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Partnering with AI Without Losing Your Soul

  • Writer: Karrie Stafford
    Karrie Stafford
  • Apr 3
  • 5 min read

Updated: Apr 12

For as long as therapists have practiced, the field has wrestled with a quietly uncomfortable question: how does a clinician actually get better?


Not better at knowing theory. Not better at remembering interventions. Better at the thing that actually makes therapy work — the quality of presence, the precision of attunement, the capacity to stay with a person in the dark without rushing them toward the light.


This question has generated some of the most important thinking in our field. And standing at this particular moment in history — when artificial intelligence is reshaping what it means to know, to learn, and to be human — I find myself returning to it in a new way.


The tradition we inherit


The modern story of therapist development begins with Donald Schön, whose 1983 concept of the reflective practitioner gave us a language for learning from experience rather than just from instruction. Schön understood something essential: that professional expertise is not simply applied knowledge. It is knowledge in action, continuously revised through reflection on what actually happens in the room.


Graham Gibbs built on this with a structured model that gave clinicians a practical framework for post-session reflection. These models became foundational to training programs across the health professions.


More recently, Tony Rousmaniere's work on deliberate practice has reshaped how the field thinks about skill development. Drawing on expertise research from music, sport, and medicine, Rousmaniere demonstrated that psychotherapists who engage in structured, feedback-informed practice consistently achieve better client outcomes than those who simply accumulate experience. Experience alone does not make therapists better. Deliberate attention to performance does.


Shari Geller and Leslie Greenberg gave us the first formal model of therapeutic presence — the idea that the therapist's quality of being in the room is itself a clinical variable, not merely a backdrop to technique. And Peter Fonagy's work on mentalization gave us a way to understand how the capacity to hold one's own and others' mental states in mind underlies both psychological health and clinical effectiveness.


These models represent decades of careful, rigorous thinking. They are the foundation I stand on.


A question I keep returning to


Standing inside clinical practice — in the actual room, with an actual person — something essential remains difficult to name. It lives in the space between knowing a technique and knowing when to use it. Between following a protocol and feeling, in the body, that this is the moment to set the protocol aside.


Between empathy as a concept and attunement as a lived, somatic event.

Geller and Greenberg named it as presence. Rousmaniere called it inner skills. Fonagy theorized its cognitive architecture. These are serious and generative contributions. What I find myself wondering — and this is genuinely a question I am sitting with rather than an answer I have arrived at — is whether there is a way to make this territory more visible and more systematically developable for the practicing clinician across the full span of their career.


That wondering is where an idea I am calling CQ — Clinical Intelligence — begins.


What CQ is, at this early stage


CQ is not a finished framework. It is an idea I am actively developing — one that I find genuinely compelling and that I want to think through carefully before making larger claims about it.


The basic premise is this: just as EQ disaggregated emotional intelligence into nameable, developable dimensions, it might be possible to do something similar for the intelligence that lives beneath clinical technique. Not intelligence about technique. Intelligence as presence. Intelligence as attunement. Intelligence as the felt sense of the room, the body's knowing before the mind catches up.


These dimensions have been described individually in the literature — by Geller, by Gendlin, by Fonagy, by Rousmaniere — and I am not proposing to replace or surpass that work. I am wondering what it might look like to bring some of those threads together into a practical, ongoing developmental practice for clinicians — one that takes seriously both the somatic and intuitive dimensions of clinical work and the particular moment we are in with AI.


Where AI enters


Here is what makes this moment feel significant to me. For the first time, clinicians have access to a tireless, non-judgmental reflective partner — one available between sessions, outside of supervision, in the quiet moments when insight often surfaces.


I have been experimenting with using AI in exactly this way: as a structured reflective partner for thinking through clinical encounters, tracking patterns in my own responses, and articulating dimensions of my practice that usually remain implicit. The quality of reflection that becomes possible in this kind of dialogue feels genuinely different to me — more sustained, more precise, and more available than what is possible in periodic supervision or solitary journaling alone.


What I notice in these exchanges is twofold. My own practice becomes more articulate and more conscious. And the process generates something that feels potentially valuable beyond myself — an examined, theorized account of what clinical presence actually involves, from the inside.


I want to be careful not to overclaim this. It is early. I am one clinician with one set of experiences. But I find myself genuinely curious about whether a more intentional, structured version of this practice — developed thoughtfully, shared carefully — might be worth exploring more formally.


An invitation, not a manifesto


I am sharing this at an early stage deliberately. I am more interested in thinking alongside others than in arriving with conclusions.


If you are a clinician who has been exploring how AI intersects with your own reflective practice, I want to hear about your experience. If you are a researcher or developer thinking about what examined clinical experience might contribute to AI development, I am curious what you think. And if you are simply someone sitting with the same questions I am — about presence, about what it means to stay genuinely human in this moment — I am glad you are here.


This is the beginning of something I don't yet fully understand. That feels like exactly the right place to start.


Karrie Stafford is a licensed marriage and family therapist and registered art therapist with a doctorate in art therapy psychology. She works with high-achieving adults navigating ADHD, anxiety, and life transitions via telehealth throughout California, and is developing an ongoing exploration of the intersection between clinical practice and AI.



If any of this resonates — whether you're a clinician, a researcher, a developer, or simply someone who cares about where this is all going — I'd love to hear from you.

 
 
 

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ADHD & Executive Functioning · Anxiety & Perfectionism · Art Therapy · AI Intentionality · Clinician Development

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