UI/UX DESIGN · AI PRODUCT
PawPilot
PawPilot
A calm, caring AI system for whole-pet health — multi-species, monitored daily, vet-ready when it matters.
A calm, caring AI system for whole-pet health — multi-species, monitored daily, vet-ready when it matters.
ROLE
Vibe Coding
UI/UX Design
Research
Prototyping
TIMELINE
Jan 2026
—
Apr 2026
BACKGROUND
Case Study
Personal Project
UI/UX Thinking
01 OVERVIEW
A connected health system, not a one-time search.
PawPilot is a multi-species AI pet health companion. It guides owners through symptom triage with calm, structured questions; builds a daily baseline from logs and smart-device signals; and turns scattered observations into a vet-ready report — so the moment something feels off, the next step is already clear.
PawPilot is a multi-species AI pet health companion. It guides owners through symptom triage with calm, structured questions; builds a daily baseline from logs and smart-device signals; and turns scattered observations into a vet-ready report — so the moment something feels off, the next step is already clear.
02 PROBLEM STATEMENT
Pet care today is fragmented, reactive, and built mostly for dogs and cats.
Across four very real moments — confusion, scattered records, underserved species, and isolated device data — owners are left to assemble the picture themselves, usually after something has already gone wrong.
01
Owners often Google symptoms or wait too long, unsure whether what they're seeing warrants a vet visit.
Owners often Google symptoms or wait too long, unsure whether what they're seeing warrants a vet visit.
02
Vaccine pictures, vet notes, and feeding routines live across photos, notes, and chat threads.
Vaccine pictures, vet notes, and feeding routines live across photos, notes, and chat threads.
Birds, reptiles, fish, and exotic pets need different care logic, but most apps focus on cats and dogs.
Birds, reptiles, fish, and exotic pets need different care logic, but most apps focus on cats and dogs.
03
Feeders, litter boxes, activity trackers, and environment sensors often live in separate apps.
Feeders, litter boxes, activity trackers, and environment sensors often live in separate apps.
04
OPPORTUNITY
What if pet health became a connected system, instead of a one-time search?
What if pet health became a connected system, instead of a one-time search?
01-GUIDE
01-GUIDE
Walk owners through safe, structured decisions when symptoms show up.
Walk owners through safe, structured decisions when symptoms show up.
02-BASELINE
02-BASELINE
Build a daily health baseline so changes are noticed before they escalate.
Build a daily health baseline so changes are noticed before they escalate.
03-CONNECT
03-CONNECT
Build a daily health baseline so changes are noticed before they escalate.
Pull in real-world signals from devices, photos, and routines into one view.
03 TARGET USER
For owners who need structure, not just advice.
PawPilot is especially useful in the moments where care gets complicated — multiple pets, unusual species, or smart devices that don't talk to each other.
People with a single dog or cat who need help understanding symptoms and daily health changes — without needing a vet for every question.
Owners managing several animals at once who need separate profiles, reminders, and records so nothing slips through the cracks.
Owners of birds, reptiles, fish, small mammals, amphibians, and exotic pets — who currently rely on forums and Discord because no app speaks their species.
People who already use feeders, fountains, litter boxes, sensors, or activity trackers — but whose data lives in five different apps that never talk to each other.
04 THE PRODUCT
A multi-species AI pet health companion.
Four core functions, tuned to the moment owners actually need them — calm enough to use daily, structured enough to trust in an emergency.
AI Symptom Check
A guided triage chat feature that assists pet owners in describing observed symptoms and recommends suitable actions.
CHAT & ACTION
>
Daily Health Tracking
Daily notes on pet's appetite, hydration, elimination, and behavior, then gradually establish baseline health data.
MONITORING
>
Smart Device Hub
Feeders, fountains, litter trackers, environment sensors — read together, not separately. Monitor pets' status in real time.
MONITORING
>
Vet-Ready Report
The owner’s logs, photos, and data—compiled into a PDF allow the veterinarian to review the situation and provide appropriate care.
CHAT & ACTION
>
05 SYSTEM FLOW
Four moments, one loop.
