AICoaching practice

After Every Session, My Client Gets Something Made for Them

Most coaching resources are generic by design. Reflection prompts, frameworks, homework suggestions: they are written to apply to anyone, which means they land softly on everyone.

I have been moving in a different direction.

After each coaching session, I capture what matters while it is still fresh: what I noticed, where the client seemed to shift, what we agreed they would take forward. These are my notes, unpolished, specific, alive to the particular conversation we just had. I then use a locally-running AI agent, configured around developmental frameworks, to turn those notes into a set of reflection inquiries tailored to that client, that session, that moment in their growth.

What the client receives is not a template. It is a set of questions that reference the actual territory they are working in. The inquiry that opens with their own language. The challenge that meets them at their edge, not two steps behind it.

I used to do this manually. The intention was always there. After a strong session, I wanted every client to leave with something that kept the thinking moving. And I did it, for some sessions, for some clients. But not consistently. A full week of sessions, administrative work, preparation for the next round: the bespoke follow-up was the thing that slipped. The clients who got it benefited visibly. The ones who did not were left to hold the session on their own.

For coaches, this is the real shift. The limiting factor was never the quality of the thinking. It was the time to translate that thinking into something usable, for every client, after every session. AI removes that constraint without removing the quality. The observations still come from the coaching conversation. The developmental framing still comes from my own professional formation. What AI provides is the translation layer: taking raw notes and turning them into something a client can sit with, consistently, not just when there is time.

For clients, the experience is different too. A reflection guide that clearly came from your session, that names what you were actually grappling with, invites a different quality of engagement than something pulled from a worksheet. It signals that the work continues after the call ends, and that it continues with you specifically.

This is what I mean by augmented coaching. Not AI replacing the coach’s judgment, but extending its reach, so that what happens in the room does not evaporate when the call ends.

I use a local AI agent for this work to keep client notes off third-party servers. Privacy is not optional in this profession.

Interested in building something like this into your own practice?

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