A conversation the student has out loud, with an AI character who pushes back.
A student at a university, or an employee at a company, practices a hard conversation by video before having it for real. The AI character plays the other side and does not accept a vague answer.
- How
- Out loud, by video
- Setting
- A safe place to practice
- Feedback
- Quotes the student's own words
- Where it runs
- Any LTI-compliant LMS
The student speaks, and the AI character answers what was said.
Step 1
The character opens
It has a name, a role, and a position of its own, and it is labeled as AI. It opens with a question.
Step 2
The student answers out loud
They speak through their own microphone and camera, and can interrupt. The conversation is transcribed as it happens.
Step 3
The character pushes back
A vague answer gets a reply such as “That sounds operationally strong, but it’s still fuzzy.” A request meets an objection, such as a tight budget.
Step 4
Feedback follows
It quotes the student's own words, says which techniques they used, and names what is missing.
It is a safe place to practice, and the criteria are yours.
A safe place to practice
Most conversations are one student with an AI character, and some scenes put several students in with the AI characters. The instructor can always see the conversation. The point is a place to try, get it wrong, and try again before it counts.
Several characters at one table
In a multi-character conference, several AI characters sit at one table, each with a position of their own, and the student has to hold a line.
What your instructor or your expert sets
Feedback is written against criteria they wrote or approved, and the student can read those criteria before starting. Where the conversation counts, it can be AI-graded and human-confirmed, fully by people, or fully by AI.
The simulation is the point where the student has to decide.
- Case study
- Video simulation
- Coaching by audio chat
- A second simulation
- Knowledge check
The case sets the situation and the simulation forces a decision. Coaching goes back over the reasoning, and a second scenario tests whether it holds.
What sits next to it.
Scored simulations
When the result of the conversation is scored and recorded.
See scored simulations
Dramatized cases
A dramatized case to watch before the student has the conversation themselves.
See dramatized cases
AI tutors & coaches
Coaching after the conversation, where the AI mentor coach answers a question with a harder one.
See AI tutors
Tell us which conversation is hardest to practice.
Book a demo and bring the situation. We build an example from your own material, at no cost, before you decide.