Use Case

Turn Your Best AI Users Into Everyone's Best Practices

AI adoption is uneven — power users get 3x more done while others don't know where to start. Tokra identifies top performers and surfaces their practices as org-wide coaching.

The challenge

What keeps you up at night

Power users vs. everyone else

A small group of employees produces dramatically more value per token. Most employees use frontier models for simple tasks, structure prompts poorly, and repeat queries unnecessarily.

No mechanism to share best practices

Organizations spend millions on AI subscriptions with no way to measure effectiveness or share what top performers are doing differently.

L&D relies on self-reported surveys

Training investment is directed by subjective assessments rather than actual usage data. Skills gaps go undetected until they become costly.

How Tokra solves it

Your AI governance layer

Power user identification

Token efficiency scoring measures output quality relative to tokens consumed. Identify top performers whose practices should be replicated.

Best practice broadcasting

Surface prompt patterns, model choices, and workflow habits of top performers as Slack nudges, onboarding tips, or email digests.

Proactive waste nudges

Detect low-efficiency usage in real time. Suggest model right-sizing, flag redundant queries, and coach prompt structure improvements.

You used 12,000 tokens to generate a 5-sentence email. A smaller model would do this in 800.

Example Tokra coaching nudge

See Tokra in action

Book a personalized demo to see how Tokra can help your team govern AI usage at the device level.