The Leverage Mindset: Why Most People Use AI Backwards
Everyone asks AI to do their work. The operators ask a sharper question first — where is the constraint, and can it be removed entirely?
Read the essay→Essays on AI leverage · a newsletter · a community
Writing for operators who’d rather delete the work than do it faster. Systems, mindset, and the boring automations that actually compound — in plain English.
About
placeholder bio For years I’ve built automations and products that quietly do the work in the background — the boring, deterministic kind that compounds. Along the way I learned that the winners don’t use AI to go faster; they use it to remove work entirely.
Now I write about how that actually looks in practice: the mindset shifts, the systems, and the small automations you can ship this week. No hype, no 5,000-prompt bundles — just the parts that hold up when the next model drops.
This bio is a placeholder — Vishu will replace it with his real story, credentials, and links before launch.
The archive
Autonomous agents are seductive. But for the work that actually pays, a boring deterministic workflow wins on reliability, cost, and sleep quality.
How I structure a day so that AI handles the surface area and I spend my two best hours on the one thing only I can do.
Prompt libraries feel like an asset. They're not. The durable edge is taste, context, and the systems you wrap around the model.
The newsletter
Short, practical, no fluff. The systems and mindset shifts I’m actually using — sent straight to your inbox.
The community
Templates, teardowns, and weekly live builds — inside a focused Skool community for operators. Come ship something real.