Lucy · Meeting prepBeat 1 of 12
Current goalMeeting prep · Acme renewalRead-only context · human review on output
AI coach for life and work
AI does not transform businesses. People transform businesses with AI.
Lucy helps you turn your own context, creativity, lived experience, and domain knowledge into AI-supported solutions for the work, decisions, and daily needs already in front of you.
She spots useful opportunities, connects them to the right tools and patterns, and coaches you through building your perfect solution yourself so the capability stays with you.
Lucy is the missing link between the people doing the work and the AI tools that could revolutionize it. She is a cloud-backed desktop AI coaching suite that lives in the flow of your work, mapping your tasks to the latest approved tools, practical AI skills, and knowledge while you stay in control.
Closing the gap between AI investment and human capability — one workflow at a time.
Mon Apr 27 · 9:42 AMWhat Lucy is
Lucy is a personal AI coach, not a chatbot, course, or generic productivity tool.
Lucy helps you turn your own context, creativity, lived experience, and domain knowledge into useful AI-supported solutions for life and work.
Lucy is the missing link between AI capability and useful human value: between what the models can do and what you actually get done.
Solutions are desired continuous states (I want to always be prepared for meetings) — not one-off tasks (I need to prepare for this meeting). Solutions could be bounded, trustworthy agents or agentic workflows (preferred), simple prompts, coached workflows, AI-assisted research, automatons, scripts, or custom software.
Lucy is
- A coach that identifies useful AI opportunities.
- Personalized to your context, goals, and constraints.
- Focused on capability through real use.
- A guide to tools, patterns, agents, workflows, scripts, and small solutions.
- Built around permission, boundaries, and human review.
Lucy is not
- A chatbot waiting for prompts.
- Generic AI tips for everyone.
- A training course you forget.
- Another tool you have to figure out alone.
- A magic automation layer that replaces judgment.
Find the opportunity
Lucy identifies where AI could save time, improve thinking, increase quality, unlock creativity, or make previously impractical work possible.
Coach the pattern
Lucy helps choose the simplest useful pattern: thinking partner, research workflow, prompt pattern, agent, script, approved tool, or small app.
Build capability
Each useful win teaches you how to see and shape the next opportunity.
Lucy stays current with new AI tools, techniques, and workflow patterns, then maps what works now to your role, constraints, and approved tools.
Lucy coaches. You keep the capability.
The two-hour build above is what coaching toward an AI-supported solution actually looks like. Lucy doesn't run your work or write it for you — she helps you turn the repeat work on your plate into a solution the right tool can handle, while every decision that matters stays with you.
Time on the work that needs you
Reviewable briefs replace 30-minute prep sessions — Tom recovers about 280 hours a year. The same pattern fits decision prep, account research, status reports, weekly planning, anywhere context-gathering eats time you'd rather spend with people, customers, or ideas.
Capability that travels with you
Tom didn't just save hours — he learned the pattern. Next time a repeat task lands on his plate, he knows what shape of solution it wants and how to coach it into existence. That capability moves with him to his next role, his next employer, and the next AI model generation.
Read-only by default. Reversible by design.
Every connection Jerry made to Salesforce, Gmail, Calendar, and LinkedIn was read-only. The brief landed in a private DM as a draft. Scheduling stayed off until Tom decided otherwise. Lucy coaches; you build; the agent runs only inside the boundary you set.
This is the smallest useful version. The compounding version is when the next person on the team builds their own — patterns spread bottom-up, capability stays with the people doing the work.
How Lucy works
Behavior change happens in a specific sequence. Skip a step and the rest collapses.
Twenty years of transformation experience, codified into product. Lucy delivers each stage through continuous, contextual coaching in the flow of real work.
Trust
Earn permission to help. Listen first; understand workflows before suggesting.
Personal value
Quick wins from the work already on your plate. Day-15 personalized capability roadmap.
Adoption
Adaptive coaching modes turn small wins into reliable habits.
Capability
You become a solution builder for your own real work. Capability stays with you.
Scale
Patterns that worked spread bottom-up — never mandated. Visible to leaders, never as surveillance.
Skip trust and your teams avoid the system. Skip personal value and adoption becomes theater. Skip capability and wins do not compound. Skip measurement and leadership cannot decide where to reinvest.
See how Lucy works.Capability in the wild
What "solution builder" looks like in practice.
