Originally written in French. Translated by AI — the meaning has been preserved, not the prose.
Angle
A dock that works around overly heavy data entry and an accounting team that can no longer reconcile its invoices without it are saying two true and opposing things, and the sentence that reconciles them — simplify while making the data reliable — erases the problem that needed solving. A contradiction in customer feedback is the product information that summarizing destroys: it points to the spot where the product has to choose. Keeping it open — intact sources, one idea per proposition, the tension written as an idea in its own right and recorded in the state of the work — turns it into a design question, and turns an AI that smooths things over on request into a guardrail against smoothing.
Synthesis
Smoothing is not an isolated error of judgment: meeting minutes, slides and tickets demand a conclusion, and an AI asked for a summary reconciles whatever looks alike. Everything pushes to make the contradiction disappear before it has been of any use.
The countermeasure lies in structural moves rather than vigilance. Keeping the source intact makes it possible to go back to what was said. Drawing the boundary between strengthening an idea and creating another prevents the merging that silences. Writing the tension as one more idea shifts the question — no longer simplify or make reliable, but which information to enter where and when. Recording it in the state of the work makes it reappear every time the case is picked back up.
These moves also change the role of the AI: it is not the model that smooths things over, it is the instruction and the lack of material. Faced with written sources and tensions, the same AI holds new intuitions up against what is established. The first deliverable follows from this: it prepares the research instead of settling the question.
What the whole says that no single note says: the quality of a product decision depends on contradictions surviving until the material makes it possible to settle them, and that survival is a property of the working setup, not of the character of the people who use it.
Tensions / contradictions
Keeping the contradiction open and delivering a product decision pull in opposite directions: the thesis does not say how far the research can be extended before it has to be settled without sufficient evidence.
The guardrail AI recalls established tensions; it can also make it harder to reopen them when a new fact makes them obsolete.
Questions
- How does an organization that judges its steering committees on clear messages receive an unsettled contradiction as a deliverable?
- What becomes of this setup when contradictions multiply to the point where each one can no longer be investigated?