Separate Technical POC from Production MVP for AI Products
Disambiguate technical feasibility in idealized POCs from production value delivery in MVPs; avoid the dangerous fallacy that POC success guarantees production readiness.
Separate Technical POC from Production MVP for AI Products
A recurring pathology in AI development is jumping directly from high-level ideation into full-scale MVP builds while skipping the Proof of Concept (POC) stage, or conflating the two. The consequence: engineering teams invest months building polished UI screens, auth systems, and database pipelines, only to discover that the core foundational model capability cannot cross the minimum technical feasibility threshold.
Running Example: FinTrack Logistics evaluating an automated optimization engine: "AI dynamically optimizes multi-stop carrier delivery routes in real time to reduce fleet fuel consumption by 15%."
POC (Proof of Concept - 1 to 2 weeks)
MVP (Minimum Viable Product - 6 to 8 weeks)
Demarcate the Technical POC vs. Production MVP Boundary
Internal: Only PM, Tech Lead, and Leadership evaluating algorithm signals.
Sterile sandbox: Clean spreadsheet data covering 5 central grid zones.
Disposable: Jupyter Notebooks running locally on the Data Scientist's laptop.
Algorithm demonstrates ≥12% theoretical distance reduction on 100 simulated trips.