AI policy
Vibe Growth is built to be queried by AI clients, so it should be precise about where AI is actually involved. This page describes what runs today, not what is planned.
Last updated 20 September 2026
The short version
- Your data is never used to train any AI model, by us or by a provider acting for us.
- Vibe Growth does not send your data to a language model on its own initiative. The numbers in the app are computed, not generated.
- Data reaches an AI model only when you connect an AI client to your workspace and ask it something.
What is not AI
The figures, comparisons, funnel calculations and anomaly flags in Vibe Growth are produced by deterministic code — explicit rules and SQL against your stored data. There is no model inference behind them.
That is a deliberate choice. An anomaly should be reproducible from its inputs: if the app says spend rose 42% against a seven-day baseline while qualified leads fell, you can check both numbers. A model that merely sounds confident cannot be checked, and would be a poor foundation for a spending decision.
Where AI does come in — the MCP endpoint
Vibe Growth exposes a Model Context Protocol endpoint. You create an access token and paste it into an AI client you have chosen — Claude, Cursor, Codex or another MCP-capable tool. That client can then read your workspace through a fixed set of read-only tools.
When you ask that client a question, the data it requests is sent to whichever AI provider operates it. That transfer happens under your agreement with that provider, not ours. We do not choose the model, see the conversation, or control that provider's retention.
You control this entirely: no token means no AI access, and revoking a token in the app cuts it off immediately.
What the MCP tools can and cannot do
Every tool is read-only. There is no tool that can change a campaign, move a budget, edit a CRM record, or alter anything in your workspace. An AI client connected to Vibe Growth can look; it cannot act.
Tools return data freshness, the date range, the accounts included and any caveats alongside the figures, so an assistant answering from them can tell you when a conclusion rests on stale or partial data.
Training
No customer data is used to train, fine-tune or evaluate any model. We do not train models, and we do not supply your data to anyone who does.
If this changes
Server-side AI features are plausible in future — a written summary of a week's performance, for example. If one is introduced, this page will name the provider, say exactly what is sent, and be updated before the feature is switched on. The commitment that customer data is never used for training is not conditional on that.
Questions
Write to [email protected]. Related: privacy policy and data deletion.