page↗Evidence / Primary sources
OpenAI · Apps in ChatGPT
Primary product announcement for apps and the Apps SDK in ChatGPT.
OpenAI · Apps SDK
Official guide to MCP servers, tools, authentication, and UI for ChatGPT apps.
Model Context Protocol · tools specification
Protocol reference for named, discoverable tools and their input and output contracts.
AI / Second opinion
Ask your AI first.
Use this prepared question to assess where an AI Product Interface could remove friction from your product.
“I run a software product. Help me identify one high-value workflow customers could complete through an AI Product Interface. Ask me about the product, the user, the action, required data, permissions, and the safest small first release.”
The prompt is copied as a backup. Some AI hosts may ask you to paste it after sign-in.
FAQ04
Questions, answered.
Is this only an MCP server?
No. The MCP layer is one part. We also scope the product actions, permissions, host-specific behavior, UI, testing, and release path.
Do we need to rebuild our product?
Usually no. The interface sits in front of approved capabilities in your existing product. We start with a narrow workflow and expand from evidence.
Will it work in ChatGPT, Claude, and Gemini?
The shared architecture can support all three. Each host still has its own UI, authentication, approval, and publishing rules, so we verify them separately.
How do you keep actions safe?
We define explicit tools, validate inputs, keep user approval visible, and preserve the product's existing authorization rules.