Moyai finds anomalous and failing AI-agent traces across Langfuse, LangSmith, and OpenTelemetry before customers report them.https://moyai.ai/https://moyai.ai/blog/2026/02/are-your-ai-agents-reliable/https://moyai.ai/blog/2026/02/are-your-ai-agents-reliable/Exploring how frameworks like τ²-bench and Pydantic Evals are shaping the science of evaluating AI agent reliability in production.https://moyai.ai/blog/2026/02/can-your-prompts-optimize-themselves/https://moyai.ai/blog/2026/02/can-your-prompts-optimize-themselves/Exploring how DSPy's declarative approach to prompt engineering replaces hand-crafted templates with Bayesian-optimized programs and what happens when you apply it to a real failure detection pipeline.https://moyai.ai/blog/2026/04/mission-defines-strategy/https://moyai.ai/blog/2026/04/mission-defines-strategy/How our five phase pipeline revealed a bigger image on its own, and what that teaches us about context engineering across agent boundarieshttps://moyai.ai/blog/2026/04/robustness-through-meaning/https://moyai.ai/blog/2026/04/robustness-through-meaning/Exploring how ontologies cross-validate with LLMs, making robust failure detection in agentic systems. Why this is a different approach than Palantir's operational ontology.https://moyai.ai/blog/2026/06/behind-the-myth-part-1/https://moyai.ai/blog/2026/06/behind-the-myth-part-1/OpenRouter's Fusion plugin collapses a three-judge deliberation panel into a single model call. Part 1 puts our old and new checker agents head to head on speed, and asks whether one call is really faster than three.https://moyai.ai/blog/2026/08/reproducing-llm-as-a-verifier/https://moyai.ai/blog/2026/08/reproducing-llm-as-a-verifier/We reproduce the verification results from LLM-as-a-Verifier with GLM-5.2, testing continuous score distributions, repeated evaluations, and criteria decomposition on Terminal-Bench 2.0.