Daily tracking feeds detection. Detection triggers action. Action loops back into follow-up — and the baseline learns. The whole system is a quiet rhythm, not a one-time tool.
FEAUTRE 1: MULTI-SPECIES SUPPORT
Care logic that fits the animal.
A bird, a reptile, and a hamster can't be triaged with the same symptoms, follow-up questions, or warning signs. Species Packs make the system actually usable for the real world of pet ownership.
Every pet gets a structured profile from day one. Basic info, photos, vaccines, and a baseline that the app keeps learning from — the foundation for everything downstream.
Plug-in care logic per species. PawPilot adjusts symptom trees, normal ranges, and red flags based on your pet's profile — automatically, without you re-teaching the app.
Every pet gets a structured profile from day one. Basic info, photos, vaccines, and a baseline that the app keeps learning from — the foundation for everything downstream.
Every pet gets a structured profile from day one. Basic info, photos, vaccines, and a baseline that the app keeps learning from — the foundation for everything downstream.
Plug-in care logic per species. PawPilot adjusts symptom trees, normal ranges, and red flags based on your pet's profile — automatically, without you re-teaching the app.
Every pet gets a structured profile from day one. Basic info, photos, vaccines, and a baseline that the app keeps learning from — the foundation for everything downstream.
WHY IT MATTERS
Most pet apps are built for dogs and cats. Real pet care is much broader.
A bird, a reptile, and a hamster cannot be assessed using the same symptoms, follow-up questions, or warning signs.
They allow PawPilot to adjust key metrics, red flags, and care logic based on the type of animal.
Without a structured pet profile, the app cannot personalize tracking, device interpretation, or symptom triage.
Internet growth has sparked interest in non-traditional animals — we have to meet this demand.
FEAUTRE 2: MONITORING - DIGITAL TWIN
Figure out what's normal — before things get messy.
PawPilot isn't just for emergencies. Daily logs and connected devices teach the app what "normal" looks like for this animal, so small drifts get caught early, not after they spiral.
Feeders, fountains, litter trackers, and environment sensors reconcile against the same baseline — so changes get caught earlier than memory ever could.
Connected devices detect unusual changes against each pet’s baseline and notify owners early. PawPilot explains what changed and possible causes, helping users respond quickly and seek appropriate care.
PawPilot tracks each pet’s daily health signals and compares them with their baseline, helping owners spot changes early.
Feeders, fountains, litter trackers, and environment sensors reconcile against the same baseline — so changes get caught earlier than memory ever could.
Connected devices detect unusual changes against each pet’s baseline and notify owners early. PawPilot explains what changed and possible causes, helping users respond quickly and seek appropriate care.
PawPilot tracks each pet’s daily health signals and compares them with their baseline, helping owners spot changes early.
WHY IT MATTERS
PawPilot isn't just for emergencies. It helps figure out what's normal before things get messy.
Daily logs and device data help PawPilot learn each pet's baseline over time.
Instead of isolated numbers, the system compares appetite, water, activity, waste, and environment against the pet's usual behavior.
By connecting smart devices, PawPilot can move beyond manual input and catch changes earlier.
Everyday devices help identify the causes of pets' illnesses more accurately and quickly.
FEAUTRE 3: CHAT & ACTION
Guided triage — not just chatbot replies.
Owners don't just need information; they need help deciding what to do next. Symptom Triage walks them through urgency, possible causes, and next steps — then bundles everything into a Vet-Ready Report.
Species-aware questions combine owner observations with profile and device data to assess urgency, identify possible causes, and guide the safest next step.
Owner observations, logs, photos, and device data are packaged into one structured PDF — a summary the clinic can actually read in the exam room.
Provide users with the fastest vet best suited to their pet's condition and schedule an appointment. Help users treat their pets' illnesses more effectively and quickly
Species-aware questions combine owner observations with profile and device data to assess urgency, identify possible causes, and guide the safest next step.
Owner observations, logs, photos, and device data are packaged into one structured PDF — a summary the clinic can actually read in the exam room.
Provide users with the fastest vet best suited to their pet's condition and schedule an appointment. Help users treat their pets' illnesses more effectively and quickly
WHY IT MATTERS
Pet owners don't just need information — they need help deciding what to do next.
