An AI agent is like a smart new hire who’s only allowed to learn how to do their job by reading the company wiki.
They'll understand the basics of how things work. But the way work actually happens lives in exceptions, workarounds, and judgment calls that almost never get
Daylight saving time is a policy that could only have been designed by people without young children.
If your toddler also thought 4am was a perfectly reasonable wake-up time this fine Monday, I see you 👀
Scribe tested a frontier model on 30 enterprise tasks to see what context helped it most.
With a company wiki: ~55% better than the model alone
With step-by-step guides of how people do work: ~70% better
With both: ~60% better. Worse than the guides alone.
More context =/=
The stat going around today, that 10% of workers capture 90% of AI productivity gains, is a predictable reflection of how companies have been thinking about AI: as an individual productivity tool. Which means the gains accrue to individual employees and can leave with them.
Just spoke to the Head of AI at a huge company.
The #1 thing they're struggling with is... what do I do with the AI laggards at our company?
Like most companies, they’ve found that a Super Pareto Principle is true within their org. 10% of their employees are responsible for
