How I keep up with AI progress
A working engineer's system for filtering AI noise, stick to primary sources and a short list of trustworthy people, from an Indian software studio, widely shared as the sane answer to AI FOMO.
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Strategy & The AI-Native Founder
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How do I evaluate the endless stream of new AI tools without drowning?
The short answer
Accept that nobody can keep up, the winning move is a filter, not more consumption. Start from a real friction point in your own work (not from a tool's launch video), trial one tool at a time on a real task for a week, and follow two or three trusted practitioner sources for 15 minutes a day instead of every launch thread. If a tool doesn't stick after a week, or solves a problem you won't still have in a year, drop it without guilt.
A quick orientation. The real value is below: resources worth your time, from people who've actually done it.
4 resources worth your time
You Can't Keep Up With AI. Nobody Can. Here's What to Do Instead.
Gives five concrete filters you can apply to any shiny new tool, start from work friction, go deep on one tool for a week, the one-year test, and permission to ignore the rest.
Open chriskobar.medium.com →You Asked How I Keep Up With AI. Here's the Honest Answer.
A named 15-minutes-a-day source list (AI Daily Brief, Ethan Mollick, Ben's Bites, Nate B. Jones) you can copy wholesale instead of building your own from scratch.
Open smithstephen.com →How I AI, podcast where operators screen-share real AI workflows
The highest-signal way to discover tools: watch a founder or operator demo a workflow that already works in production, then adopt only what maps to your own bottleneck.
Open youtube.com →