Prototype speed is not product proof
AI can compress the time required to build an experiment. It does not prove that the result is accurate, durable, useful, or worth returning to over time.
Studio.com experiment archive
Ben Chan used Studio.com to test how quickly AI-assisted products could move from an idea to sustained use. The active product offers have ended, but the practical findings remain part of the company's evidence.
AI can compress the time required to build an experiment. It does not prove that the result is accurate, durable, useful, or worth returning to over time.
Memory, continuity, drift, and trust failures emerge through repeated use. A strong first session cannot substitute for evidence gathered across days or weeks.
AI may generate options, structure an experience, and make iteration cheaper. Domain judgment and the decision about what is safe or true remain human responsibilities.
Ending an offer does not erase the experiment. Preserving this route keeps the record legible without presenting a retired product as current.
Current work continues through the public Ben Chan Tech experiment and its preserved case, method, and operating-record surfaces.