Historical cohort · April–May 2026
This page preserves the programme and offer details of a multi-session executive AI implementation intensive held for decision-makers in April and May 2026.
The April–May 2026 cohort has concluded. This page is retained solely as a historical record; no Executive AI course, registration, or future cohort is currently offered.
Original rationale
The programme's rationale drew on the behavior-analytic practice of teaching pivotal behaviors: skills that open access to broader categories of behavior. It argued that organizations already had enough AI exposure to become distracted without a clear way to decide what belonged in the business, what should be tested first, and what should be ignored before time, money, or credibility was wasted.
The course was designed to teach pivotal working behaviors for AI rather than cover every model, platform, and product category. Its goal was to give participants enough fluency and conceptual understanding to evaluate, experiment, and act more independently as the tool landscape changed.
The programme also drew on behavior analysis's comfort with black-box pragmatism, environmental arrangement, measurement, and functional analysis as advantages for structured engagement with AI systems.
The intensive was intended to identify each participant's existing edge and move it forward. The durable target was the ability to decide when, how, and why to use changing tools.
Executive context
The programme was developed for a period when staff were experimenting without executive direction or governance, vendors were making difficult-to-evaluate AI claims, and prompting tips or chatbot familiarity were often passing for implementation thinking. Its premise was that leadership teams needed a framework for deciding what to test, defer, or keep out of the business.
Original format
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It was not
Original 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 presented on AI in ABA at international conferences, including the Best of ABA and the European Association for Behavior Analysis conferences. The historical offer described the intensive as direct access to his experience building ABA organizations, conducting behavioral and neuroscientific research, and using frontier AI and multi-agent systems — including the open-source ClawSuite Relay he builds and maintains — as operating tools. Full CV →
Format
The intensive was structured to move from orientation and setup into practical implementation work, followed by review and next-step planning. It used a hands-on format and included setup support in Session 1. The historical programme contemplated work with frontier tools and workflows, potentially including OpenClaw depending on cohort interest, without narrowing into a single-tool walkthrough.
The sessions were scheduled live on Google Meet at 1:00 PM ET / 12:00 PM CT / 10:00 AM PT.
Orientation, live demonstrations, use-case mapping, and environment setup. Participants were to sort opportunities into test, defer, and ignore categories.
Live implementation work on participants' organizational workflows, including scope and build-versus-buy questions using the environment established in Session 1.
Advanced topics selected by the cohort, governance and scaling questions, and next-step planning. The historical programme also allowed for an optional walkthrough of OpenClaw, including its uses, limitations, setup, and maintenance.
Private consultation
The programme included a private implementation consultation scheduled individually from Session 2 onward. Participants could include colleagues and use the session to pressure-test priorities, work through organization-specific questions, or identify what to build next.
Between sessions
The week between sessions was intended for continued setup, workflow exploration, and preparation of questions for the next session. The consultation schedule depended on each participant's priorities.
Examples
The programme proposed illustrative starting points rather than a fixed curriculum; actual work was to depend on each participant's goals.
Historical terms
The April–May 2026 offer described a small, live cohort that combined group instruction with implementation work and a private consultation. Its USD 1,250 tuition reflected that format.
The programme was presented as a hybrid: group sessions for conceptual scaffolding and a private consultation for participant-specific application.
The historical fit policy allowed an attendee to withdraw for a full tuition refund after Session 1, provided notice was given before Session 2 and the attendee did not continue into Session 2. The preserved legal terms provide the complete wording.
Practical questions
The historical tuition was USD 1,250. Participants also needed access to at least one paid frontier model account, such as ChatGPT, Claude, or Gemini; an existing organizational API or team plan could be used.
At the time, the programme recommended a premium model plan in the USD 100–200 per month range for serious implementation work. Participants who did not already have access were advised to wait for Session 1 before purchasing it.
Historical record
This page is retained as a record of that closed cohort. Multiplicity is not currently offering or accepting registration for an Executive AI course.