Teresa Torres runs a company that teaches product discovery to 18,000 people. She manages courses, a podcast, a newsletter, coaching programs, and content across multiple channels. She does it from two Claude Code terminals and a note-taking app. No ops team. No executive assistant. No project manager. Just Teresa, Claude, and a context architecture she spent months building. This isn't a hack. It's a system.
The Setup
Every morning, Teresa types /today. Claude generates her prioritized to-do list — not from a template, but from a deep understanding of her current projects, goals, writing schedule, and what she left unfinished yesterday. That's possible because of how she's structured her context.
The Three-Layer Context System
Layer 1 — Global Context
A single CLAUDE.md file holding her universal operating principles. Preferred communication style, the rule that Claude should always plan before acting, the things that stay true regardless of project.
Layer 2 — Project Context
Each major area of her business has its own folder with its own CLAUDE.md. The writing folder knows her voice and style. The tasks folder knows her workflow. Kept separate so context doesn't bleed.
Layer 3 — Reference Files
Business intelligence. Her target customer profile. Key value propositions. Revenue model. Marketing channels. Claude decides when to pull these in based on what's relevant to the task at hand.
The Key Principle
"Claude Code is only as good as what it knows about you." The system's effectiveness depends entirely on context quality — specific, maintained, structured documentation.
"Claude knows who my target customer is, the key value propositions I focus on, the specific opportunities each product addresses, my revenue model, my marketing channels, and so much more." — Teresa Torres
What She's Actually Delegating
The workflows Teresa runs through this system:
Daily Planning
Start every day with /today. Claude generates a prioritized list from her current project load, open tasks, and goals — not a generic to-do, a prioritized decision.
Content Drafting
She writes every word herself. Claude is in "plan mode" alongside — mapping structure, flagging gaps, keeping her on track without taking the wheel.
SEO Research
Keyword analysis, competitive reads, optimization notes — handed off entirely. Teresa defines what to rank for; Claude does the research.
Research Delegation
When she needs background on a topic, she sends Claude to find it. Exploratory research runs in the background while she's doing other work.
Podcast Metadata
Show notes, timestamps, summaries, descriptions — systematized and generated automatically from transcripts.
Task Brainstorming
Collaborative ideation on potential work tasks. Claude knows her goals well enough to suggest what's worth prioritizing.
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Install Mozart →What This Actually Takes
Here's the part people skip over when they read about Teresa's setup: she didn't download an app and get this. She built it. The context files took months to develop. She had to learn what Claude needed to know, how to structure that information, what level of specificity made the difference between a useful response and a generic one.
She also had to learn what not to delegate. Her principle — Claude handles the structure, Teresa makes the decisions — sounds simple, but it requires constant judgment calls about where that line sits.
And she had to build the discipline to maintain the system. Context files that go stale are worse than no context at all. The architecture requires ongoing investment.
The Pattern Is Bigger
Teresa is the most documented example of this model, but she's not the only one building it. Across the founders and operators we talk to, the pattern looks the same: a small team (or a team of one) using Claude not as a chatbot but as an operating layer. Not "ask Claude a question" but "Claude knows how my business works and participates in running it."
The founders who've cracked this share three things: they've invested in context architecture — clear, specific, maintained documentation. They've built workflows, not prompts — repeatable systems where Claude plays a consistent role. And they've drawn clear delegation lines — knowing exactly what Claude handles and what requires human judgment.
What Mozart Does
Most founders know they want this. Very few have the time or clarity to build it. That's the gap Mozart fills. We build the operational layer — the context architecture, the workflows, the agent systems — so founders can run the way Teresa runs without spending months figuring out how to get there.
One task at a time. Flat monthly fee. We do the building; you do the leading. If you're trying to move from "using AI occasionally" to "running on AI natively," that's exactly what we're built for.
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