Adriel described the trap clearly: large organizations use AI to create more of the same artifacts. In one case, he was directed to write a 400-page PRD with Gemini.
That is not working differently. That is making the old process louder.
The risk is easy to miss because the output looks productive. More pages. More tickets. More summaries. More synthetic certainty. But if the team still does not know what customer problem matters, what tradeoff it is making, or what evidence would change its mind, the AI did not improve product delivery. It just made the artifact pile taller.
Lindsey saw the same pattern from another angle: people were told to "just make it AI" without enough clarity on the actual problem, the measure of success, or the data behind the decision.
Hamster starts from a different question: what does the team need to agree on before humans and agents build?
The answer is usually not a longer PRD. It is a clearer Brief: customer need, evidence, constraints, decisions, success criteria, and delivery context in one place. The Brief can generate a Plan and Tasks, but the point is not artifact volume. The point is shared product judgment that can be executed.
Before using AI to generate another artifact, ask what agreement the team actually needs. If the artifact does not help humans and agents build the right thing, it is probably theater.