The shape of it
Connect. See. Keep.
Connect
One connector links your workspace. Minutes, not a project. No code, and nothing to install for anyone on the team.
See
Every interaction is recorded and attributed: who did it, when, and what came out. Per person, per project.
Keep
All of it lands in one place the company owns. Searchable by the whole team, and it stays when people leave.
The hard part
Everything looks different. The record cannot.
People say Google Analytics for AI and hear a dashboard. That is the weak version. The reason Google Analytics actually worked is that it normalised activity across wildly different sites into one consistent shape, so whatever you embedded it in, you got the same numbers meaning the same thing. You could compare Tuesday to Thursday, and one site to another, because the measurements agreed.
AI at work is far messier than websites ever were. Different models with different names for the same event. Agents that call other agents. A CRM with AI quietly inside it that reports nothing at all. Left alone, that produces six incompatible logs and no answer to a simple question.
So the work is a normalisation layer: one shape for an interaction, whichever model or agent or embedded tool produced it. Who, when, what went in, what came out, what it was checked against.
That is what makes a number comparable. Without it you have logs. With it you have a measurement.
The machine
Six parts. You never learn any of them.
| No. | Part | What it does | Why it is there |
|---|---|---|---|
| 01 | Memory | It never forgets your business. Not one thing, not ever. | Most AI forgets you the moment you close the tab. |
| 02 | The Board | Four rival AIs have to agree before your app changes. | One can be confidently wrong. Four competitors rarely are. |
| 03 | Blueprints | The plan gets written first, then built to. | A guess breaks under change. A plan does not. |
| 04 | Receipts | Every change signed, dated and explained. | Hand the log to an auditor. It holds. |
| 05 | Self-healing | It notices, it fixes, and it remembers not to do it again. | Nobody has to spot the problem first. |
| 06 | The build line | Your app keeps improving while you sleep. | Nights and weekends. No standup. |
These used to sit on the front page, which was a mistake. They are the answer to how, and nobody asks how until they care about whether. If you never read this table, everything in it still happens.
What we do not swallow
Signal first, not everything.
A lot of audit tooling works by capturing the raw payload: every prompt, every attachment, every word, stored so it can be searched later. That is a simple design and it means your client’s contract and your team’s salary conversation are now in somebody else’s database.
We ingest the signal: who, when, which model, which sources, which tools, what was checked, whether the output was grounded. Sensitive content gets redacted before it lands, and which patterns count as sensitive is yours to set.
Your technical lead can inspect exactly what is stored, whenever they want. There is no hidden capture, and export or delete is always available without a conversation.
Where it runs
Ours, or yours.
On ours
Nothing to set up and nothing to think about. This is how almost everyone starts.
Your own cloud, your own keys
Your account, your region, your provider keys. Same software. When somebody asks where the data lives, the answer is short.
Your own building
In build. We will say it is ready when it is ready, and not before.
Most people never touch this choice. It is here because the people who need it need it on day one, and finding out later that there was no answer is the expensive version.