A worked example from AI Agents 101
The Operating System of Jane Doe
Fictional · 47 · Consumer-brand strategy consultantFive surfaces of Jane Doe-OS. Pick a lane.
Every co-founder reads this profile at the start of every session. It is the source of truth for the system.
Jane Doe, 47. Founder of Jane Doe Advisory, a strategic consulting practice for mid-stage consumer brands. Twenty-two years in corporate retail before going solo eighteen months ago. Lives in Westchester, NY with her husband Tom and two kids, Alex (12) and Maya (9).
Pattern-matches from twenty years in retail (a strength when patterns hold, a weakness when something is genuinely new). Moves fast on people, slow on money. Bad at saying no to interesting opportunities. Wants weak signals, not consensus.
Each one has a name, a personality, a clear scope, and a portrait. Generic role labels keep the system feeling like a tool. Names and faces turn it into a team.
Calm, organized, unflappable. A former military aide turned executive operator. Tells Jane she's overcommitted before she notices.
Sharp 55-year-old in a navy blazer. Polite, measured, hard to charm. Won't cosign anything that doesn't pencil out.
38-year-old former think-tank fellow who left academia because he wanted to be useful. Curious by temperament, skeptical by training.
40-year-old magazine-trained writer. Sharp, funny, hates exclamation points. Cuts ten words to make seven.
42-year-old former All-American athlete who treats sales as a sport. Disciplined, friendly without being warm.
48-year-old former in-house counsel who left a big firm for a real life. Methodical, thoughtful, will read a 30-page MSA on a Saturday.
The system is just files in a folder. The magic is that work routes naturally to the right co-founder.
Jane opens Claude Code: "Marcus, brief me." Marcus reads ABOUT_ME.md, his role file, and the active projects. He gives her the day.
A new client agreement arrives in her inbox. She forwards it: "Catherine, review this." Catherine flags two clauses, drafts three questions to ask before signing.
Jane has an idea for a new revenue line. Before anyone else weighs in: "Helen, pressure-test this." Helen models the scenarios, asks what could go wrong.
A client is exploring a new category. "Samuel, brief me on natural pet food." He reads the market, writes a one-pager into References/.
Jane wants to publish a LinkedIn post about her thesis. "Olivia, draft three versions in my voice." Olivia returns three, tells Jane which is strongest.
"Daniel, who needs a follow-up this week?" He surfaces three stalling deals, drafts the messages, flags one as cold.
"Marcus, what did I miss." He tells Jane what slipped, what carried over, and what to look at first tomorrow.
This is what is possible in a weekend. Jane Doe is fictional, but the structure is real and the prompts work. The full guide walks you through every step.
Read AI Agents 101 →Project files live in the Projects folder. Here is one Jane is working on right now — a sample artifact to show you what your own project files might look like.
Why most consumer brands stall at $50M and what the ones that don't get right.
Most consumer brands hit a wall between $30M and $80M in revenue. The wall is not a category problem or a product problem. It is an operating problem: the founder-led patterns that got the brand from zero to $30M actively prevent it from getting to $300M. The book identifies the patterns and tells the stories of brands that broke through and brands that did not.