Project 01 · 2026
PawsVerified: Making the Pet-Policy Fine Print Visible
PawsVerified · AI Product Manager
An ongoing pet-friendly hotel finder that makes the fine print visible: AI-assisted policy reports for cats and dogs today, with a human-verified directory and steady improvements on the way.
Interactive prototype
Open prototypeThe Idea
A hotel can call itself pet-friendly without answering the questions that actually matter to someone traveling with an animal. PawsVerified started with a more useful question: does this place welcome my cat or dog, under what conditions, and what will it cost? I shaped the product around clearer information for pet parents and a more concrete way for hotels to communicate what they can accommodate.
Role
AI Product Manager — product strategy, design, and research
Focus
Pet-policy clarity, hotel discovery, and trustworthy AI verification
Live now
AI-assisted hotel checker and individual policy reports
Coming
Human-verified hotel directory
The Problem
A label without a policy
‘Pet-friendly’ does not tell a traveler whether their particular animal is welcome or which restrictions apply.
The real cost comes later
Fees, deposits, and other conditions are often hard to find until the booking or check-in stage.
Cats disappear into ‘pets’
A dog-friendly policy cannot safely be treated as a cat-friendly one. Cat parents need an explicit answer, not an assumption.
From a Badge to an Answer
A typical hotel-search pattern reduces pet policy to a checkbox and a badge. These simplified before-and-after comparisons show why I designed the live experience differently.
01 / Search for the right animal
Conventional pattern
City or hotel…
☑ Pets allowed
Hotel A · Pet-friendly
Hotel B · Pet-friendly
The gap. One checkbox treats every animal alike. The result list repeats the ambiguity the search should resolve.
PawsVerified · design approach
City or hotel…
Cats / Dogs / Both
Hotel A · Open report →
Hotel B · Open report →
The design. Species is chosen before search, so the answer can be about a cat, a dog, or both.
02 / Make the evidence inspectable
Conventional pattern
Hotel A · Pet-friendly
Score: 8.7 / 10
Pet fee: see hotel
The gap. A single score cannot tell a traveler which species is allowed, what it costs, or why the result should be trusted.
PawsVerified · design approach
Hotel A · Checked by AI
Dogs: status · fees · limits
Cats: status · fees · limits
Indicators · reasons · sources
The design. The report puts status first, separates species, and gives each indicator context and source links.
03 / Set the right trust boundary
Conventional pattern
♡ Favorites · account needed
Info may be outdated
The gap. Buried caveats and an account requirement add friction without clarifying what has actually been checked.
PawsVerified · design approach
♡ Saved places · on your device
Verified with us
AI report · confirm with hotel
The design. Saving needs no account. The AI label and confirmation advice stay visible in the experience.
The Product Direction
As PawsVerified's AI Product Manager, I owned the product end to end — from framing the problem to designing and shipping the experience. The first available tool is an AI hotel verifier. Travelers search by city or hotel name, choose whether they are looking for cats, dogs, or both, and inspect individual reports rather than relying on a generic pet-friendly badge. The search supports a United States focus and an early worldwide view; a saved-places list helps people keep track of possibilities.
- City or hotel search → find properties and open a report for each one
- Cats and dogs → assess each species separately instead of treating ‘pet’ as one policy
- Published policies and reviews → put rules, fees, and corroborating context together
- Saved places → hold onto hotels worth considering while comparing options
A Report, Not a Badge
The hotel report makes the evidence inspectable. It shows when the AI last checked a property, separates dog and cat assessments, surfaces published fee and restriction details, and distinguishes what a hotel or review claims from what has actually been confirmed. Transparency, confidence, and facility indicators are accompanied by explanations rather than standing alone as scores.
The trust boundary. These live reports are generated from public information by AI; they are not personal hotel inspections. Policies and prices can change, so visitors are asked to confirm details directly with a hotel before booking.
Designing for Calibrated Trust
My product design work centered on one question: how do you present an AI's judgment so people can trust it without over-trusting it? The report shows when the AI last checked, pairs transparency, confidence, and facility indicators with explanations, and links review snapshots to their sources. Those choices let travelers inspect the reasoning instead of taking a number at face value.
The same honesty shaped the edge of the product. Saved places stay on the traveler's device, the tool describes itself plainly as an AI hotel verifier, and the disclaimer — that reports are generated from public information and should be confirmed with the hotel — is part of the design, not small print buried at the bottom. A ‘verified with us’ view keeps returning visitors oriented on which properties have already been checked.
What Comes Next
PawsVerified is an ongoing project, and improvements ship along the way rather than waiting for a single launch. The next milestone is a curated, manually verified directory: a separate layer that checks pet policies directly with hotels and makes the difference between AI-assisted findings and human verification visible to travelers. The AI verifier and its hotel reports are the experience available today, and they keep getting sharper.