Personal agents vs. company agents: who owns the context?
The difference is not how smart the model is. It is who the system serves, what it can remember, and who is accountable.
Research and practical perspectives on making AI useful inside a company.
7 insights
The difference is not how smart the model is. It is who the system serves, what it can remember, and who is accountable.
Individual usage is a starting point. Operational change needs a workflow, an owner, and a before-and-after comparison.
A research note on useful context, maintained sources, and the difference between remembering and knowing.
A practical way to discuss permissions before a useful assistant becomes an unpredictable operator.
Less waiting for answers. Fewer repeated questions. A practical lesson in making company knowledge useful.
An operator’s reading of OpenAI’s Enterprise Signals: the usage gap, the skills gap, and the work behind both.
Frontier / typical output tokens per active user · multiple
What Anthropic’s Cadences report suggests about tools, delegation and learning—and what it cannot prove.
Claude Code minus chat / Cowork · points on a 1–5 autonomy scale
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Research notes distinguish the source’s findings from our interpretation.