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Beyond the scorching pace of the frontier hype cycle lies the long tail of this revolution, the part where AI actually has to get adopted. Meaningfully. Efficiently. With measurable outcomes, delivered consistently and at scale. It’s the place where the grand abstractions of AGI and data centers in orbit collide with something far more grounded: a reasonable token budget.

I’m a mid-career executive trying to find my way back to the command line after two decades away. I spend a serious share of my hours building and breaking the tools, arriving at this absurd velocity - deploying open LLMs, wiring up agents, falling for the markdown file, and testing concepts like the second brain, agentic workflows, and token-maxxing.

I document the failures, the wins, and - most of all - the learnings because the best way to learn is by doing.

Right now, there's a deluge of YouTube videos, X threads, and breathless explainers that, at best, cost you hours and leave you with little more than high-level theory. I've decided to actually try it all and separate the signal from the noise. Expect one new learning every Friday, and the occasional short update midweek.

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~ Ankur

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