Find the opportunity
Lucy identifies where AI could save time, improve thinking, increase quality, unlock creativity, or make previously impractical work possible.
AI coach for life and work
AI does not transform businesses. People transform businesses with AI.
Lucy helps people closest to the work, decision, or daily need turn their own context, creativity, and domain knowledge into AI-supported solutions.
She spots useful opportunities, connects them to the right tools and patterns, and coaches you through the build so the capability stays with you.
Lucy runs as a desktop app / desktop suite on your computer, working alongside the tools you already use.
Approved context
3 client meetings next week
Calendar + CRM signal
Better questions
Account history
Follow-up
Coach
Draft
Review
Save pattern
Try Lucy
Lucy
You have three client meetings next week. Want to see how AI could help with better questions, account-history review, prioritization, or follow-up material?
What Lucy is
Lucy is a personal AI coach, not a chatbot, course, or generic productivity tool.
Lucy helps people turn their own context, creativity, 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 people actually get done.
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.
Coach the pattern
Lucy helps decide where AI can help and choose the simplest useful pattern: thinking partner, research workflow, prompt pattern, agent, script, approved tool, or small app.
Build capability
Each useful win teaches the person 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.
See how Lucy works.Meeting prep walkthrough
The moment Lucy should feel useful.
Lucy does not have to start with automation. Sometimes the first win is better thinking: better questions, better context, better decisions, better tools, and a clearer path to a solution.
Approved contextCalendar + CRM summary
Tue 9:30
Harbor Ridge Capital
Discovery follow-up
Wed 13:00
Northstar Health
Renewal risk review
Lucy noticed
You have three client meetings next week. Want to see where AI could help?
Lucy spots a useful opportunity.
She starts from approved context and asks whether the person wants help with preparation, prioritization, follow-up, or better questions.
Tool mapApproved tools only
Copilot
Summarize what the company already knows.
- CRM notes
- Prior emails
- Last deck
ChatGPT
Generate and refine question options.
- Discovery angles
- Risks to probe
- Follow-up prompts
Review gate Human review before anything leaves the draft.
Lucy coaches the pattern, not just the task.
She explains why each tool fits, where the boundary is, and how the person should review the result.
Reusable capabilitySaved pattern
Meeting prep brief
Harbor Ridge Capital
Open question set: 8 options ranked by relevance.
ContextReady for review
CRMNotesDeckNews
Make this reusable?
We can build a meeting-prep agent later so the brief is ready before future calls.
The person leaves with the win and the path.
Lucy can save the pattern, propose automation later, or simply stop when the person says "not now."
Personalized coaching, not courses
The winners in the AI era will not have the largest models. They will have the most capable people.
Lucy builds capability through real work. People move from using AI as a smarter search engine to thinking with it, applying it to their domain, and building solutions.
The same AI tool gives different results in different hands. Lucy helps people bring the right context, questions, judgment, and review to the tools they already have.
Google Replacement
Draft, summarize, search, rewrite, repeat.
Thinking Partner
Explore tradeoffs before choosing a path.
Domain Usage
Apply AI to your real work.
Solution Builder
Build workflows others were waiting for.
Rung 2 is where many people start to feel real value. Rung 4 is where they stop waiting for someone else to build the thing they know should exist.
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, the person gains 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
The person learns 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 the person's voice, flags generic or risky claims, and queues messages for review.
iii. Capability and impact
The person learns 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
The person learns 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
The person learns 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. The person learns 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
The person learns 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.
The 80/20 reality
General tools solve the shared 20%. Lucy helps people solve their 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.
ChatGPT, Claude, Gemini, and Copilot are powerful tools for completing tasks. Enterprise systems like SAP, Salesforce, and ServiceNow are closer to packaged solutions. Both matter, but neither automatically solves the local 80%.
The harder opportunity is the work shaped by your context: existing business processes, undocumented workflows, unstructured data, cross-functional handoffs, team capacity constraints, the spreadsheet only one team understands, the report nobody likes rebuilding every quarter, the family calendar conflict, the compliance nuance, the partner who knows why one proposal closes and another stalls.
Shared 20%
Common problems many people have.
Solved well by general AI tools, enterprise platforms, SaaS, and templates when the problem is common.
Useful, scalable, worth respecting.
Specific 80%
Local problems shaped by existing processes, undocumented workflows, unstructured data, cross-functional visibility, team capacity, role, domain, constraints, and taste.
Solved by people who understand the work learning how to compose approved tools into just-in-time solutions.
Often too specific, messy, or local for a vendor roadmap.
Tool-first AI programs fail because tools do not change behavior by themselves. Trust, personal value, adoption, and capability come first.
Trust and boundaries
Trust starts with visible boundaries.
Lucy can only be useful if people trust her enough to let her help. That means the product has to show what Lucy can use, what she keeps, what she can do, what the user controls, and who else can see the results.
Lucy does not need unlimited access to private content to be useful. The product should distinguish between content a person creates, context Lucy can use with permission, and aggregate patterns leaders can see without exposing private prompts or private work feeds.
Visibility
You can see what Lucy captured, search it, redact it, export it, and understand why she made a recommendation.
Confidence
Sensitive data handling, approved context, audit logs, identity controls, retention rules, and security review belong in the product design.
Control
Scoped permissions, approval gates, pause, deletion, and review points keep the person doing the work in charge of what happens next.
Tool status
Approved Restricted BannedLucy only coaches with the approved set.
User controls
Captured Search Redact ExportThe person doing the work stays in control.
Manager view
Aggregate adoption Workflow patternsNot individual prompts, private content, or private work feeds.
Strongest fit
Context Digital information Human reviewUseful work shaped by boundaries people can see.
Stage and next action
Lucy Labs is early and building with design partners.
We are not pretending to be a mature enterprise suite. We are proving value in real work before commercial pricing is finalized.
Travis Sheppard founded Lucy Labs after 20+ years building and scaling transformation programs in environments where trust and execution mattered.
Design-partner phase, measured work value, active product development.
Transformation operator background, trust and execution orientation.
Start with one team, one baseline, and one set of work worth improving.
Find the first thing AI should 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.