Executive AI intensive
A multi-session executive AI implementation intensive for decision-makers who want first-hand understanding of what they are being asked to evaluate, prioritize, and implement.
Why now
Best practice in behavior analysis is to teach pivotal behaviors — skills that, once learned, give the learner access to new categories of behavior. A child who learns to imitate can pick up the dozens of behaviors needed to play a schoolyard game just by watching. A child who learns to read gains access to the entire written world. AI has not yet transformed ABA, but most organizations already have enough exposure to get distracted without a clear way to decide what belongs in the business, what should be tested first, and what should be ignored before time, money, and credibility get wasted.
This course teaches pivotal behaviors for AI. The goal is not to cover every model, platform, and product category in a landscape that changes by the month. It is to give you enough working fluency with the current tool landscape and enough understanding of why these systems work the way they do that you can engage with whatever comes next — not as a passive consumer waiting for the next product launch, but as someone who understands the territory well enough to evaluate, experiment, and act independently.
Behavior analysts are not starting from scratch here. The field's comfort with black-box pragmatism, environmental arrangement, measurement, and functional analysis translates directly to working with AI systems. Those are real advantages — but they only pay off through structured engagement, not passive observation.
The intensive is designed to find your edge and move it forward, wherever that edge is now. The specific products will change. The ability to engage with them as a serious operator — to know when, how, and why to use them — is what lasts.
Executive context
Staff are already experimenting without executive direction or governance. Vendors are making AI claims that sound plausible but cannot be evaluated. Prompting tips and chatbot familiarity are passing for implementation thinking. And most leadership teams have no framework for deciding what to test first, what should wait, and what should stay out of the business entirely.
What this is
This is
This is not
Outputs
Dave has scaled real therapy organizations and built the systems behind them. As CEO of Ausblick Therapie, he tripled locations and employees in a year. He then co-founded Knospe-Lerncenter and built it into Germany's largest ABA therapy provider in two years — 8 facilities, 80+ staff, ABA alongside speech, physical, and occupational therapy. He is also a researcher by training, with peer-reviewed work on decision making in the experimental analysis of behavior and neuroscience, including EEG, TMS, fNIRS, and brain–computer interfaces. Since 2024 he has been presenting on AI in ABA at international conferences, including the Best of ABA and the European Association for Behavior Analysis conferences. Few people sit at the intersection of building real ABA organizations, doing research-grade behavioral and neuroscientific work, and using frontier AI and multi-agent systems — including the open-source ClawSuite Relay he builds and maintains — as daily operating tools. The intensive is direct access to that intersection — and to the same environment participants will be working in themselves. Full CV →
Format
The intensive is designed to move from orientation and setup into practical implementation work and then into review, follow-through, and next-step planning. Participants should expect a hands-on format, not passive attendance. Session 1 includes setup support so preventable friction does not stall the program. Where relevant, participants will work with real frontier tooling and workflows — potentially including OpenClaw depending on cohort interest — without the intensive narrowing into a single-tool walkthrough.
Live on Google Meet. All sessions begin at 1:00 PM ET / 12:00 PM CT / 10:00 AM PT.
Orient, map, and set up. Live demos and use-case mapping. Sort opportunities into test, defer, and ignore. Get set up with the tools and environment you will use for the rest of the intensive.
Build and implement. Live implementation work on real workflows from your organization. Work through scope and build-vs-buy questions and start building with the tools and environment from Session 1.
Go deeper and define what comes next. Advanced topics chosen by the cohort, governance and scaling questions, and a clear plan for what to keep building after the intensive. Where there is interest, the cohort can also opt into an honest walkthrough of OpenClaw — what it is genuinely good for, where it falls short, and how to set it up and maintain it yourself rather than relying on outside help.
Private consultation
A private implementation consultation scheduled individually from Session 2 onward — during or after the intensive, depending on what works best. Bring others from your organization if useful. Use it to pressure-test priorities, work through organization-specific questions, or get direct guidance on what to build next. Held on the platform of your choice.
Between sessions
The week between sessions is deliberate — time to continue setup, explore workflows in your own environment, and bring real questions back to the next session. What you do between sessions, and when you schedule the private consultation, depends on what matters most to your organization.
Examples
Each participant works on their own goals, so what gets built depends on what matters most to you. These are illustrative starting points, not a fixed curriculum.
Commitment
Most AI offerings aimed at this field are awareness sessions, ethics overviews, or recorded courses. Useful, but not the same thing. This is a small cohort, live, with direct access to someone who has actually built ABA companies — and the work you do during it is on your own real problems. The price reflects that format.
The structure is deliberately hybrid. A consultation alone can solve one specific problem. A course alone can teach concepts. Neither does what this does: the group sessions build the conceptual scaffolding, and the private consultation tailors it to your own situation.
Session 1 is substantive: live demos, use-case mapping, environment setup, and real implementation work. If you decide afterward it is not the right fit, withdraw before Session 2 and tuition is returned in full.
Practical questions
No additional purchase is required beyond tuition and your own model access.
Minimum: a paid subscription to at least one frontier model such as ChatGPT, Claude, or Gemini. Your organization's existing API access or team plan also works.
Recommended: for serious implementation work, a premium plan in the $100–200/month class. If you do not already have model access, wait until the first session before making any new purchase.
Next step
Founding cohort: $1,250 through April 21, 2026. Standard: $1,750 thereafter. No sales tax or VAT. Capped at 8 participants.
By registering, you agree to the Terms. The fit-based refund applies if you attend Session 1 and then notify us before Session 2 that the intensive is not the right fit.