Guide / Your product inside ChatGPT
What does “your product inside ChatGPT” actually mean?
It is a controlled way in: an AI chat can look things up and finish approved tasks for a customer, while your product stays in charge.
- Works in
- ChatGPT
- Claude
- Gemini
- Coding agents
Definition01
The connection sits between a conversation and your product's rules.
The AI chat gets a list of named actions with clear inputs. Your product checks who the customer is, applies its own rules, does the work, and hands back a result the person can actually read.
MCP tools specificationUsage02
AI chat is already a large working surface.
OpenAI's 2025 usage study analyzed 1.5 million privacy-preserving ChatGPT conversations and reported 700 million weekly users in mid-2025. The surface has scale. An individual product still has to earn demand.
OpenAI · How people use ChatGPTCustomer signal03
Product discovery is moving into AI, with limits.
Adobe reported that generative AI traffic to US retail sites increased 1,300% year over year during the 2024 holiday season. In its survey of 5,000 US consumers, 7 in 10 respondents who had used generative AI for shopping said it enhanced their experience. Adobe also noted that the user base remained modest.
Adobe · AI shopping researchFit04
Start where the tab-switching is obvious.
A good first workflow joins a few steps your product already has and ends in a result someone can confirm. A broad promise to help with anything, with no specific action behind it, is not a first workflow.
AI chats05
Each AI chat needs its own release plan.
ChatGPT Apps, Claude integrations, Gemini surfaces, and coding agents all move separately. One open MCP core removes most of the duplicate work, but each chat still needs its own check.
OpenAI · MCP Apps compatibilityFirst decision06
Name the customer and the action.
Before picking any technology, write one sentence: this customer can ask for this result, using this data, with this approval. That sentence is the first thing you have to agree on.
Where this comes from.07
Straight from the official OpenAI and Model Context Protocol documentation.
OpenAI · Apps SDK
Official guide to MCP servers, tools, authentication, and UI for ChatGPT apps.
02Model Context Protocol · tools specification
Protocol reference for named, discoverable tools and their input and output contracts.
03OpenAI · Apps in ChatGPT
Primary product announcement for apps and the Apps SDK in ChatGPT.
AI / Second opinion08
Not sure where to start? Ask an AI.
Paste this question into ChatGPT, Claude, or Gemini. It walks you through finding the one task your customers would most want to finish by chatting, instead of clicking through your app.
“I run a software product. Help me identify one high-value workflow my customers could finish inside ChatGPT instead of switching between tabs. Ask me about the product, the user, the action, the data it needs, permissions, and the safest small first release.”
The prompt is copied as a backup. Some AI chats may ask you to paste it after sign-in.
FAQ09
Questions, answered.
Is this just an MCP server?
No. The server is one piece. We do the whole job: we pick the customer task, set who can do what, handle the quirks of each AI chat, make the actions run fast, add monitoring, test it, and ship it.
Do we have to rebuild our product?
Almost never. Our layer sits in front of what your product already does. We start with one small workflow and grow from what works.
Will it work in ChatGPT, Claude, and Gemini?
The same build can serve all three. Each one has its own sign-in, look, approval step, and publishing rules, so we set up and test each one separately.
How do you keep it safe?
Your product decides what is allowed, and we keep that in charge. Every action is spelled out, every input is checked, and the customer sees an approval step before anything happens. Our layer sits beside your product, not inside it.
Where does it run? Does it touch our code?
It runs as a separate service in front of your product. It never goes into your code, and you still own your data.
What does it cost, and how fast?
A first workflow starts at €3,200 and goes live in about 7 days.
Contact us10
Start with one customer task
Send us your product, who uses it, and the action you have in mind. We will tell you the smallest version worth building, and whether it is a €3,200 first workflow or something that needs a closer look first.