The One AI Market Every Lab Is Now Chasing
Three labs reorganized around the same idea this quarter: the prize is not chat, it is agents that do work inside companies. Here is what that means for your roadmap.
Insights and updates
Analysis and field reports on company AI strategy, adoption and agent building from the AI Bootcamp team.
Three labs reorganized around the same idea this quarter: the prize is not chat, it is agents that do work inside companies. Here is what that means for your roadmap.
Agents get worse when you give them everything. The same pattern quietly breaks company AI strategies, and the fix is a context plan, not a bigger model.
Model capability keeps climbing while most teams still use AI the way they did last year. The gap between the two is where advantage is won or lost.
Twenty examples with known right answers will tell you more about an agent than any demo. How to build one in an afternoon.
Usage metrics tell you people opened the tool. Here are the impact measures boards actually respect, and the survey questions that produce them.
A walkthrough of how one Sprint participant built a coordinating agent over four weeks, including the parts that did not work.
Compliance bolted on at the end slows everything down. Policy checks that run inside the agent workflow do not.
The five releases that matter for teams building agents this week, and the two you can safely ignore.
Four-person teams are shipping what used to take forty. What they have in common, and what it asks of managers.
From visionaries with weak plumbing to careful incumbents, the archetypes that show up in readiness audits and what each should do next.
License fees are the smallest line. Integration, review time and change management are where budgets go, and how to plan for them.
Most AI training fades within a month. Training built on each person's own work does not. What we learned from our first thousand participants.
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