01
SaaS
Find an account and prepare the next step.
Retrieve the right record, review recent activity, and request one approved update without rebuilding context across tabs.
Open the pageExamples / Real workflows
WHAT COULD CUSTOMERS DO?
Start with a short workflow that ends in a result a person can check.
↓02
Commerce
Check an order and resolve a service request.
Combine product, order, and policy context, then propose or perform the action the existing permissions allow.
Open the page03
Operations
Turn one request into coordinated actions.
A request can call several narrow tools, return progress, and stop for confirmation where a business rule requires it.
Open the page04
Support
Summarize the case before someone replies.
Bring account activity, prior messages, and an approved resolution path into one working view before a support action is taken.
Open the page05
Publishing
Prepare a review without publishing by accident.
Find the draft, collect the required context, and stop at a visible approval point before any public change is made.
Open the page06
Internal tools
Give a team one checked path through routine work.
Expose the small set of internal actions a team needs, then preserve the product record and existing access rules.
Open the pageCollection / examples
Browse workflow examples.
Start with three reference workflows. Each opens as a full article with the user job, product boundary, confirmation point, and result to inspect.
03SaaS01
Customer follow-up in ChatGPT
Find one account, propose the next step, and confirm a product-owned update.
Open the page↗Commerce02Order support in chat
Read the order and policy before a refund, replacement, or handoff is proposed.
Open the page↗Internal knowledge03A private knowledge helper
Answer from the documents a person may access, with sources they can check.
Open the page↗Evidence / Primary sources
Model Context Protocol · tools specification
Protocol reference for named, discoverable tools and their input and output contracts.
OpenAI · Apps SDK
Official guide to MCP servers, tools, authentication, and UI for ChatGPT apps.
Model Context Protocol · authorization
Protocol reference for authorization responsibilities at the connection boundary.
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.