Turn your AI investment into measurable productivity
Companies adopt AI tools but rarely train their people to use them well. TRACE coaches your team to use AI efficiently, and gives you the data to prove the return.
Most prompts fail one of two ways. TRACE fixes both.
Politeness and hedging don't reach the model, they only dilute your signal. Say the thing.
A prompt with no audience can't have a right answer. Name who it's for first.
TRACE applies the prompting principles these models are built for. It won't guess your audience, it makes you name it.
Never stores prompt content
TRACE reads each prompt to coach the habit behind it, then discards the text. It keeps the pattern, not your words.
Individual scores stay private
Each person sees their own score. No one else does, not even their manager.
Team view is aggregate only
Leaders see throughput and adoption by team, never a breakdown by name.
You bought AI. The output didn't move.
The software works. The people using it haven't been shown how. That's the gap between your invoice and your productivity number.
Only 39% of organisations can attribute any bottom-line impact to AI, and most say it's under 5%.
McKinsey, State of AI, 2025The bill keeps climbing
AI seats cost more every year. The invoice is real, but your output curve hasn't moved.
Enterprises will spend close to $270bn a year on AI software by 2027.Gartner, 2026
The problem is the prompt
It isn't the model. Most people use AI like a search bar. Twelve tries to get a usable answer, every task.
Models guess what you leave out, and get it right less than half the time.Carnegie Mellon University, 2025
Training doesn't stick
A two-hour workshop fades in a week. People go back to old habits. Nothing changes in the metrics.
Only 36% of employees feel they've had enough training to use AI well.BCG, AI at Work, 2025
AI literacy is already part of the rules. Since February 2025, the EU AI Act has asked companies using AI to ensure “a sufficient level of AI literacy” among staff, and for most teams a structured way to do that is still taking shape.
EU AI Act, Article 4Three steps. One tool integration.
TRACE sits where your team already prompts, coaches them in the moment, and reports the result to you.
Employees who receive structured coaching use AI regularly at nearly twice the rate of those who don't. The gap isn't access — it's habit formation. TRACE delivers that coaching without the workshop.
BCG, AI at Work, 2025One coaching layer across every tool
No new platform, no migration. TRACE rides along inside Claude, ChatGPT, Copilot, and Gemini as a single layer, so prompt quality stays consistent across the org — not hostage to which tool someone happened to open.
Coaches in the moment, not in a workshop
A two-hour training is forgotten by Friday. TRACE coaches the behaviour in the moment, catching the vague prompt before it's sent and handing back the one thing that's missing. Fix the prompt and you've fixed one task. Coach the habit and the person is measurably better over time: a more capable workforce, not a one-off course.
Proves it in the numbers your board already reads
Finally, a real measurement of AI fluency across your org: prompt quality by team, who needs coaching, whether maturity is climbing. It turns the AI budget you've already spent into measured return, and cuts the rework tax of redoing weak output. Per team, every week.
Around 40% of the time AI saves is lost again to reworking weak or off-target output. Better inputs are where that comes back.
Workday, 2025The product, not a promise.
Three live views of TRACE: the coach inside the chat, one person's score climbing, and the aggregate your managers see.
Interactive: pick a weak prompt, then apply the rewrite to watch the score lift in place.
Two turns. Versus seventeen.
Same task. Same model. Two interactions to the correct output with TRACE coaching the prompt; seventeen without. Tested side by side against Gemini under identical conditions.
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