Technical discovery
Clarify the customer problem, what AI should and should not do, data and integration constraints, and the smallest credible delivery path.
Frontz helps startups define, engineer, and iterate AI-powered product experiences, from an early product question to a system a small team can own.
Worked with

WeatherXM
HonestliClarify the customer problem, what AI should and should not do, data and integration constraints, and the smallest credible delivery path.
Build the product surfaces and services around the model: application logic, integrations, state, user experience, and operational behavior.
Make behavior inspectable and improvable with evaluation criteria, feedback loops, fallbacks, and an engineering plan for the next release.
A good AI product experience needs more than a prompt. We work across product and engineering: the flow users understand, the context the system can trust, integrations that make it useful, and the fallback or human path when confidence is low.
Engagements are shaped around the decision in front of the team: validate an AI product direction, build a meaningful first release, unblock a technical architecture, or add experienced product engineering capacity.
Explore AI engineering consultingExplore AI agents and agentic workflows