Software
Every engineering team eventually encounters the same challenge. A product begins with a clean codebase, a small team, and a clear vision. Features are added quickly, decisions are made pragmatically, and development moves fast. Then growth happens. More developers join. More requirements arrive. More integrations appear. Suddenly, changes that once
Software
A pet parent opens EverWiz chat and asks, “Is Milo overdue for his rabies booster?” A generic LLM can write a thoughtful essay about rabies vaccination schedules. What it cannot do out of the box is look at this pet's actual vaccination card and give a real answer.
Software
Pet healthcare records are inherently unstructured.Vaccination certificates arrive as photos taken at a clinic. Blood reports are shared as PDFs. Prescription records are forwarded through messaging apps. Over time, these documents become scattered across phones, inboxes, and folders, making them difficult to search, track, or act upon when needed.
Software
The Signals Pets Never Verbalize A dog developing a low-grade fever will not announce it. A dog beginning to experience dental discomfort won't either. Companion animals are evolutionarily conditioned to mask weakness a survival behavior that long predates domestication. By the time a pet parent notices that a
Software
When users tell you "the chat feels slow," the first instinct is to blame the model. Bigger LLM, longer prompt, more retrieved context — those are the obvious suspects. But when we profiled our AI assistant's chat endpoint end-to-end, the model itself was already running about as
Software
Hardware setup flows are deceptively hard to build well. A Wi-Fi speaker or IoT device might need Bluetooth permissions, adapter readiness, a 10-second scan, device selection, GATT connection, and a service handshake - each of which can fail independently and silently. When you are building this in Flutter, you quickly
Software
The "Silent" Signals As pet parents, we are fluent in the "loud" dialects of our companions: the joyful bark at the door, the insistent nuzzle for a walk, or the rhythmic thumping of a wagging tail. But chronic health issues in pets rarely speak this loudly.
Software
Retrieval-Augmented Generation has become the default architecture for practical AI systems because it separates reasoning from knowledge freshness. Models no longer need to contain every fact at training time; instead, they can retrieve relevant information from search indices, document stores, internal knowledge bases, and user-generated corpora at runtime. That architectural
Software
Telemetry is supposed to be your safest window into production reality. But in device + AI systems, it’s also the quickest way to leak sensitive context—quietly, accidentally, and at scale. The pattern is familiar: a “temporary” debug field ships, raw sensor payloads sneak into logs, verbose metadata encodes identity
Software
The App Store Release Bottleneck You've just discovered a critical UX issue in your production app. The fix is simple, reorder two buttons, change a label, maybe adjust a layout constraint. Easy, right? Not quite. You're looking at a minimum two-week timeline: code the fix, test