Deep Interactions

Teams building AI products today rely on tools like Claude Code that are designed for a single person working alone in an editor, not for the founders, designers, engineers, domain experts, and operators who actually shape a real product. This mismatch produces disconnected prototypes, brittle demos, and no team alignment. In typical handoffs, context gets lost, revisions are endless, and specs drift from what was originally intended. The result is AI projects that generate screens and code quickly but lose the shared intent between business goals, design decisions, technical execution, and real-world use, leaving teams with half-baked ideas or products no one can actually use.

Deep Interactions works within a team's existing environment and alongside stakeholders to scope, design, build, and deploy products, aiming for a shipped result rather than an idea or prototype. The process has three steps: it captures business goals, constraints, and stakeholder context beyond simple prompts; it builds inside the tools a team already uses so the workflow stays connected from concept to release; and it delivers an integrated AI product rather than a broken handoff. It integrates with tools like Slack, Gmail, Chrome, Miro, Figma, GitHub, Vercel, and Supabase, plus custom integrations for specific workflows. The company emphasizes design that doesn't look AI-generated and a human-centered computing approach that considers not just whether a model can do something, but whether the product should exist that way and whether people will trust it.