SignOS — AI DM Agent for Lead Qualification Built SignOS, an AI-powered conversational agent for ...SignOS — AI DM Agent for Lead Qualification Built SignOS, an AI-powered conversational agent for ...
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Built SignOS, an AI-powered conversational agent for real estate teams that answers every inbound DM instantly, qualifies leads on budget, area, need and timeline, and books showings automatically via calendar integration.
I designed the end-to-end conversational architecture: intent handling, BANT qualification logic, human escalation paths, and CRM/pipeline integration, running as a 24/7 always-on agent.
Building agents like this is also why my security work is grounded in practice. I secure LLM systems because I ship them and know exactly where they break.
Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
Some quick mockups for Relay, an AI infrastructure platform concept built around model routing, observability, and performance.
Exploring what a mobile command center could look like for teams managing multiple AI models, with a focus on clear data, fast decisions, and a developer-first UX.
Product design, mobile UI, AI tools, and a little systems thinking all in one.