VetClue - VetClue leverages AI Agents to connect you with the best vet

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VetClue helps pet parents organize concerns, review safety signals, compare veterinary options, and prepare a clinic handoff.

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Hi Product Hunt, I’m Josh, the maker of VetClue. VetClue started with my 17-year-old blind cat, Mr. Neelix. When he stopped eating normally, we spent hours researching local clinics that had feline dental experience and could accommodate his fear of carriers and cages. We eventually found a wonderful clinic, but getting there was stressful and time-consuming. I built VetClue to make that process easier. It helps pet owners organize what is happening, check urgent warning signs, research clinics based on their pet’s needs, and prepare a clear handoff. An AI agent can then call the clinic, explain the situation, answer intake questions, and request an appointment. VetClue is designed to work through the phone and intake systems clinics already use, so they do not need to purchase or learn another scheduling platform. This is an early prototype and does not diagnose pets or replace a veterinarian. I would love feedback from pet owners, veterinary teams, and anyone who has struggled to find the right care for an animal they love.
What did GPT-5.6 Sol, Terra and Luna unlock that made your launch possible?
GPT 5.6 helped turn VetClue from a personal idea into a working product. Luna powers pet care summaries grounded in trusted sources and compares clinic evidence without inventing reviews or medical claims. Sol and Terra, through Codex, helped me build and debug the React and Firebase application, connect external services, improve the calling workflow, and prepare the project for deployment. Together, these models helped me connect the complete experience: gathering symptoms, checking deterministic safety rules, researching suitable clinics, explaining the evidence, preparing a clear clinic brief, and handing scheduling to an AI calling agent. This made it possible for me to build and launch VetClue within the event timeline while keeping sensitive decisions grounded in explicit rules and trusted sources.