F1
F1 · Frame
4-Week Plan Builder
Guided onboarding captures goal, training style, schedule, meals, and constraints. Gary uses this to build a real plan, not a generic template.
Consumer AI Product Case Study
Xecute Fitness
Turning fitness intent into a finished day through Gary, a calendar-first workflow, and private squad accountability.
Build the plan with Gary, run it from your calendar, repair what changes, and close the day with a clear X instead of another forgotten tracker. Xecute is a daily operating system for serious routines.
Role
Product Designer / Founder
Focus
Consumer mobile UX, Gary the AI coach, calendar-first workflow, private squads
Platform
Mobile app (iPhone live) + web
System
Gary, calendar, workouts, meal scan, reminders, progress, private squads
Status
Live in early access - get on xecutefitness.com
Product preview
What Xecute looks like, with Gary on board.
Why this project matters
From fitness intention to daily execution.
Most fitness apps track fragments. People do not fail because they lack goals - they fail because the plan is scattered, hard to follow, and impossible to repair when life changes. Xecute was designed around a simpler question: how does an app turn intent into a finished day, every day?
01
The Planning Problem
Users often know what they want but do not know how to turn that goal into a structured monthly plan.
02
The Consistency Problem
Motivation changes day to day, so the product needs to support routine, reminders, and recovery after missed days.
03
The Personalization Problem
Generic plans do not always match a user's schedule, fitness level, food habits, training style, or progress.
User and use case
Designed for people who need structure, accountability, and adaptation.
Primary Users
Everyday liftersPersonal trainersCoachesGym ownersPrivate squad membersCreatorsBrand or partner accounts
User goal
Turn a fitness goal into a structured routine with workouts, meals, reminders, notes, checklists, and progress tracking.
Pain Points
- Unsure what workout to do today
- Plans are too generic
- Meal tracking can feel annoying or time-consuming
- Missed days create guilt and confusion
- Calendar and workout tracking are disconnected
- Progress is hard to interpret
- Apps often track data but do not help users adjust behavior
Design principle
The interface should remove decision fatigue. The user should open the app and immediately understand what to do today, what is complete, what is missed, and what should change next.
The core workflow
The product workflow.
The workflow was designed to move users from goal setting to daily action without forcing them to build or interpret the plan manually.
UX challenge
The challenge was not tracking fitness. It was reducing decision fatigue.
Problem statement
Many fitness products give users tools, charts, exercise libraries, and tracking fields, but still leave them wondering what to do next. When users miss a day or lose momentum, the product often fails to guide them back into the routine.
Design goal
Create an experience that helps users answer:
- What is my goal?
- What is my plan this month?
- What do I need to do today?
- What have I completed?
- What did I miss?
- What should change next?
- How do I get back on track?
“The product wins when the user closes the day. Everything else - calendar, Gary, squads, scans - is in service of that one ritual: earn the X.”
Website build
The marketing site that ships the product.
Drag through the six core sections of the live xecute.fit marketing site: early access · daily operating system · calendar showcase · core system · meal scan · live sessions.
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Gary Plans and Repairs
Gary explains the plan, answers questions, and repairs the week when sessions are missed - moves work, compresses sessions, adjusts meals.
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Calendar that Leads
A today-first calendar surface for workouts, meals, and reminders. The app opens here, not a menu of disconnected trackers.
F4
F4 · Frame
Core System
Six layers that keep the user on track: Gary plans and repairs, a calendar that leads, nutrition with context, progress without clutter, private squads, sensitive tracking stays private.
F5
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Meal Scan with Gary
Camera-first meal scan where Gary reads the plate into calories and macros, with a contextual read on how it fits today's plan.
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Live Session + Earn the X
Friends and squads run a session together, upload proof, and close the day with a clear X. Gary watches the challenge and flags anything that needs more proof.
Drag or scroll6 frames
Final product experience
A mobile experience built around clarity, consistency, and action.
Mobile journey
One day, five steps. Goal to earned X.
