DoneThat

Description Permissions Security & Compliance

DoneThat is an automatic work tracker with an AI coach. The desktop app (Windows, macOS, Linux) reconstructs your day from screen and app activity, so there are no timers. The app for Slack posts your daily or weekly summary to a channel you choose, so your team sees what got done without anyone writing a status update. Each post lists task titles, time spent, goal progress and mood. Screenshots, window titles and URLs are never posted. You can review and edit each summary before it goes out, and set its visibility yourself.Privacy: screenshots are processed in real time and deleted; apps you exclude are redacted on your device; you can bring your own LLM. The desktop app is open source. EU-based. 14-day free trial.AI disclaimer: summaries are generated by AI and may contain inaccuracies. Review them before sharing.

DoneThat will be able to view:

DoneThat will be able to do:

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General

Privacy & data governance

Data retention policy

We retain information for as long as necessary to provide the Service and fulfill the purposes outlined in this Privacy Policy, unless a longer retention period is required or permitted by law. https://donethat.ai/privacy

Data archiving and removal policy

You can request the deletion of your personal information. We will honor your request unless we are legally required to retain certain information or need it to protect our legal rights. https://donethat.ai/privacy

Data storage policy

Your data is primarily stored in our secure data centers located in the European Union. We use Google Cloud Platform as our primary infrastructure provider, ensuring your data is protected by industry-standard security measures and compliance certifications. For more information about our data storage locations and providers, please visit our Subprocessors page. https://donethat.ai/privacy

Data center location(s)

Belgium

Data hosting details

GCP

Data hosting company

GCP

App/service has sub-processors

yes

Guidelines for sub-processors

https://donethat.ai/subprocessors

App/service uses large language models (LLM)

yes

LLM model(s) used

Google Gemini 3.1 Flash-Lite, Gemini 3.5 Flash-Lite and Gemini 3.5 Flash via Google Cloud Vertex AI. Users can optionally bring their own Gemini or OpenAI-compatible model.

LLM retention settings

Raw activity is processed in real time and deleted, never stored. Vertex AI may briefly cache prompts in memory and never uses them for training. Only derived results (tasks, durations, summaries) are stored until the user deletes them.

LLM data tenancy policy

Google Gemini 3.1 Flash-Lite, Gemini 3.5 Flash-Lite and Gemini 3.5 Flash via Google Cloud Vertex AI. Users can optionally bring their own Gemini or OpenAI-compatible model.

LLM data residency policy

Gemini runs on Google Cloud Vertex AI in our own project. Under Google Cloud terms, prompts and outputs are not used for training or shared. Each request holds only the signed-in user's own activity; no Slack data is sent to the LLM.

Certifications & compliance

Security