The goal is to help owners understand urgency, possible causes, and what to do next.
Instead of guessing or searching online, owners get a clear path — monitor, prepare for a visit, or seek emergency care.
It turns scattered symptoms, logs, media, and device signals into a structured summary the clinic can use immediately.
Pets can be in worse condition than owners realize — early structured action matters.
07 USER RESEARCH
What do owners actually need from a pet health app?
To get a wider perspective, I spoke with pet owners across very different situations — first-time dog parents, multi-pet households, non-traditional pets keepers, and people already using smart feeders or fountains. I wanted to hear how each of them thinks about their pet's health, and where existing tools let them down.
METHOD
Owner interviews · 30–60 min
Owner interviews · 30–60 min
SPECIES COVERED
Dog, cat, rabbit, hamster, gecko, parrot, fish
Dog, cat, rabbit, hamster, gecko, parrot, fish
SURVEY RESPONSES
Online questionnaire · pet owner forums
Online questionnaire · pet owner forums
EXPERT TALKS
Practicing veterinarians, exploratory
Practicing veterinarians, exploratory
User Interview
These conversations exposed three recurring gaps: Species support, connected device data, and clear coordination across a multi-pet household.
Hamster OwnerNew Pet Owner“Whenever my hamster acts differently, I don’t know if it’s something serious or just normal behavior. There aren’t many reliable resources for small animals.
Golden RetrieverUsing Smart Device“I already own several smart pet devices, but they all run on different apps. This makes them very inconvenient to use.
2 Dogs, 1 CatMulti-Pet Owner“Managing one pet is easy. Managing three is completely different. I always forget who took medicine, who skipped breakfast or who is sick.
Hamster OwnerNew Pet Owner“Whenever my hamster acts differently, I don’t know if it’s something serious or just normal behavior. There aren’t many reliable resources for small animals.
Golden RetrieverUsing Smart Device“I already own several smart pet devices, but they all run on different apps. This makes them very inconvenient to use.
2 Dogs, 1 CatMulti-Pet Owner“Managing one pet is easy. Managing three is completely different. I always forget who took medicine, who skipped breakfast or who is sick.
Four insights that shaped PawPilot
Pet owners often feel inundated by the vast information available online. Instead of another platform for symptom searches, they require clear guidance that highlights key concerns and actionable steps.
We need to turn confusing symptoms into clear next steps with trustworthy guidance.
Taking care of a pet involves many small daily actions — feeding, medication, behavior changes, vet visits—but owners rarely have a complete picture of their pet’s health.
We need to connect daily observations into meaningful patterns over time.
Owners of non-traditional pets frequently develop expertise in their animals, as conventional pet resources often fail to comprehend the distinct behaviors and requirements of these unique creatures.
We need intelligence tailored to each species, not one-size-fits-all.
Pet owners who possess smart pet devices prefer not to have additional dashboards. Instead, they seek technology that intuitively comprehends their pets and notifies them of significant changes.
We need AI to transform device data into proactive health insights.
Pet owners often feel inundated by the vast information available online. Instead of another platform for symptom searches, they require clear guidance that highlights key concerns and actionable steps.
We need to turn confusing symptoms into clear next steps with trustworthy guidance.
Taking care of a pet involves many small daily actions — feeding, medication, behavior changes, vet visits—but owners rarely have a complete picture of their pet’s health.
We need to connect daily observations into meaningful patterns over time.
Owners of non-traditional pets frequently develop expertise in their animals, as conventional pet resources often fail to comprehend the distinct behaviors and requirements of these unique creatures.
We need intelligence tailored to each species, not one-size-fits-all.
Pet owners who possess smart pet devices prefer not to have additional dashboards. Instead, they seek technology that intuitively comprehends their pets and notifies them of significant changes.
We need AI to transform device data into proactive health insights.
User Journey map
Emily, 24 · hamster owner. From a frightening symptom to recovery. One episode of diarrhea becomes a guided path from panic to treatment, recovery and prevention.
Emily considers her hamster’s appetite, hydration, and activity levels, but she's unsure if her symptoms require immediate attention.
Following a thorough analysis of the feeding and water data, PawPilot has identified an overconsumption of fruit as the probable cause.