Pick the example closest to your work. The work examples show the same pattern: Lucy identifies the opportunity, coaches the AI-enabled solution, you gain a reusable capability, and the business can see quantified impact.
i. Today
Customer prep is scattered across account history, notes, decks, emails, and news. Some meetings get shallow prep because the context hunt takes too long.
ii. Lucy identifies
Account-facing employees are spending 20-30 minutes per important meeting gathering context before they can think about strategy. Lucy maps approved tools to the task and coaches a reviewable meeting-prep workflow.
iii. Capability and impact
You learn to separate context retrieval from judgment, choose the right approved tool, and save the pattern. In a modeled 30-person team, reducing prep from 25-30 minutes to 8-12 minutes can return about 50-80 hours/week.
account briefSource-visible
Harbor Ridge Capital - Discovery 2
CRMLast deckNotesNews
SourcesCRM · last deck · notes · approved news summary
Open questionsData residency, procurement concern, new CCO priority, unclear expansion path.
ReviewHuman confirms what matters before the brief shapes the meeting.
TrackMeeting-to-next-step rateFollow-up speedRisks surfaced before call
i. Today
SDRs know better outreach needs customer research, a relevant reason to reach out, and a message that sounds human. At scale, teams trade quality for volume or volume for quality.
ii. Lucy coaches
Lucy helps build a workflow that pulls approved account signals, suggests an angle, drafts in your voice, flags generic or risky claims, and queues messages for review.
iii. Capability and impact
You learn to turn account context into a real reason to reach out, preserve human review, and avoid fake personalization. Modeled teams can either increase reviewed touches or shift hundreds of hours into follow-up and testing.
draft queueNeeds review
9 personalized drafts waiting
SignalMeridian announced a condensed quarterly reporting cycle.
AngleReference advisor-level reconciliation pain from prior call.
GuardrailFlag generic claims, unsupported promises, and risky personalization before send.
Hi Jordan,
Saw Meridian's note about condensing the quarterly cycle. You mentioned last spring that advisor-level reconciliation was the time sink. Worth comparing notes?
Saw Meridian's note about condensing the quarterly cycle. You mentioned last spring that advisor-level reconciliation was the time sink. Worth comparing notes?
i. Today
Every proposal requires discovery notes, pricing, approach language, proof, and deck assembly. Selling time gets consumed by repeatable assembly before strategy can start.
ii. Lucy coaches
Lucy helps build a proposal manager that assembles standard pieces and flags where human voice, pricing, or client-specific proof is needed.
iii. Capability and impact
You learn a reusable proposal pattern with source boundaries and pricing confirmation. In a modeled 15-person team, reducing first-draft assembly from 3-4 hours to 75-120 minutes can save about 600-1,000 hours/year.
proposal managerassembled · review needed
Meridian Partners - Advisory proposal
i. Today
A messy decision has scattered evidence, unclear tradeoffs, undocumented assumptions, and pressure to move quickly.
ii. Lucy coaches
Lucy helps build a decision brief with options, assumptions, risks, evidence, dissenting arguments, and open questions.
iii. Capability and impact
You learn how to use AI to improve judgment without outsourcing the decision. The business tracks decision cycle time, reopened decisions, escalation rate, owner clarity, assumptions captured, and risks surfaced before commitment.
decision briefHuman owns decision
Renewal-risk response options
Option AOption BOption C
Upside
Fast
Balanced
Highest trust
RiskThin proof
More work
Slower
Open questionBudget
Owner
Timeline
DissentWhat would have to be true for the preferred option to be wrong?
i. Today
School calendars, sports schedules, work calendars, appointments, and household tasks conflict every week.
ii. Lucy coaches
Lucy helps design a private weekly coordination workflow that checks approved calendars, drafts pickup/drop-off options for review, syncs family calendars, and sends reminders for those who want them.
iii. Personal value only
This does not become employer ROI or a business dashboard moment. You learn a private life-admin workflow with approvals, sensitive-context boundaries, and human responsibility intact.
weekly logisticsPrivate
Next week coordination brief
ConflictSoccer pickup overlaps dentist appointment by 20 minutes.
OptionAsk Sam for pickup; move grocery delivery; send reminder Sunday.
i. Today
A mechanic, contractor, nurse, or field worker has physical work surrounded by digital friction: manuals, notes, customer communication, estimates, checklists, invoices, and after-action notes.
ii. Lucy identifies
The physical task is not the automation target. The opportunity is the digital support layer around the skilled work.
iii. Capability and impact
You learn to search trusted sources, ask better diagnostic questions, capture notes by voice, and prepare customer-ready summaries. The business tracks same-day closeout, missing-note rate, billing lag, repeat clarification calls, and knowledge captured from the field.
field helperCraft stays human
Diagnostic and documentation support
Voice note"Unit cycles twice, error E42, customer reports intermittent failure."
