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Practice with AI coaches

Development should not stall between supervisions. With AI Coaching, an RBT can rehearse how they would run a preference assessment, test their understanding of measurement procedures, or a trainee can work through BCBA Test Content Outline items, privately and at their own pace. The time later spent with their supervisor then goes to what practice alone cannot fix.

The Coach Me page, headed Ready to practice?, where a person selects the skills they want to work on and starts a session.
The person picks the skills they want to work on and starts a session on their own.

They open Coach Me from the menu, tick the skills they want under Select Skills to Coach (their own skills under My skills, or All skills), and select Start Coaching. It is one conversation: the AI coach teaches the skill, gives examples, role-plays, and answers questions, while forming a view of where the person stands. It works from your organization’s own skills, playbooks and context, so an RBT practicing 11. Prompting is coached against your description of it, not a generic one.

Each skill can name the AI coach that runs its practice, chosen in the skill’s AI Coach field. Your organization starts with no AI coaches, so create one under AI Coaches in the Manage menu, for example a BCBA persona that knows your treatment model and how you expect session notes to read, then set it on the skills it should coach. A skill with no AI coach is still coached, from the skill itself.

When the person has covered a skill well, the coach offers a short summary and asks whether to save it to their profile. Saved results appear in the AI column on their profile; nothing is recorded unless they choose to save it.

A saved skill observation with its score on a four-step scale, the skill notes, who recorded it and when, and a Delete action.
An AI practice result on the profile. The person keeps the ones that reflect their level and deletes the rest.

The person arrives at supervision having already practiced and assessed themselves, so you spend the session on what is left. Use their AI results as the starting point, then observe the skill with a Client to see whether it holds up in session.

AI practice results do not count toward mastery. For how they sit alongside supervisor scores and self-assessments, see Calculating mastery.