The way you think about AI
is the architecture of your product.
HideView Interactive is a boutique AI studio that delivers from thought to working product. Senior practitioners, in-house, building AI that holds up under load — for teams serious about their AI initiatives.
Most AI products fail in the design decisions, not the model.
A growing set of principles, learned from shipping. Tool-agnostic patterns. Sharp enough to disagree with. Specific enough to test against your own roadmap.
The schema is the product.
Model the domain before you write a component.
Multi-tenancy is week-one work.
RLS belongs in the schema, not the backlog.
Voice AI is prompts and tool-calling, not protocol.
The WebSocket is the easy part.
Verification gates over editing bad output.
The agent should self-assess before the human reads anything.
Examples of what's been shipped — and the technology range behind it.
The work spans vertical SaaS, multi-agent systems, voice and text AI, AR and on-device ML, multi-tenant data, embedding-based matching, AI infrastructure, and production operability — across web, mobile, and TV.
Below are recent examples I can share. What you'd build with me almost certainly isn't on this list. The patterns are.
Schema-first, RLS in week one, GraphQL on top, multi-surface from day one.
From iPad in a customer's space to a structured, line-item quote in ninety seconds.
Run the business from anywhere. Same tools, same context, voice or text, picked by the situation.
The shop floor's TV becomes the dashboard. Apple TV and Fire TV, live status, no input required.
LangGraph topologies with self-assessment and verification gates between every handoff.
Claude for reasoning. GPT-4o for structure. Gemini for multimodal. Routed per task, with cost-aware fallback.
Four engagements. Fixed scope. Honest tiers.
Think, try, build, lead. Enter at any rung.
Senior judgment, applied to your situation. A plan you can act on, before any code ships.
Ship one production AI feature, end-to-end. Existing product or new build.
Idea to MVP in production. Web, mobile, or both.
Senior AI product leadership, embedded.
Built to deliver AI products that ship — and stay shipped.
For teams serious about their AI initiatives. Tell me what you're trying to deliver and what's getting in the way — if it's a fit, we'll scope a sprint and start.
Book a 30-minute call →