TL;DR: ADHD isn’t laziness—it’s hyperfocus (12-hour research burns) paired with avoidance of low-dopamine tasks (2% documentation). The author designed systems around his brain instead of against it: break timers (prevent crashes), AI assistants (track and remind), energy-based planning (high-energy: complex; low-energy: maintenance), task novelty matching. Leadership lesson: build for variability, not uniformity. Focus on results, not process conformity.
For years I thought I was lazy. The pattern was consistent - I’d lock onto a problem and disappear into it for 12 hours straight. Sometimes I delivered something really impressive. Sometimes I didn’t deliver anything.
People saw the output. They didn’t see what happened between sprints: I could hyperfocus for hours on research and strategy. Dopamine from learning kept me going. The last 2% - documentation, polish - my brain refused to engage. The engine wouldn’t turn over.
A few years ago, my wife showed me an interview about neurodiversity and symptoms of ADHD. “This sounds exactly like you,” she said.
Hyperfocus, procrastination, perfectionism, unease - I ticked the boxes. DIVA test confirmed it.
That’s when all the pieces came together. This wasn’t a discipline problem - I’d been running a different operating system and measuring performance against someone else’s benchmark.
This episode of Andrew Huberman’s podcast on ADHD helped me understand the mechanisms behind that.
Here’s the flow I designed:
- I set timers to remind me about taking a break. That prevents 8-hour burns and immediate crashes.
- AI assistants became my everyday companions. They track what’s open, remind me what matters, and push me toward done over perfect.
- I switched to energy-based planning. Every morning I rate my energy (1-10) and match tasks accordingly. High-energy: complex problems. Low-energy: maintenance and admin.
- I designed systems around how I actually function. High-novelty tasks when my brain wants novelty. Low-novelty in short bursts.
I finally stopped “fixing myself” and started optimizing tasks for how my brain operates.
I apply that schema everywhere. I can relate with people struggling with tasks that are effortless for others, and it does not matter if they have a diagnosis or don’t need it. Each brain is wired differently and has its own limitations.
But understanding that something is hard doesn’t mean you don’t do it. The boring tasks still need to get done. But maybe not the “normal” way - maybe in 5-minute bursts, maybe paired with someone, maybe using AI to handle the parts your brain refuses to engage with.
That’s the leadership lesson. I don’t expect everyone to have the same working memory, attention span, or energy curve. I build an environment that accounts for variability instead of demanding uniformity, and focus on results instead of the path.
That’s not accommodation. That’s reality, not theory.
Frequently Asked Questions
What is the difference between laziness and ADHD-related hyperfocus followed by avoidance?
Laziness implies choice and motivation deficit. ADHD involves a different neurochemistry: hyperfocus on high-dopamine tasks (12-hour research sprints) paired with complete disengagement from low-dopamine tasks (2% documentation). The engine won’t turn over for boring work—not because of discipline deficit, but because the brain’s reward system works differently. Confirmation came via DIVA test and neuroscience research (Huberman’s ADHD podcast). It’s not a character flaw; it’s a different operating system measured against someone else’s benchmark.
What systems did the author design to work with ADHD instead of fighting it?
Four core systems: Break timers prevent 8-hour hyperfocus burns and immediate crashes. AI assistants track what’s open, remind what matters, and push toward done-over-perfect. Energy-based planning rates daily energy (1-10) and matches tasks accordingly—complex problems during high energy, maintenance during low energy. Task design matches novelty preference: high-novelty work when the brain wants novelty, low-novelty tasks in short bursts. The shift from “fixing yourself” to “optimizing for how your brain works” unlocked productivity.
How does understanding neurological differences change leadership approach?
Instead of expecting everyone to have the same working memory, attention span, and energy curve, leaders should build environments accounting for variability. Focus on results and methods instead of demanding uniform processes. Some people need 5-minute task bursts. Others need pairing or AI assistance for low-engagement tasks. Accommodation isn’t special treatment—it’s recognizing reality: each brain is wired differently with its own limitations. The goal is output and impact, not conformity.
What’s the broader lesson about labels like “smart but lazy”?
Labels like “smart but lazy” measure performance against neurotypical baselines, masking the real issue: different brains need different systems. A DIVA test or diagnosis isn’t required to apply this wisdom. Understanding that something is hard for you doesn’t mean you avoid it—boring tasks still need doing. But maybe not the “normal” way. The insight: variability is real, and accounting for it creates better outcomes than demanding uniformity.