Emily follows immediate care guidance, monitors the hamster, then uses the Vet Report and nearby hospital route to get professional treatment.
After treatment, Emily records medicine, stool, appetite and water, using daily check-ins to prevent another episode.
Starts an urgent diarrhea flow from the hamster profile.
Asks step by step, reviews feeder/water data, then identifies excess fruit as the likely cause.
Gives urgent care steps and red flags; creates a Vet Report and nearby hospital address.
Tracks recovery, reminders, diet and baseline.
Emily considers her hamster’s appetite, hydration, and activity levels, but she's unsure if her symptoms require immediate attention.
Starts an urgent diarrhea flow from the hamster profile.
Following a thorough analysis of the feeding and water data, PawPilot has identified an overconsumption of fruit as the probable cause.
Asks step by step, reviews feeder/water data, then identifies excess fruit as the likely cause.
Emily follows immediate care guidance, monitors the hamster, then uses the Vet Report and nearby hospital route to get professional treatment.
Gives urgent care steps and red flags; creates a Vet Report and nearby hospital address.
After treatment, Emily records medicine, stool, appetite and water, using daily check-ins to prevent another episode.
Tracks recovery, reminders, diet and baseline.
Emily considers her hamster’s appetite, hydration, and activity levels, but she's unsure if her symptoms require immediate attention.
Following a thorough analysis of the feeding and water data, PawPilot has identified an overconsumption of fruit as the probable cause.
Emily follows immediate care guidance, monitors the hamster, then uses the Vet Report and nearby hospital route to get professional treatment.
After treatment, Emily records medicine, stool, appetite and water, using daily check-ins to prevent another episode.
Starts an urgent diarrhea flow from the hamster profile.
Asks step by step, reviews feeder/water data, then identifies excess fruit as the likely cause.
Gives urgent care steps and red flags; creates a Vet Report and nearby hospital address.
Tracks recovery, reminders, diet and baseline.
Emily considers her hamster’s appetite, hydration, and activity levels, but she's unsure if her symptoms require immediate attention.
Starts an urgent diarrhea flow from the hamster profile.
Following a thorough analysis of the feeding and water data, PawPilot has identified an overconsumption of fruit as the probable cause.
Asks step by step, reviews feeder/water data, then identifies excess fruit as the likely cause.
Emily follows immediate care guidance, monitors the hamster, then uses the Vet Report and nearby hospital route to get professional treatment.
Gives urgent care steps and red flags; creates a Vet Report and nearby hospital address.
After treatment, Emily records medicine, stool, appetite and water, using daily check-ins to prevent another episode.
Tracks recovery, reminders, diet and baseline.
08 MARKET RESEARCH
Where PawPilot sits in the pet-tech landscape.
Pet-tech today splits into three categories — and each leaves a gap that becomes clearer when you look at them side by side. PawPilot's position is the one nobody's filling: a system, not another tool.
CATEGORY A
Vaccination reminders, weight logs, light social features. Dog- and cat-centric.
Vaccination reminders, weight logs, light social features. Dog- and cat-centric.
Dog/cat only
Dog/cat only
No baseline/pattern detection
No baseline/pattern detection
No device integration
No device integration
Reactive, not preventive
Reactive, not preventive
CATEGORY B
Pay-per-consult video chat with a vet. Useful, but only after something has already escalated.
Pay-per-consult video chat with a vet. Useful, but only after something has already escalated.
Expensive per use ($30–80)
Expensive per use ($30–80)
Owners must already know it's serious.
Owners must already know it's serious.
No daily continuity
No daily continuity
No data handoff to in-person vet
No data handoff to in-person vet
CATEGORY C
Single-purpose apps tied to a feeder, fountain, litter box, or activity collar.
Single-purpose apps tied to a feeder, fountain, litter box, or activity collar.
Locked to one brand / device
Locked to one brand / device
Data silos — no cross-signal view
Data silos — no cross-signal view
No symptom intelligence
No symptom intelligence
Owner has to be the integrator
Owner has to be the integrator
POSITIONING
PawPilot — a connected pet-health system.
