At Hoomanely, we're building a preventive pet healthcare platform for pet parents that has tools and features ranging from a pet-parents community to an AI-powered pet care chat assistant. Our mission demands rapid iteration, we need to test hypotheses quickly, deploy features fast, and scale efficiently without the
Ask any pet parent about their anxious dog, and they'll give you a novel. Ask an AI assistant the same question without proper context, and you'll get generic advice that could apply to any animal, anywhere. Here's what we learned building Hoomanely's
Imagine this: you're chatting with an AI vet about your anxious rescue dog, Luna. Over hours, you've discussed her separation anxiety, dietary restrictions, medication schedules, and behavioural patterns. Then the next day, you ask a follow-up question about her progress, and the AI responds as if
Onboarding friction kills conversion. When building Hoomanely's pet parent onboarding flow, we discovered that one seemingly simple question, what breed is your pet, can cause unexpected dropoff. Pet parents would pause, scroll through endless dropdown menus, type partial breed names that didn't match our taxonomy, or
Pet parents face a unique challenge: their companions can't tell them what's wrong. Is that whimper a sign of anxiety or something more serious? Can Bella eat blueberries? Why is Max suddenly refusing his favourite food? These questions keep pet parents awake at night, scrolling through
When your dog suddenly starts limping at 2 AM, or your cat refuses to eat for the second day in a row, panic sets in. Pet parents turn to Hoomanely's AI assistant for immediate guidance, but there's a catch: typing out complex symptoms on a mobile
The gap between a generic AI interaction and a truly intelligent one often comes down to context. While most applications treat prompts as static templates, the real power emerges when your system can dynamically construct prompts based on runtime conditions, user history, application state, retrieved data, and environmental factors. This
File uploads are a common attack vector in web applications. A single misconfigured endpoint can expose your infrastructure to malware, shell scripts, or malicious payloads disguised as harmless documents. In Next.js applications, handling file uploads securely requires more than basic form validation, it demands a layered approach that includes
Point your phone at a pet food label. Within seconds, you get a breakdown of ingredients, allergen warnings, and nutritional insights, without manually reading tiny text or squinting under store lighting. This isn't science fiction. It's the kind of AI-powered mobile experience users now expect, and
Every tap, swipe, and screen transition in your mobile app tells a story. But here's the challenge: if you're not listening to these stories, you're building in the dark. Event tracking isn't just about collecting data, it's about understanding user