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For managers, founders, and knowledge workers who value depth over noise. Sharp analysis and practical insights delivered to your inbox every Tuesday.
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Every issue picks one thing about work and really sits with it. No listicles, no warmed-over LinkedIn takes. Ten minutes to read, and it'll still be rattling around your head on Friday.
Ideas we've watched founders and managers try out in the wild. What landed, what fell apart, and the messy in-between you'll never get from a podcast clip.
Written by someone who's spent 14 years shipping real systems, not promises, from scrappy MVPs to products used by 100,000+ people. Made for founders past the tutorial phase who need things that hold up under load, not another hot take in the feed.
You secured access to the model. You left the software that wraps the model sitting on the internet like a weekend project. That is where the real risk moved this year, and most teams have not noticed yet.
Hours saved at the individual desk are not showing up on the P&L. They are absorbed by invisible supervision labor: context loading, verification, reprompting, and cleanup nobody budgets for.
Working code proves the idea is right. Scaling code proves the architecture can carry the weight of being right. They are different problems wearing the same clothes, and AI is quietly widening the gap between them.
The first thing AI hands you is not automation. It is an honest audit of how your company actually works, whether you asked for one or not.
I write WorkLens from inside the work: running an agency, putting AI into real production systems, and watching teams ship faster than they can vouch for it. The same patterns keep showing up, and almost nobody making the big AI calls has honest signal to go on.
So this is the newsletter I wanted back when I was making those calls myself. First person, researched, no hype, and short enough to finish with your coffee. Just clear thinking about how technical work actually gets built in 2026.
Previously: 14 years building and shipping systems, including Interns School (100,000+ users). Currently: running an AI agency and writing WorkLens every Tuesday.
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