product-thinking
3 articles about "product-thinking".
Why I Build Products This Way — From One Realtor's Pain to a Platform Built for AI
The most important thing in building a product isn't how flashy the tech is — it's what problem you're actually solving and what should be automated. Here's how I went from interviewing realtors around me and reading the market, to a platform that both humans and AI can understand, and why I'm betting AI agents are the future while still shipping an intuitive entry point for ordinary people today.
How We Built a Realtor AI Concierge That Won't Make Things Up, Won't Overpromise, and Holds Up to Attacks
AI concierges are everywhere, but poke most of them and they do three dangerous things: make things up, promise what they shouldn't, and get talked off-task in a sentence. For a realtor concierge, those are red lines. Here's the real engineering behind UD House's: keeping rent vs sale straight, never committing a price on the landlord's behalf, never faking a booking before a contact is captured, and surviving prompt injection + PII extraction — and why 'clear boundaries' beats 'smarter'.
Why Pin Uses Buttons, Not Chat — Architecture Trade-offs of a Consumer AI Runtime
Everyone's building AI chatbots. With Pin we did the opposite: buttons and templates are the main dish, the LLM is only a fallback. Here's the architecture behind that — why, for ordinary consumers, a deterministic button flow beats a clever free-form chat, and how one SKILL.md grows a LINE/TG button interface, an MCP server, and a webhook receiver all at once.