Between general apps and emergency vet calls. Between siloed devices and personal memory. A daily baseline, multi-species care logic, and a structured handoff to professionals when it matters.
Multi-species
Species Packs, not just dog/cat
Baseline-driven
Digital Twin per pet
Device-agnostic
Hub for existing hardware
Vet-ready
Structured handoff PDF
09 DESIGN LANGUAGE
A warm cream canvas with a mint health signal.
Neutral cream sets the emotional tone — calm, never clinical. Mint green is reserved for primary action and healthy states. Semantic color escalates gracefully: monitor → urgent → emergency.
COLOR SYSTEM
#4EB589
CTA, active, healthy
#FEF7F0
App Background
#2D2D2D
Primary text, nav
#F2A93B
Action needed soon
#EAF7F0
Accent surfaces, tags
#E8614B
Contact vet immediately
TYPOGRAPHY
10 PROCESS
How I used AI tools to turn an initial idea into a working product concept.
PawPilot started as a sketch in a notebook. Six steps later, it became a real product concept — by treating AI tools not as a shortcut, but as collaborators at each stage of the workflow.
01
Started from real frustrations as a pet owner — mapped current gaps in pet apps, vet workflows, and smart devices into one problem space.
Started from real frustrations as a pet owner — mapped current gaps in pet apps, vet workflows, and smart devices into one problem space.
02
Used ChatGPT as a thinking partner to widen scope — explore non-traditional species, surface care-logic differences, and pressure-test feature scope.
Used ChatGPT as a thinking partner to widen scope — explore non-traditional species, surface care-logic differences, and pressure-test feature scope.
03
Wrote disciplined prompts for baseline detection, and vet-report generation — the foundation for how the AI should "talk" inside product.
Wrote disciplined prompts for baseline detection, and vet-report generation — the foundation for how the AI should "talk" inside product.
04
Generated the first end-to-end flow inside Figma Make — onboarding, dashboard, triage chat, vet report — to feel the rhythm before drawing pixels.
Generated the first end-to-end flow inside Figma Make — onboarding, dashboard, triage chat, vet report — to feel the rhythm before drawing pixels.
05
Looped between the prototype and AI critique — copy tone, decision points, info density. Cut anything that felt theatrical or clinical.
Looped between the prototype and AI critique — copy tone, decision points, info density. Cut anything that felt theatrical or clinical.
06
Replaced AI-generated styles with the cream/mint design language — structured cards, and a single mint health signal across the system.
Replaced AI-generated styles with the cream/mint design language — structured cards, and a single mint health signal across the system.
11 FUTURE POSSIBILITIES
What could PawPilot become next?
From a personal companion to a connected care network. Four horizons stretch PawPilot beyond the current prototype — each one builds on the last.
01
What if every smart pet device — feeders, fountains, litter trackers, environment sensors — shared the same baseline?
More smart-module support could feed the Digital Twin automatically. The app would shift from manual logs to passive listening — and notice things before the owner does.
02
What if the Vet-Ready Report wasn't a one-way PDF, but a two-way conversation with clinics?
Visit summaries, medication tracking, follow-up workflows — the app could quietly handle the in-between, so home and clinic stay on the same page.
03
What if caring for a pet was something a household did together, not something one person carried alone?
Family members, pet sitters, vet techs — all sharing one record, with notes and reminders routed to whoever's actually with the pet that day.
04
What if the Digital Twin learned enough about one specific animal to predict before it observes?
Personal baseline, owner-tuned sensitivity, predictive flags for chronic-condition risk — calm on quiet days, loud only when something genuinely shifts.
A calm, caring AI system for whole-pet health — multi-species, monitored daily, vet-ready when it matters.
PawPilot is a multi-species AI pet health companion. It guides owners through symptom triage with calm, structured questions; builds a daily baseline from logs and smart-device signals; and turns scattered observations into a vet-ready report — so the moment something feels off, the next step is already clear.
Owners often Google symptoms or wait too long, unsure whether what they're seeing warrants a vet visit.
Vaccine pictures, vet notes, and feeding routines live across photos, notes, and chat threads.
Birds, reptiles, fish, and exotic pets need different care logic, but most apps focus on cats and dogs.
