Build a small internal AI team running six months ahead of everyone else
VibeMarketer_ · x · 2026-08-18
The author argues companies should pick the top 50-100 people across engineering, ops, sales, marketing, finance and security to form a small AI team that stays roughly six months ahead of the rest of the company—exploring what the newest models can do, letting agents run overnight, rebuilding whole workflows, and working through permission, data and review problems.
Every experiment should leave behind: the original workflow and cost, the new workflow, the instructions and tools used, failure cases, required human review, and measured time/money saved. Successful experiments then become systems the whole company adopts.
This is a compromise: company-wide rollouts need stability, while real experimentation needs speed and risk tolerance. Companies have always funded R&D for products; they now need an R&D function for how the company itself works.
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