OpenTacit

OpenTacit

OpenTacit helps you use AI better.

Models can do much more than most people ask of them. That gap between what a model can do and what its users try is called capability overhang. It is growing with the extremely rapid improvements in what models can do.

Capability overhang persists because the best ways to work with AI aren't easily shared. Power users get far more out of the same model—around seven times more, by one measure. The best AI users know what context to hand it, which tools to give it, and which steps suit a particular job.

That knowledge is tacit: known to the most advanced users, but unavailable to everyone else. OpenTacit captures it automatically, updates it when conditions and models change, and shares it right at the moment it is most needed. It watches how you work with your AI tools, determines what works best, and collects it as reusable techniques in a shared playbook. Then it offers those techniques back to you when the work calls for them.

Use OpenTacit on your own and it shows you how you work with models and agents, carries your best techniques across every agent you use, maintains them, and retires the ones you or your models have outgrown.

Share it with colleagues and it does much more, surfacing the best techniques from their collective human intelligence. Over time your OpenTacit playbook describes your business: its people, its processes, and the way they work.

This guide covers OpenTacit day to day: how to set it up, how to work with suggestions in your AI sessions, and how to run the registry that your organization shares.

Where to start

The structure of this guide

Get started

Work in your session

Use the dashboard

Run the registry

Reference

Read this guide anywhere

This guide is part of the registry itself. In the dashboard, click the account button in the top-right corner. Then select User Guide. The same files are in the repository in docs/user-guide/. Thus you can also read them on GitHub or in your editor.