Feeders, litter boxes, activity trackers, and environment sensors often live in separate apps.
Walk owners through safe, structured decisions when symptoms show up.
Build a daily health baseline so changes are noticed before they escalate.
Pull in real-world signals from devices, photos, and routines into one view.
PawPilot is especially useful in the moments where care gets complicated — multiple pets, unusual species, or smart devices that don't talk to each other.
People with a single dog or cat who need help understanding symptoms and daily health changes — without needing a vet for every question.
Owners managing several animals at once who need separate profiles, reminders, and records so nothing slips through the cracks.
Owners of birds, reptiles, fish, small mammals, amphibians, and exotic pets — who currently rely on forums and Discord because no app speaks their species.
People who already use feeders, fountains, litter boxes, sensors, or activity trackers — but whose data lives in five different apps that never talk to each other.
Four core functions, tuned to the moment owners actually need them — calm enough to use daily, structured enough to trust in an emergency.
A guided triage chat that helps owners describe what they're seeing — and what to do next.
Lightweight logs for appetite, water, waste, and behavior — turned into a quiet baseline over time.
Feeders, fountains, litter trackers, environment sensors — read together, not separately.
Owner observations, logs, photos, and device data — packaged for a clinic in one structured PDF.
A bird, a reptile, and a hamster can't be triaged with the same symptoms, follow-up questions, or warning signs. Species Packs make the system actually usable for the real world of pet ownership.
Every pet gets a structured profile from day one. Basic info, photos, vaccines, and a baseline that the app keeps learning from — the foundation for everything downstream.
Plug-in care logic per species. PawPilot adjusts symptom trees, normal ranges, and red flags based on your pet's profile — automatically, without you re-teaching the app.
Every pet gets a structured profile from day one. Basic info, photos, vaccines, and a baseline that the app keeps learning from — the foundation for everything downstream.
A bird, a reptile, and a hamster cannot be assessed using the same symptoms, follow-up questions, or warning signs.
They allow PawPilot to adjust key metrics, red flags, and care logic based on the type of animal.
Without a structured pet profile, the app cannot personalize tracking, device interpretation, or symptom triage.
Internet growth has sparked interest in non-traditional animals — we have to meet this demand.
PawPilot isn't just for emergencies. Daily logs and connected devices teach the app what "normal" looks like for this animal, so small drifts get caught early, not after they spiral.
Feeders, fountains, litter trackers, and environment sensors reconcile against the same baseline — so changes get caught earlier than memory ever could.
Connected devices detect unusual changes against each pet’s baseline and notify owners early. PawPilot explains what changed and possible causes, helping users respond quickly and seek appropriate care.
PawPilot tracks each pet’s daily health signals and compares them with their baseline, helping owners spot changes early.
Daily logs and device data help PawPilot learn each pet's baseline over time.
Instead of isolated numbers, the system compares appetite, water, activity, waste, and environment against the pet's usual behavior.
By connecting smart devices, PawPilot can move beyond manual input and catch changes earlier.
Everyday devices help identify the causes of pets' illnesses more accurately and quickly.
Owners don't just need information; they need help deciding what to do next. Symptom Triage walks them through urgency, possible causes, and next steps — then bundles everything into a Vet-Ready Report.
Species-aware questions combine owner observations with profile and device data to assess urgency, identify possible causes, and guide the safest next step.
Owner observations, logs, photos, and device data are packaged into one structured PDF — a summary the clinic can actually read in the exam room.
Provides the fastest vet best suited to the pet's condition and schedules an appointment — helping users treat their pets' illnesses more effectively and quickly.
The goal is to help owners understand urgency, possible causes, and what to do next.
Instead of guessing or searching online, owners get a clear path — monitor, prepare for a visit, or seek emergency care.
It turns scattered symptoms, logs, media, and device signals into a structured summary the clinic can use immediately.
Pets can be in worse condition than owners realize — early structured action matters.
Daily tracking feeds detection. Detection triggers action. Action loops back into follow-up — and the baseline learns. The whole system is a quiet rhythm, not a one-time tool.
