The Age of Applied AI: Why Everything's Changing

February 15, 2026 · 1 min read

The landscape of AI is shifting fast. In the past year alone, we've gone from large language models being a novelty to them becoming infrastructure. Every week brings a new capability that would have seemed impossible twelve months ago.

What's changed

Three things stand out:

  1. Models are becoming tools, not toys. The gap between a demo and a product has narrowed dramatically. You can now build real applications — not just chatbots — on top of foundation models.

  2. Agents are real. Not in the sci-fi sense, but in the practical sense. Systems that can reason, plan, and take actions are becoming reliable enough to deploy.

  3. The cost curve is wild. What cost $100 to run a year ago costs $1 today. This changes what's economically viable.

What I'm doing about it

I'm spending most of my time building at this intersection — taking what's newly possible and turning it into things that actually work for people. Not research for research's sake, but applied AI that solves real problems.

More on this soon. For now, I just wanted to put a stake in the ground: something big is happening, and I'm paying attention.

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