The full daily loop: set the goal, build the plan with Gary, follow the calendar, adjust the day when life shifts, and close it with a hand-drawn X. The product wins when the user closes the day.
Mobile UI surfaces
Inside the app - the real shipped surfaces, not marketing.
Eight phone screens that show how the calendar, day card, Gary, meal scan, live sessions, progress, and competition fit together into one daily operating system.
Home
Today's plan, the day card, and Gary's next read in one scroll.
Hover to see live app
Calendar
The planning surface. Earned X days, planned days, and the next finishable action.
Hover to see live app
Day card
Workout, meals, supps, reminders, streak, and Gary's check-in - one screen per day.
Hover to see live app
Ask Gary
Voice or text coaching. Adjust the day, log meals, add work, merge buddy sessions.
Hover to see live app
Meal scan
Camera-first scan with Gary's eyes. Estimates stay editable before logging to the day.
Hover to see live app
Compete
Private squads, live sessions, verified proof. No noisy public feed.
Hover to see live app
Progress
Body trends, training rhythm, lift PRs, and consistency - tied to the plan.
Hover to see live app
Profile
Plan setup, training buddy, body composition, Gary voice, and membership.
Hover to see live app
Drag or scroll8 surfaces
Meet Gary
The AI coach with character - and a job.
Gary is the AI layer behind Xecute - a coach with a small character and a clear job: plan the week, repair it when life changes, read the plate, and keep the user pointed at the next finishable action. Gary does not sit in a separate chatbot tab. Gary is wired into the calendar, the day card, the meal scan, and live sessions.
01
Gary plans
Goal, training style, schedule, meals, and constraints become a structured 4-week plan that lives in the calendar.
02
Gary repairs
When sessions are missed, Gary moves work, compresses workouts, and adjusts meals - the week stays intact instead of restarting.
03
Gary reads the plate
Camera-first meal scan turns a photo into calories and macros, with Gary's read on how it fits the day's plan.
“Gary is not a gimmick mascot. Gary is the part of the product that turns intent into a finished day, even when life gets in the way.”
Where Gary could go next
Future AI directions, framed as opportunities.
These are not shipping promises. They are directions where Gary could strengthen onboarding, daily check-ins, and recovery without replacing the user's own judgment.
Design decisions
Key design decisions.
Before and after
Before: scattered habits. After: guided execution.
Before
- Goals stored in the user's head
- Workouts scattered across notes or apps
- Meal tracking disconnected from training
- No clear daily plan
- Missed days create confusion
- Progress is hard to interpret
- Generic plans do not adapt
- Motivation fades without structure
After
- Guided goal setup
- AI-generated monthly plan
- Calendar-based execution
- Simple daily action list
- Workout and meal support in one place
- Completion and missed-day tracking
- Adaptive AI coaching
- Progress connected to next steps
Relevance to consumer AI products
Why this matters for consumer product design.
Xecute is not only a fitness app concept. It is a consumer AI workflow designed to help people turn information into action. The same product design challenge appears across many consumer products: users need timely guidance, simple decisions, personalization, and confidence in what to do next.
This type of workflow thinking is relevant for products that rely on
PersonalizationAI assistanceCalendar-based planningDaily decision supportMobile-first UXHabit loopsNotificationsProgress trackingHuman controlAdaptive recommendations
Reflection
What I would carry forward.
The biggest lesson from Xecute is that AI is most useful when it supports the user's real behavior. A product should not only generate a plan. It should help users execute, recover from missed days, understand progress, and adapt over time. For consumer products, trust comes from clarity, consistency, and guidance that feels useful in the moment.
AI should support behavior, not just generate output.
A strong AI product helps users act, adjust, and stay consistent.
The daily view is where the product wins.
Consumer apps need to make the next action obvious and easy.
Personalization needs structure.
Users need flexible guidance, but the interface still has to feel simple and controlled.
Designed for daily execution
Designed for daily execution.
Xecute is the kind of product work I enjoy most: consumer AI with character (Gary), a calendar-first mobile experience, private accountability, and a daily ritual that turns intent into a clear finish line - the X.