# AI features Optional, off by default, and bring your own key. verdande works completely without them — this is a convenience on top of a to-do app, not something the app depends on. ## Setting up a provider **Settings → AI**. Four kinds: === "Anthropic" - **Provider**: Anthropic - **Model**: `claude-sonnet-5` - **API key**: from [console.anthropic.com](https://console.anthropic.com) === "OpenAI" - **Provider**: OpenAI - **Model**: `gpt-4o` - **API key**: from platform.openai.com === "Google" - **Provider**: Google - **Model**: `gemini-2.0-flash` - **API key**: from Google AI Studio === "Your own model" Anything speaking the OpenAI-compatible shape — Ollama, vLLM, LM Studio, a company gateway. - **Provider**: Compatible - **Base URL**: `http://localhost:11434/v1` - **Model**: `llama3.1` — whatever you have pulled - **API key**: usually blank This is why the abstraction exists at all: an integration that only spoke to a hosted API would be no use to somebody running their own models. The key is stored on your account and is **never sent back** to the settings page — a page that repopulates a password field is one that will eventually leak it into a screenshot. ## What it can do **Split a task into sub-tasks.** On any task: *Split with AI*. It suggests two to seven concrete actions and creates them as sub-tasks. Written in your language. **A weekly summary.** A short note over what is outstanding: what looks urgent and what appears to be slipping. At most six lines — it is a prompt to think, not a report. ## What is sent Only what the feature needs: for a split, the task's title and notes; for a summary, the titles, dates and priorities of your open tasks. Never comments, attachments, or anything from a project the feature was not invoked on. Nothing is sent to anybody until you configure a provider. With a local model, nothing leaves your machine at all. ## Turning it off Clear the model field. Every AI feature reports itself as unavailable rather than failing, and the rest of the app is unchanged.