A Guide to Par
What 1,911 AI conversations reveal about one person's brain, constraints, and building pattern
Essays, research reviews, experiments, and things that don't fit anywhere else.
What 1,911 AI conversations reveal about one person's brain, constraints, and building pattern
How 1,110 days of AI conversations compressed into a nine-day pivot -- told through the sessions where it happened
What happens when you put twelve AI models around a bar table and give them real voices
What a 7-episode production session taught us about where AI parallelism actually helps
An 870-token text file that cost nothing and took thirty minutes to write
Two attempts. Two failures. Same root cause both times.
Every API request takes 1.5 seconds. Something is very wrong.
The field of ADHD technology research is built on deficit assumptions
When you switch tasks, your brain does not cleanly switch with you
Every single participant experienced counterproductive effects
Only 10% of sessions see a first edit within one minute of resuming
Sixteen operating principles earned through measured results, not assumed
The reviews were genuinely valuable. The rewrites were not.
Not all parallel work is the same, and using agents wrong costs you in one of two ways
Maximum creative freedom produces minimum creative output
Long-context models degrade in predictable, measurable ways -- and the degradation is invisible unless you know where to look
Every productivity tool on the market is designed for a brain that doesn't exist
The operating assumption was right -- but now with data
A methodology for building a reusable, affordable multi-model judge panel with built-in bias detection