Solutions · AI practice

AI-assisted training that scales like software

Role-play works — that's why every call team does it. It just doesn't scale: it consumes your best people's hours, no two sessions are alike, and the trainee who most needs reps is the one most terrified to practice in front of the room.

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The role-play bottleneck

Traditional call practice needs two humans: the trainee and someone playing the customer — usually a senior agent or the trainer, which means practice time is capped by your most expensive people's calendars. A cohort of twenty gets maybe two role-plays each before nesting. Two.

And each of those role-plays is a different exam. One trainer plays the angry caller gently, another goes hard; feedback depends on who happened to be listening and what they happened to notice. When the score varies with the scorer, trainees learn to optimize for the person, not the skill.

Meanwhile the quiet trainee — often the one who'd most benefit from repetition — avoids volunteering, because practicing in front of peers is a performance. So they get the least practice and carry the most risk onto the floor.

Unlimited reps, one consistent judge

In Agent Dojo the customer is an AI persona with a voice, a backstory, and an agenda you authored — impatient, confused, evasive, whatever the campaign demands. Trainees call it from a browser, alone, as many times as they need. The fear of the room disappears; the reps multiply by a hundred.

Every call is scored by Claude against your rubric at temperature zero — the same transcript always earns the same score. Trainees get per-criterion results and written coaching notes the moment they hang up, not next Tuesday when the trainer has time. Trainers can review any call and override any score; the override is recorded alongside the original.

Trainers stop being scarce role-play actors and become what they should be: authors of scenarios and standards, and coaches for the trainees the data says need them.

What you'll use most

AI personas

Author callers with voices, moods, and objectives. Every campaign gets the customers your agents will actually face.

Live voice calls

Real-time conversation in the browser — interruptions, silences, and all. A headset is the only hardware.

Reproducible scoring

Temperature-zero rubric judging with coaching notes on every call. Same performance, same score, every time.

Common questions

How realistic are the AI callers?

Realistic enough that trainees apologize to them. Personas hold their backstory, react to how they're treated, interrupt, and push back. You control the difficulty — a cooperative caller for week one, a hostile one for the final assessment.

Is AI scoring fair — and can trainers overrule it?

Scoring runs at temperature zero against the rubric your trainers wrote, so it's consistent by construction — identical calls score identically. Trainers can override any score; the original and the override are both kept, so calibration stays visible.

What does a practice call cost us?

Practice calls are included in your seat allowance — trainees don't burn a budget by practicing more. That's the point: the trainee who takes twenty reps should be your best outcome, not your biggest bill.

Give your team a dojo.

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