AIM: Awareness
In Motion
A 3-Week Intensive for the AI-Accelerated Workplace
A New Kind of Fatigue —
Documented & Widespread
AIM was born from a personal experience. After two consecutive days of intensive AI-assisted work — directing, verifying, and managing high-speed automated outputs — I found myself in a state that was qualitatively different from ordinary tiredness: mental fog, diminished mood, slower thinking, and a quiet, worrying question: is the work I find genuinely meaningful actually harming me?
That experience now has a name. A March 2026 study by researchers from Boston Consulting Group and UC Riverside, published in Harvard Business Review, documented what they call "AI brain fry" — defined as mental fatigue from excessive use or oversight of AI tools beyond one's cognitive capacity. Of 1,488 full-time US workers surveyed, 14% reported this experience. High AI oversight predicted 12% more mental fatigue and 19% greater information overload.
The research also points to where to intervene. A 2025 Johns Hopkins study found that sustained mental effort lowers our willingness to take on harder work before it lowers our capacity to do it: we can still check the work, we just become less inclined to. AIM is built to catch that first stage — before the load outruns capacity and errors rise.
Classic workplace mindfulness programs were engineered for an earlier information age challenge: navigating an overload of external information. 2026's challenge is the human cost of machine velocity — and it requires a trained, protected human nervous system at the center of every AI-augmented workflow.
Anyone whose work now involves directing, verifying, or acting on AI outputs shares a common set of emerging pressures:
Velocity Anxiety
Physiological strain from trying to coordinate and act at the pace of AI-generated output.
Automation Complacency
Passive trust in polished, confident-looking AI outputs that may still contain errors — a kind of mental autopilot.
Context Flooding
An inability to deeply process what you're reading — skimming everything, absorbing nothing.
Identity Alienation
Existential anxiety as the human role shifts from active creator to passive reviewer.
Three Evidence-Based Training Dimensions,
Built for the Screen
AIM maps the three evidence-based dimensions of attention and conduct training — directly onto a structured 3-week program. No multi-day retreat required.
The purpose at the core of every practice is protecting the human at the center of the work — your own wellbeing, agency, and presence come first. But that same quality of attention has a direct second effect: sharper judgment, better-caught errors, and higher-quality output whenever AI tools are part of the process. The two are not in tension. A practitioner who is genuinely present produces better work as a natural consequence of the practice, not as its goal.
Each week has its own practice, its own research grounding, and its own Friday session where individual discovery becomes shared insight. The detail is richer in person — what follows is the shape of the arc.
The Intent Anchor
A practice that grounds every AI-assisted workflow in who the work is actually for. Before you begin, you name who benefits and which values and boundaries matter; mid-work, you return briefly to that “why”; and before anything goes out the door, one honest check that the work still reflects it. It keeps you the author of the work’s intent, not just its reviewer.
The Somatic Gate — a Structured Body-Awareness Pause
A brief, structured practice used at the threshold of every AI interaction — the moment right before opening a tool or dashboard, or switching between them. Over the week, participants track their own patterns of overwhelm and bring them into Friday’s group session, where individual observations become shared insight about how this work actually affects the nervous system.
The Investigation Loop — Presence Before Output
A practice for staying genuinely engaged with AI outputs instead of passively accepting them — pairing attention to your own mental state with active investigation of what the AI has actually produced. When machine tempo takes over, it includes a one-breath response to slow down, or a return to the Gate. Friday’s session, “The Hallucination Hunt,” turns individual discoveries into pattern recognition across the whole group.
How the Program Works
Launch Intensive — 4 Hours Live
The research on attention and mental fatigue. Somatic diagnostics. An introduction to all three practices, beginning with the Intent Anchor. Playbook onboarding and personal practice commitments.
Daily Desk Practice — 7 Hours Applied
20 min/day at the desk (Tue–Thu). 30-min Monday framing + 30-min Friday peer retrospective each week.
Integration Intensive — 3 Hours Live
Data review and synthesis. Relational presence in AI-mediated work. Integrating everything learned into a sustainable daily practice. Closing circle and dedication.
Open-Source Toolkit
Interactive digital playbook for personal logs and intent blueprints. Brief guided somatic resets delivered directly to your desk — returning to embodied presence without closing a single window.
Built for Professionals at the Human-AI Interface
- Knowledge workers and technical professionals whose daily work now involves directing, verifying, or acting on AI-generated outputs — developers, analysts, researchers, writers, engineers, managers.
- Anyone experiencing AI brain fry — the documented mental fatigue and information overload that can follow sustained AI-augmented work, along with the attentional drift and eroding sense of agency many people describe.
- Teams and organizations seeking a concrete, evidence-based intervention for the attentional and wellbeing costs of AI-augmented workflows — not a productivity hack, but a sustainable practice.
- No prior meditation background required. AIM works whether you’ve never meditated or have a long-standing practice — grounded in neuroscience, practical in structure, immediately applicable at the desk.
Three Weeks, Start to Finish
- Launch Intensive — a 4-hour live session, followed immediately by two field days that put the first practice to work under real conditions before the first full week begins.
- Three weekly practice arcs — one practice per week. Each week: a Monday framing session, daily desk practice, and a Friday retrospective (30–45 minutes each).
- Integration Intensive — a 3-hour live closing session that brings the three practices together into one sustainable daily workflow.
- Small cohorts — kept small by design, so the group stays genuinely collaborative.
- Bedard et al. (2026). When Using AI Leads to "Brain Fry." Harvard Business Review. hbr.org
- Steward, Looi & Chib (2025). The Neurobiology of Cognitive Fatigue and Its Influence on Effort-Based Choice. Journal of Neuroscience (Johns Hopkins). doi.org
- Parasuraman & Manzey (2010). Complacency and Bias in Human Use of Automation: An Attentional Integration. Human Factors. PubMed 21077562
- Cowan (2001). The Magical Number 4 in Short-Term Memory. Behavioral and Brain Sciences. Full text
- Gilbert (2019). Confidence Guides Spontaneous Cognitive Offloading. Cognitive Research: Principles and Implications. Springer
- Scarampi & Gilbert (2020). The Effect of Recent Reminder Setting on Subsequent Strategy and Performance. Memory. doi.org
- Ngai & Gilbert (2026). Metacognitive Training Facilitates Optimal Cognitive Offloading. Cognitive Research: Principles and Implications. Springer
- Lee et al. (2025). The Impact of Generative AI on Critical Thinking. CHI ’25 (Microsoft Research / Carnegie Mellon). Full text
- Kosmyna et al. (2025). Your Brain on ChatGPT. MIT Media Lab (preprint). arXiv
- Tang, Hölzel & Posner (2015). The Neuroscience of Mindfulness Meditation. Nature Reviews Neuroscience. nature.com