launchpilot-ai

LaunchPilot AI is described as an AI Product Launch & Decision OS and an evidence-led product launch readiness platform that connects product definition, five-gate review, AI evaluation, risk management, and executive decision-making into one defensible workflow. The project includes a portfolio disclosure stating that demo data and outcomes are synthetic and illustrative, and that it demonstrates product strategy, AI product management, responsible-AI thinking, evaluation design, and implementation ability rather than real company business results.

The platform helps product teams answer a critical question before releasing an AI-enabled capability: whether the product is valuable, reliable, safe, operationally ready, and commercially ready enough to launch. It consolidates the decision process into a single product workspace that connects product definition and MVP scope, customer and business value assessment, five launch-readiness gates, risk and trust management, AI quality and safety evaluation, operational and business readiness, and executive GO / ITERATE / NO-GO recommendations.

Key features include a Product Brief for target customer, customer problem, product promise, MVP scope, non-goals, North Star Metric, and success targets; a Five-Gate Launch Review across Customer Value, AI Quality, Trust & Safety, Operational Readiness, and Business Readiness; a risk register with exposure calculated as Likelihood × Impact; AI evaluation cases with aggregate quality, safety, and pass-rate metrics; and an Executive Decision page that synthesizes saved inputs into GO, ITERATE, or NO-GO. The technology stack includes Streamlit, Python 3.12, st.session_state, pytest, compileall, and Streamlit Community Cloud.