ManualTrusted source result: E42 commonly follows restricted intake or sensor mismatch.
DraftCustomer-ready summary and checklist for review before closeout.
Modeled examples, not guarantees. Work examples assume a 25-50 person representative team in a larger company and must be replaced by measured pilot baselines. Family logistics is personal value only; hands-on support measures the digital layer around skilled work.
See all six archetypes in depth.Why now / Why Lucy Labs
The cost of execution just collapsed. The way most organizations buy AI hasn't caught up yet.
Four conditions converged that make personalized AI coaching at scale possible — and that make this the right moment to operationalize the sequence transformation actually requires.
Personalized AI coaching at scale is now possible
Lucy lives on the desktop as a small quiet icon — sees the work, the context, the patterns the cloud SaaS layer cannot reach. Modern model capability + desktop architecture = per-person coaching that wasn't economically possible until now.
The cost of execution has collapsed
Code generation, multimodal AI, verification loops, and agent runtimes all crossed practical thresholds in 2024–25. A working agent in a few-hour Lucy session — what used to need a dev team and months.
Domain expertise was never the blocker
Doctors know what their patients need; compliance officers understand regulatory nuance no SaaS can encode; logistics managers can draw warehouse routing on a whiteboard. Until now that knowledge was bottlenecked at the cost of execution between knowing-the-work and building-the-solution.
Twenty years of pattern, codified
Travis ran the Evolutionary Framework in human-only mode for 20 years at Virtustream ($0→$50M ARR; Dell $1.3B acquisition) and Zscaler ($98M ARR at 25× ROI). Lucy is the AI-native version of that operating model — built because it was the system he wished he'd had himself, and he knew he wasn't alone.
General tools solve the shared 20%. Lucy helps you solve your unique 80%.
Big software platforms, packaged SaaS products, and general AI tools are valuable because they solve broad problems many people share. Keep using them.
Shared 20%
Common problems many people have, solved well by general AI tools, enterprise platforms, SaaS, and templates.
Specific 80%
Local problems shaped by existing processes, undocumented workflows, unstructured data, cross-functional handoffs, constraints, and taste.
Tool-first AI programs fail because tools do not change behavior by themselves. Trust, personal value, adoption, and capability come first.
Trust starts with visible boundaries.
Lucy can only be useful if you trust her enough to let her help. Privacy is not a setting; it is the architecture.
Visibility
You can see what Lucy captured, search it, redact it, and understand why she made a recommendation. Lucy explains, never obscures.
Confidence
Permissioned context use. Read-only by default. GDPR-compliant by design. Lucy meets EU AI Act deployer obligations structurally — not bolted on.
Control
Lucy keeps you in control. Pause anytime — one click stops all collection. Disable content retention. Redact by keyword or time window. Request full deletion within 7 days. Export your full data anytime.
Managers never see individual work performance, AI conversations, or content; aggregate team metrics only, gated by minimum team size. Opt-in for any individual solution sharing, recognition, and leaderboards.
Read trust and controls.Our mission
Enable every person on Earth to leverage AI to solve problems and improve their daily life, driving toward a healthier, happier, more equitable society.
Lucy Labs assumes the human is the value, the AI is the tool, and Lucy is the unlock.
We're in design-partner development. Some capabilities shown or described are planned, in active development, or pilot-scope dependent. Examples are illustrative and may change as Lucy is built with design partners. We are not pretending to be a mature enterprise suite.
Travis Sheppard founded Lucy Labs after 20+ years building and scaling transformation programs at Virtustream ($0→$50M ARR; Dell $1.3B acquisition) and Zscaler ($98M ARR at 25× ROI), where trust and execution mattered most.
Design-partner stageBehavior-first measurementActive product development4–6 weeks · 10–50 people · no cost
Find the first thing AI can help you improve.
Start with a task, decision, project, or idea. Lucy will help you identify the opportunity, decide whether AI can help, choose the right kind of solution, and find the first safe step.
Want to read more before talking to anyone? See the blog. Curious what a design-partner engagement looks like? See the Design Partners page. Want to build Lucy with us, not buy from us? See the Talent page.