Proof, Not Answers: Digital Transformation, AI, and What Schools Must Build After the Answer Key

This is digital transformation with AI happening at four levels at once: a tool rebuilt 438 times in seventeen days, students who co-created it, a teacher who became its builder, and a district that has no way yet to approve any of it. I teach in a public high school technology academy in California, grades 10 through 12. Most of my students are low-income and Latine. This semester I built them spawn, a game studio that runs in the browser, with an AI coding partner beside every tool. If an AI can produce the assignment, the assignment is worthless as evidence. Learning still happens; it shows only in proof of how the work happened. "When AI can complete the deliverable, the deliverable alone stops being meaningful evidence of learning" (Akbar et al., 2026). Code.org built its business on the product and the evidence. Answers to its courses have been on YouTube for years. In June 2026 it renamed itself CodeAI and kept the same courses. Students are graded on work that proves nothing about them, and the students Code.org was founded to reach are the ones computer science serves least past the first course. This paper says who owns that harm and what has to replace answers. The same collapse reaches the district. Spawn changed several times a day. A district that approves a version of an AI tool approves something gone by Wednesday. Approve the way a tool changes. Judge the student, and the tool, on what the student can do with the AI turned off.