Validate an AI-native startup idea before building. Use when a founder has a problem hypothesis, customer segment, early market thesis, or product idea and needs customer discovery, opportunity filtering, wedge selection, market mapping, risk identification, or an evidence plan before starting an MVP.
Launch an AI-native product and learn from the first customers. Use when a founder has an MVP or beta and needs positioning, ICP, first users, founder-led sales, pricing, onboarding, launch plan, customer feedback loops, or an AI-assisted operating system for early growth.
Scope and plan an AI-native MVP after the problem and customer are credible. Use when a founder needs MVP scope, product architecture, coding-agent workflow, evaluation loops, technical debt control, security review, build milestones, or a practical plan for shipping the first useful version.
Scale an AI-native startup after early traction. Use when a founder has users, revenue, pilots, retention signals, or market pull and needs repeatable GTM, metrics, hiring, fundraising narrative, operating cadence, AI-assisted workflows, infrastructure priorities, or bottleneck diagnosis.
Diagnose the current stage of an AI-native startup and route founders to the right stage skill. Use when a founder asks where to start, is unsure whether they are in Idea, MVP, Launch, or Scale, wants a stage assessment, wants a practical founder playbook workflow, or provides company context and asks what to do next.