Lucy is a proactive AI coach from Lucy Labs that lives on your desktop as a cloud-backed app.
You know your work better than anyone. That just became enough to build what it needs.
The tool you always wanted at work could be running a couple hours from now.
Account exec Tom builds his meeting prep agent ("Jerry") in two hours.
- Lucy starts from how you work, not a template.
- You decide, design, and direct; Lucy coaches; what you build together does the work.
- What you build is yours and keeps working after the build session.
- Unlock the value of your employees doing high value work while using AI to automate the repetitive stuff.
What Lucy is
Lucy is a proactive AI coach who lives on your desktop, in the flow of your work and life. With your permission, she sees how your work actually happens, so her coaching fits your reality instead of a template. She coaches you to build; she never does the work for you and never acts on your data or systems.
Privacy isn't a setting on top of Lucy; it's the architecture underneath her.
How Lucy helps, in three steps
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With your permission she sees how your work happens.
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She spots where your time actually goes.
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She coaches you to build the solution, and the solution keeps working.
Why this is suddenly possible
10 to 100x
Turning an idea into a working solution just got 10 to 100 times cheaper and easier for people who can direct AI. The solutions you never had the budget or the team for are suddenly within reach.
Six scenes, one pattern
The person who knows the work builds the solution.
Modeled examples, never claimed results or guarantees. Team-level numbers assume a 25-to-50-person team inside a larger company.
Meeting prep
Tom, an account exec, walks into some meetings shallow, because the context hunt across CRM, mail, notes, and news takes longer than the meeting deserves. Lucy spots the pattern and coaches him to build Jerry, an agent that assembles a one-page brief for his review before every meeting. Two hours of coaching; prep drops from about 30 minutes to about 10; modeled across a 30-person team, 50 to 80 hours a week come back. Tom walks in prepared instead of stressed, and his team adopts Jerry.
- CRM
- Notes
- News
Illustrative example.
Outreach
An SDR spends her day trading quality for volume, rewriting the same three cold emails and hearing how generic they read. Lucy coaches her to build a research-and-draft workflow that finds a real reason to reach out before a word gets written, drafts in her voice, and sends nothing unreviewed. Modeled: each touch drops from 10 to 12 minutes to 5 or 6, replies go up, and the demoralizing part of the job shrinks.
Illustrative example.
Proposals
A services team starts every proposal from a blank page, 3 to 4 hours each, some finished late the night before the deadline. Lucy coaches the lead to build a first-draft assembler grounded in their own past wins and pricing rules; drafts arrive in 75 to 120 minutes and the team edits instead of typing. Modeled on a 15-person team, 600 to 1,000 hours a year come back, and the late-night proposal scramble stops being part of the job.
Illustrative example.
Decisions
An ops manager assembles the same Friday decision pack from five systems, and risks still surface late because nobody wants to look like the blocker. Lucy coaches him to build a brief that arrives with the numbers reconciled and the options, assumptions, risks, and dissenting arguments already on the table. The meeting starts at the decision, and people can raise risks without looking like blockers. Modeled: 60 to 90 minutes per decision drops to 30 to 45.
Illustrative example.
Family logistics
A parent runs the family calendar in her head, and the conflicts surface the hard way. Lucy coaches her to build a weekly brief that flags the soccer pickup overlapping the dentist by 20 minutes and coordinates the fix; she reviews before anything syncs, and it stays private.
Illustrative example.
Hands-on support
A mechanic's craft was never the problem; the paperwork around it was: manuals, estimates, checklists, after-action notes. Lucy coaches him to build a helper that turns voice notes into customer-ready summaries and drafts the checklist from the work order. The craft stays human, newer workers feel less alone, experienced ones feel respected, and the business keeps more of its field knowledge.
Illustrative example.
Different jobs, one pattern: the person who knows the work builds the solution, Lucy coaches, and the build keeps working after the coaching moment ends.
Your first day
Before Lucy teaches, she listens: a first-session interview maps your work in your words and becomes the plan she coaches you from, built around you from the first day, and your first useful win lands on day one, on work you chose. Day one is a win, not a course.
Two hours ago Tom didn't know how to build an agent. Now his agent Jerry runs on his desktop saving him hours weekly. Lucy lets you go faster, and do high value work. What would you build with Lucy?
Frequently asked questions
What is Lucy?
Lucy is a proactive AI coach from Lucy Labs that lives on your desktop as a cloud-backed app, in the flow of your work and life. Most of the time she is a small, quiet icon. She stays out of the way until she spots a task where an AI-shaped solution could help, or until you call on her. She coaches you to build; she never does the work for you and never acts on your data or systems.
Does Lucy do the work for me?
No: Lucy coaches you to build the solution; she never presents herself as the solution that performs the work. You decide, design, and direct; Lucy guides and coaches the process; the solutions and agents you build do the work and deliver more value. Lucy can help you build an agent that checks the calendars; she never checks the calendars herself.
How does Lucy know how I work?
With your permission, Lucy sees how your work actually happens, so her coaching fits your reality instead of a template. Before Lucy teaches, she listens: a first-session interview maps your work in your words. She never gives you generic advice or AI tips.
Is my data private with Lucy?
Privacy isn't a setting on top of Lucy; it's the architecture underneath her. Lucy never acts on your data or systems; what you build executes inside your boundaries or your company's guardrails, doing exactly what you designed it to do.
What can I build with Lucy?
With Lucy's coaching, solutions take many shapes: a masterfully simple prompt, AI-assisted research, a coached workflow, a script, a bounded agent, or custom software. One of the skills Lucy builds in you is matching the shape of the solution to the shape of the problem. In the illustrative Tom and Jerry example, Tom builds Jerry, an agent that assembles a one-page brief before every meeting.
How long does it take to build something with Lucy?
In the illustrative Tom and Jerry example, Tom builds a working agent in about two hours of Lucy's coaching. Your first useful win with Lucy lands on day one, on work you chose; day one is a win, not a course.
Does what I build with Lucy stay mine?
What you learn and build with Lucy is yours, and it stays with you. The skills, judgment, and patterns you learn stay with you across roles, employers, tools, providers, and model generations. The prompts, workflows, agents, and solutions you build for work stay with the organization and keep compounding as tools and models change.
How is Lucy different from ChatGPT or Copilot?
Lucy is a proactive coach on your desktop, not another chatbot: she sees how you work, with your permission, coaches you to build, and never acts on your data or systems. Lucy is not a tool (tools change every 18 months; Lucy changes how you work with them), not a course (courses end; Lucy is integrated into your work), not a consultancy (consultants leave; the capability stays with your people), and not a model lab (models are commodities; the capability built to leverage them effectively is the asset).