I spoke with pet owners across very different situations — first-time dog parents, multi-pet households, reptile and bird keepers, and people already using smart feeders or fountains — to hear where existing tools let them down.
These conversations exposed three recurring gaps: species support, connected device data, and clear coordination across a multi-pet household.
Whenever my hamster acts differently, I don’t know if it’s something serious or just normal behavior. There aren’t many reliable resources for small animals.
I already own several smart pet devices, but they all run on different apps. This makes them very inconvenient to use.
Managing one pet is easy. Managing three is completely different. I always forget who took medicine, who skipped breakfast or who is sick.
Pet owners often feel inundated by the vast information available online. Instead of another platform for symptom searches, they require clear guidance that highlights key concerns and actionable steps.
We need to turn confusing symptoms into clear next steps with trustworthy guidance.
Taking care of a pet involves many small daily actions — feeding, medication, behavior changes, vet visits—but owners rarely have a complete picture of their pet’s health.
We need to connect daily observations into meaningful patterns over time.
Owners of non-traditional pets frequently develop expertise in their animals, as conventional pet resources often fail to comprehend the distinct behaviors and requirements of these unique creatures.
We need intelligence tailored to each species, not one-size-fits-all.
Pet owners who possess smart pet devices prefer not to have additional dashboards. Instead, they seek technology that intuitively comprehends their pets and notifies them of significant changes.
We need AI to transform device data into proactive health insights.
Emily, 24 · hamster owner. One episode of diarrhea becomes a guided path from panic to treatment, recovery and prevention.
Emily checks her hamster’s appetite, hydration and activity levels, but she is unsure whether the symptoms require immediate attention.
Starts an urgent diarrhea flow directly from the hamster profile.
PawPilot reviews Emily’s answers together with feeder and water-device data, then identifies excess fruit as the likely cause of the diarrhea.
Asks focused questions, reviews device data and identifies the probable trigger.
Emily follows immediate care guidance, then syncs the Vet Report from her phone to the clinic screen for professional treatment.
Gives urgent care steps and red flags, prepares a shareable Vet Report and finds a nearby hospital.
After treatment, Emily records medicine, stool, appetite and water, using daily check-ins to prevent another episode.
Tracks recovery, reminders, diet changes and the hamster’s updated baseline.
Vaccination reminders, weight logs, light social features. Dog- and cat-centric.
Pay-per-consult video chat with a vet. Useful, but only after something has already escalated.
Single-purpose apps tied to a feeder, fountain, litter box, or activity collar.
Between general apps and emergency vet calls. Between siloed devices and personal memory. A daily baseline, multi-species care logic, and a structured handoff to professionals when it matters.
Neutral cream sets the emotional tone — calm, never clinical. Mint green is reserved for primary action and healthy states. Semantic color escalates gracefully: monitor → urgent → emergency.
Started from real frustrations as a pet owner — mapped current gaps in pet apps, vet workflows, and smart devices into one problem space.
Used ChatGPT as a thinking partner to widen scope — explore non-traditional species, surface care-logic differences, and pressure-test feature scope.
Wrote disciplined prompts for baseline detection and vet-report generation — the foundation for how the AI should "talk" inside the product.
Generated the first end-to-end flow inside Figma Make — onboarding, dashboard, triage chat, vet report — to feel the rhythm before drawing pixels.
Looped between the prototype and AI critique — copy tone, decision points, info density. Cut anything that felt theatrical or clinical.
Replaced AI-generated styles with the cream/mint design language — structured cards, and a single mint health signal across the system.
What if every smart pet device — feeders, fountains, litter trackers, environment sensors — shared the same baseline? More smart-module support could feed the Digital Twin automatically, shifting the app from manual logs to passive listening.
What if the Vet-Ready Report wasn't a one-way PDF, but a two-way conversation with clinics? Visit summaries, medication tracking, follow-up workflows — home and clinic stay on the same page.
What if caring for a pet was something a household did together? Family members, pet sitters, vet techs — all sharing one record, with notes routed to whoever's actually with the pet that day.
What if the Digital Twin learned enough about one specific animal to predict before it observes? Personal baseline, owner-tuned sensitivity, predictive flags — calm on quiet days, loud only when something genuinely shifts.