The most common disappointment with AI at work is not a bad model. It is a model that knows nothing about you.
Ask a general assistant to write your customer proposal and you get a general proposal. Give it your past offers, your pricing logic, your tone, your customer history — and the same model becomes genuinely useful. The difference is context, and context is your own information.
Your information is scattered by default
For most people it lives across email, chat threads, a couple of cloud drives, a notes app, a CRM, a phone camera roll and a stack of PDFs. Each tool holds a slice, none holds the whole, and every provider has an interest in keeping their slice where it is.
That is fine until you want an AI agent to work on your behalf. Then the fragmentation becomes the bottleneck.
Start raw, structure later
The instinct is to design a perfect folder system first. That instinct is what stops most people from ever starting.
A better order:
- Collect. Put your material somewhere you control — one place, however messy.
- Keep it raw. Do not clean, rename or reorganize as a precondition. Volume of real material beats a tidy but empty system.
- Let AI do the structuring. Categorization, summaries and retrieval are exactly what these tools are good at, and they can be redone whenever your needs change.
- Decide what leaves. Ownership means you choose what an agent, a vendor or a model gets to see.
Why this matters more each year
As agents start acting on your behalf — booking, drafting, negotiating, filtering — the quality of their work depends on the quality of the context you can hand them. Whoever holds that context holds the leverage. That is the argument at the heart of the book, and it applies just as much to a one-person company as to a large organization.
This theme is explored in depth in Personal Ecosystem — you can read the introduction or browse the chapter summaries. If you would rather apply it directly to your own business, that is what the 1:1 coaching is for.