We run thousands of AI councils. We publish the ones worth your time — where the models disagree, change their minds, or surface something none of them saw coming.
A bracket's load averaged 100 MPa but swung 50/150, cutting fatigue life 3.8x. Two of three AIs doubled even that; the council caught the factor of two.
A cheap referral survey was built to return a 200-connection average. It actually returns about 2,000 — a tenfold bias more sampling can't fix. The council caught it.
Five AIs put a random-bracket meeting at 1/8. Make the two friends the strongest and it triples to 0.40 — the council flipped the likeliest meeting to the final and caught a model's wrong 0.59.
Two drug warehouses logged the same 8 °C average. A PhD stability expert said shelf life was identical. The council proved one degrades the drug 81% faster.
Five models answered a forecast-blending problem. Three matched to three decimals. Then the council was asked what its own agreement was worth, and priced it at 1.04 opinions.
A barge operator asked six AI models to price a contract clause. The model that insisted on sticking to the data told him a nine-day grace period ends his risk. It doesn't.
Three ordinary-looking correlations that no dataset can produce. One AI read the impossible result as strength and cut the ski patrol; the council caught it.
Six AIs were asked for a replenishment rule hitting an exact order-volatility target. One hit it perfectly with a rule that random-walks inventory to infinity.