AI performance coach
An AI performance coach is distinct from a chatbot that answers questions when prompted. It is meant to notice things on its own, using signals such as sleep, heart rate variability, calendar density and communication timing, and to raise them with the person at a sensible moment.
The coaching itself is usually plain and specific. Rather than general advice about wellbeing, a good AI performance coach will say something like: your recovery is lower than your usual pattern this week and you have back-to-back meetings tomorrow morning, would it help to move one.
Sloane works this way. It reads a person's own 14 to 30 day baseline across wearable, calendar and team-tool metadata, and only speaks up when something changes against that baseline, not against a population average. It never has execution authority. It can suggest moving a meeting; it cannot move it itself.
The term is sometimes used by tools that are closer to guided meditation or content libraries. Those can be valuable, but they are not usually coaching in this sense, because they do not read a person's actual working pattern or adapt to what is currently happening in their week.
Related terms
- Agentic performance intelligence, A category of software that reads consented signals about a person's working pattern and proactively offers coaching, rather than only reporting a dashboard.
- Working capacity, A person's current ability to take on demanding work, assessed against their own recent baseline rather than a fixed standard.
- Personal baseline, The rolling normal range for a specific individual across their signals, used as the point of comparison for deciding whether something has genuinely changed.