Key takeaways
- Most AI waits for you to know what to ask. A coach helps you work out what AI solution to build for your problem.
- Lucy coaches you to build the solution yourself; she never does the work or acts on your systems.
- Enablement in the flow of work beats training: coaching lands at the moment of need and repeats until it is habit.
The most reliable new car
A retired semiconductor research executive, with decades in R&D and almost no prior use of AI, asked Lucy on our website to find him the most reliable new car. Any other assistant would have handed him a list. Lucy asked what reliable meant to him. His answer: total cost of ownership. Then how long he usually keeps a car, and whether he uses the dealer or does his own maintenance.
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Lucy“It walked me down this path that I knew, but I didn’t know.”
He is a family member of someone at Lucy Labs. We share his story because it captures what we hear again and again.
He recognized the process as the one he had used for years to coach university engineers on research problems.
What a coach does that an assistant doesn’t
| A typical assistant | A coach like Lucy | |
|---|---|---|
| Starts from | Your question | How you actually work |
| When she helps | When asked | When you ask today; offering help first is planned |
| First move | An answer | A question |
| Output | A finished task | A solution you built, and the skill to build the next one |
| After the chat | Nothing keeps running | What you built keeps working |
Coaching, not doing
That is the heart of the product. Lucy does not do the work for you. She coaches you to build the solution yourself: a better prompt, a workflow, a small agent, or something larger, matched to the shape of the problem. She explains why it works so you can do it again. You decide, design and direct; Lucy coaches; what you build does the work.
Our CFO put it from the other direction: general-purpose assistants “execute great tasks, but I had to come up with how to tell it. Lucy guides you through how to come up with the solution.”
Proactive, never pushy
Most of the day Lucy is a small, quiet icon. Today she coaches when you ask; proactive coaching, where she offers help first, is planned. “Maybe later” and “no” are as welcome as “yes,” cost nothing and are remembered. She doesn’t nag, re-ask or tell anyone. Before she teaches, she listens: a first conversation maps your work in your words, so the coaching fits your reality instead of a template.
What Lucy is not
- Not another AI tool. Tools keep changing; Lucy changes how you work with them.
- Not a course. Courses end; Lucy is part of your work.
- Not a consultancy. Consultants leave; the capability stays with your people.
- Not an AI model company. Models are commodities; the capability to use them well is the asset.
Enablement in the flow of work, not training
Companies face a bad choice today: pull people out of their jobs to learn AI and hope something sticks, or leave them to figure it out alone. Lucy removes the choice. Coaching happens on real work, at the moment of need, and repeats until the new behavior is a habit. Because AI tools change monthly, Lucy keeps the research burden off people too: she tracks the landscape and coaches what works now.
See it visually on Coaching in the flow of work.
Sources and notes
- Based on Lucy Labs’ internal product design (draft, October 2026).
Founder & CEO of Lucy Labs. Twenty years running enterprise transformation by hand in big tech and Global 2000 companies, now building it into software.
