https://calibratedagents.com/blog/Research, benchmarks and essays on AI hallucination detection and AI answer verification.enhttps://calibratedagents.com/blog/why-outputs-need-independent-verificationhttps://calibratedagents.com/blog/why-outputs-need-independent-verificationWed, 28 Oct 2026 00:00:00 +0000Every invention that mattered moved forward on a check it did not contain: the ledger, the brake, the audit, the checksum, the test. Reliability is the backbone, and it never came from the producer. Outputs from people and models are now good enough that nobody checks them, and they are being wired into chains of steps where one silent error stops the whole thing. The missing piece is the check.https://calibratedagents.com/blog/galileo-cleanlab-arize-acquired-now-whathttps://calibratedagents.com/blog/galileo-cleanlab-arize-acquired-now-whatFri, 30 Oct 2026 00:00:00 +0000Six independent hallucination checkers were bought in fifteen months, most of them by platforms whose main product is something else. If one of them tells your team when an answer is wrong, here is what changes, what to ask your vendor, and what to look for in an alternative. It is also one entry point into something larger: independent, adaptive verification of what people and machines produce, not only of AI answers.https://calibratedagents.com/blog/microsoft-decision-1-benchmarkhttps://calibratedagents.com/blog/microsoft-decision-1-benchmarkSat, 10 Oct 2026 00:00:00 +0000Microsoft launched Microsoft-Decision-1 on 9 October 2026. The next day, we put it through the same test as the other leading decision APIs: one judge call per answer, on the same LLM-AggreFact answers, measured for speed, accuracy and cost. No single provider wins everywhere.https://calibratedagents.com/blog/hallucination-detectionhttps://calibratedagents.com/blog/hallucination-detectionFri, 09 Oct 2026 00:00:00 +0000An AI answer is rarely all wrong. Usually one or two sentences are, and an answer-level hallucination detection check can't tell you which. We measured that gap on 5,916 human-labelled sentences from two public benchmarks, and how far checking each sentence closes it.https://calibratedagents.com/blog/hallucination-detection-benchmarkhttps://calibratedagents.com/blog/hallucination-detection-benchmarkThu, 08 Oct 2026 00:00:00 +0000Most hallucination detection benchmarks compare detectors with whatever thresholds their authors chose. Teams don't work that way: they label a handful of their own answers and tune on those. So that is the test we ran, on RAGTruth++ and LLM-AggreFact, with the same labels for every system.https://calibratedagents.com/blog/why-not-an-llm-judgehttps://calibratedagents.com/blog/why-not-an-llm-judgeTue, 08 Sep 2026 00:00:00 +0000LLM-as-a-judge has good recall and no precision control. In production, where most answers are correct, that turns into a flood of false positives. Here is the arithmetic, and what a calibrated verifier returns instead.