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How it works

Connect a source.
Collect your data.

collects and organizes the work you connect, without AI.
Now it’s up to you on what happens next.

01

Choose what to capture.

Start with one source. Add more when you need them.

FolderConnect a folder of files or imported conversations.
Terminal / APIAdd collection to a workflow you configure.
AI connectionConnect a supported AI tool through MCP.

A connection covers the source or workflow you configure. Installing through a terminal does not, by itself, capture your entire device.

02

Turn daily work into data you can use.

collects information from your connected sources and organizes it into records. Together, those records give you a dataset drawn from your actual work.

SearchAnalyzeAuditExport

Each one can be exported as JSON for your tools, or as a readable report for people.

03

See the work. Review the AI use.

Understand daily activity.

With activity collection configured, use your data to analyze workflows, time spent, and repeated work. Take it into your own reporting or transformation tools.

Audit your AI use.

For a supported AI connection, see what was shared with AI and what it created. Find related records and export them for review.

04

Put your data to work.

You now have a detailed record of how your company runs. Use it to keep work aligned, see what is and isn’t working, and find efficiencies.

Download data for your dashboards, internal products, or analysis.

05

Send less unnecessary data. Spend less on AI inputs.

Connect your AI tool to . When you ask AI a question, it sends the question to . searches your records without using AI, pulls the ones that matter, and passes only those back.

AI reviews a handful of records instead of searching through all of your files. Less to read means less compute and fewer tokens.

Actual savings depend on your workflow and AI provider.

Start with
one source.

Find the right setup