What it looks like
Your AI does not know your clients, your decisions, or where anything lives. So you paste. You explain. Every time.
You open a chat and ask what you agreed with a client in June. The AI has no record of that. It cannot see your mail, your documents or your decisions. So you look it up, and paste it in. Tomorrow you open a new chat, and do it again.
The models are good. What they are missing is you.
Why ChatGPT and Claude forget
An AI model answers from what is in front of it: your question, the chat so far, and what the tool puts beside it. It was not made with your company in it. So a new chat starts empty, and a very long chat can lose its beginning.
ChatGPT and Claude each keep a memory now, and it helps. It keeps a little, for one person, in one tool.
That is why it feels like forgetting. Nothing was lost. What you told it was never somewhere the next chat could read. You cannot make ChatGPT remember a company by telling it more often. You give it a place to read from.
What it costs a team
For one person, it is a few minutes here and there. For a team, it costs more than time.
- The same background, typed again. By every person, in every tool, every day.
- Different answers to the same question. Each person gave their AI a different piece of the story.
- Old facts. What someone pasted last month is still in their chat after the decision changed.
- Answers nobody can check. Without a source under it, an answer is one more thing to verify.
- Knowledge that stays with one person. What someone explained to their AI helps nobody else.
The home page puts it in three gaps: why an AI tool on its own falls short. It does not know you, it cannot reach your work, and it does not do the work.
What you can do today, in one tool
Most AI tools give you three ways to paste less. Each of them helps.
- Custom instructions. A few lines the tool reads at the start of every chat: who you are, what you do, how you like your answers. Good for what never changes. Too short for a company, and yours alone.
- A project. A place in one tool with its own chats, files and instructions. Projects in Claude work that way, and other tools have something like it. Good for one piece of work, with the people who use that tool.
- Memory. The tool keeps what it learned about you in earlier chats. Good for your preferences. It is one person's memory, in one tool.
Use them. For one person in one tool they are the quickest fix there is. The table shows where each one stops.
| Pasting it in | Custom instructions | A project in one tool | One source for every tool | |
|---|---|---|---|---|
| Who it helps | You, in this chat | You, in one tool | You, or the people it is shared with, in one tool | Everyone in the organisation |
| Which tools read it | The one you pasted into | The one you set it in | The one it lives in | Every tool that is connected |
| What happens when a fact changes | Every earlier paste is out of date | You rewrite it yourself | Someone replaces the file | It is corrected once, for everyone |
| Can a colleague use it | Only if you send it to them | No | In that tool, where the plan allows sharing | Yes |
| Is there a source under the answer | No | No | Depends on the tool | Yes |
Why a chat's memory does not solve it
AI tools remember more than they used to. A chat keeps a memory. One AI tool's projects hold files and instructions. It helps. But it is one person's memory, in one tool.
Your colleague's AI does not share it. The other tool you use does not read it. When a fact changes, every memory that holds the old one is now wrong, and nobody knows which. Memory makes one person a little faster. It does not give a team the same facts.
What a team needs instead is on AI memory for a whole team. Two of those features, side by side: ChatGPT company knowledge or Claude Projects?
Getting the right background into every chat has a name: context engineering. Anthropic's engineers wrote about it in Effective context engineering for AI agents. Done by hand, by every person, it is a job nobody signed up for.
What changes when every tool reads one source
Connect once, in the AI you already use. Add Dienox as a connector, sign in and pick your organisation. A minute per person, and nothing to install. Nobody has to change tools. The steps per tool are on connect your AI tools to your company knowledge.
Ask the same question again. The answer comes back with what was agreed, when and by whom. With the source under it, so you can check it.
- Every tool reads the same thing. Claude today, ChatGPT tomorrow, Copilot at work.
- It stays current. Meetings, mail and documents land in the same place. Correct it once, and it stays corrected for everyone who asks after you.
- Nothing is pasted in again. What was decided in one chat is there in the next, in any tool.
Dienox calls this universal AI context. Think of it as a company brain, read by everyone's AI.
Where to start
Start with what you explain most often. Who decides what. What was decided. What you sell. How the work runs. A guided interview draws that out in half a day. Or Dienox starts from the documents you already have, and lists the questions it could not answer.
Once your AI knows the organisation, it can take on work as well, within limits you set: agents that cannot do what you did not allow.
Questions people ask
Why does ChatGPT forget what I told it?
ChatGPT answers from what is in front of it: the chat you are in, and the little its memory kept about you. A new chat starts without the last one, and a very long chat can lose its beginning. It does not know your company unless that knowledge is somewhere it can read, every time.
How do I make ChatGPT remember my company?
ChatGPT keeps a memory and custom instructions for one person, and a project can hold files. That helps you in your own chats. To make it know the company, for everyone, keep the company's knowledge in one place outside the tool and connect ChatGPT to it. With Dienox you add a connector, sign in and pick your organisation.
Can I train ChatGPT on my business?
You do not train it. Training is how a model is made, not something you do in a chat. What works is giving the tool a source to read: custom instructions or a project for yourself, or a connector to a knowledge base for a team. With Dienox, ChatGPT reads your knowledge base when a question needs it.
How do I give Claude context about my company?
For yourself, a project in Claude holds files and instructions for a piece of work. For a team, connect Claude to a source outside the tool. With Dienox each person adds a connector, signs in and picks the organisation, and Claude reads the knowledge base when a question needs it. ChatGPT and Copilot read the same source.
Do custom instructions solve it?
For one person, partly. Custom instructions hold a few lines about you that one tool reads at the start of every chat. They do not hold what a company knows, a colleague does not get them, and another AI tool does not read them. When a fact changes, everyone has to rewrite their own.
Does the memory in ChatGPT or Claude solve it for a team?
No. Memory makes one person a little faster, in one tool. A colleague's AI does not share it, and the other tool you use does not read it. When a fact changes, every memory that holds the old one is wrong, and nobody knows which. A team needs the same facts in every tool.
How do we give every AI tool the same context?
Keep the context in one place outside the tools, and connect each tool to it. With Dienox every person adds a connector in the AI tool they already use, signs in and picks the organisation. It takes about a minute per person. Claude, ChatGPT, Copilot and Cursor then read the same knowledge base.
What should we write down first?
Start with what you explain most often: who decides what, what was decided and why, what you sell and to whom, and how the work runs. In Dienox a guided interview draws that out in half a day. Or start from the documents you already have, and Dienox lists the questions it could not answer.