LatentMesh is independent research on how AI agents make decisions: making those decisions fast to score, and possible to verify afterwards.https://latentmesh.ai/https://latentmesh.ai/blog/evidence-is-what-someone-can-verify-later/https://latentmesh.ai/blog/evidence-is-what-someone-can-verify-later/An eval result becomes evidence only when the party that needs to verify a claim can retrieve it, interpret it, and verify it. Production alone is not enough. Retention alone is not enough.Mon, 04 May 2026 14:00:00 GMThttps://latentmesh.ai/blog/the-eval-pack-belongs-to-the-class/https://latentmesh.ai/blog/the-eval-pack-belongs-to-the-class/An eval pack is the reusable unit of evaluation for an agent class. It contains scenarios, scorers, thresholds, expected evidence, and obligation mappings — the content that turns a test suite into traceable evidence.Mon, 04 May 2026 12:00:00 GMThttps://latentmesh.ai/blog/drift-is-when-the-queue-does-not-know/https://latentmesh.ai/blog/drift-is-when-the-queue-does-not-know/Change routing works only for visible change. Drift is the movement that invalidates evidence without producing a change record.Mon, 04 May 2026 11:00:00 GMThttps://latentmesh.ai/blog/i-built-a-free-eu-ai-act-compliance-checker/https://latentmesh.ai/blog/i-built-a-free-eu-ai-act-compliance-checker/A schema-driven way to turn scope questions into a preliminary risk classification, triggering reasons, and a downloadable record.Mon, 04 May 2026 09:00:00 GMThttps://latentmesh.ai/blog/baseline-inheritance-is-how-agent-evaluation-scales/https://latentmesh.ai/blog/baseline-inheritance-is-how-agent-evaluation-scales/An instance inherits its class baseline only while it stays inside the boundary the baseline was proven against. The hard part of fleet evaluation is detecting the moment that boundary has been crossed.Mon, 04 May 2026 09:00:00 GMThttps://latentmesh.ai/blog/evaluation-should-follow-change/https://latentmesh.ai/blog/evaluation-should-follow-change/Calendar-driven eval cadence wastes capacity on stable systems and misses risk on changing ones. Change-routed evaluation matches eval work to what actually changed.Mon, 04 May 2026 09:00:00 GMThttps://latentmesh.ai/blog/the-next-eval-is-the-one-with-the-most-evidence-at-risk/https://latentmesh.ai/blog/the-next-eval-is-the-one-with-the-most-evidence-at-risk/The next eval should be the one where delay puts the most load-bearing evidence at risk.Mon, 04 May 2026 09:00:00 GMThttps://latentmesh.ai/blog/the-agent-is-not-the-unit-the-agent-class-is/https://latentmesh.ai/blog/the-agent-is-not-the-unit-the-agent-class-is/Per-agent evaluation fails at fleet scale because the unit of review is wrong. The reviewable unit is the agent class: a shared pattern of purpose, tools, data access, autonomy, and risk surface.Sun, 03 May 2026 09:00:00 GMThttps://latentmesh.ai/blog/why-per-agent-evaluation-breaks-at-fleet-scale/https://latentmesh.ai/blog/why-per-agent-evaluation-breaks-at-fleet-scale/Most evaluation systems assume a single agent. At fleet scale, the question shifts from whether one agent passed to where limited evaluation capacity should be spent now.Fri, 01 May 2026 09:00:00 GMThttps://latentmesh.ai/blog/the-evidence-plane-for-ai-systems/https://latentmesh.ai/blog/the-evidence-plane-for-ai-systems/The missing layer between what your system must prove and how your organization proves it. A framework synthesis connecting obligations, controls, evaluations, evidence artifacts, and the response loop.Sun, 05 Apr 2026 20:00:00 GMThttps://latentmesh.ai/blog/choosing-your-eval-architecture/https://latentmesh.ai/blog/choosing-your-eval-architecture/The question is not which eval tool. The question is what kind of eval infrastructure your system actually needs. Three architectures, three failure modes, and how they compose into an evidence pipeline.Sun, 05 Apr 2026 18:00:00 GMThttps://latentmesh.ai/blog/the-regulatory-mapping-table/https://latentmesh.ai/blog/the-regulatory-mapping-table/An interactive reference that turns EU AI Act high-risk obligations into operating controls, verification methods, evidence artifacts, owners, and review cadence. Filter by role, article, cluster, or cadence to map obligations into your operating responsibilities.Sun, 05 Apr 2026 16:00:00 GMThttps://latentmesh.ai/blog/drift-detection-patterns-for-production-agents/https://latentmesh.ai/blog/drift-detection-patterns-for-production-agents/Your agent is still answering. That does not mean it is still behaving the same way. Five drift classes, three detection layers, and the patterns that catch regression before your customers do.Sun, 05 Apr 2026 14:00:00 GMThttps://latentmesh.ai/blog/what-your-agent-logged-vs-what-the-auditor-needed/https://latentmesh.ai/blog/what-your-agent-logged-vs-what-the-auditor-needed/The trace says what happened. The auditor asks why, under what authority, and what changed. Most agent deployments log enough to debug a success but not enough to investigate a failure.Sun, 05 Apr 2026 14:00:00 GMThttps://latentmesh.ai/blog/from-obligation-to-evidence-in-90-minutes/https://latentmesh.ai/blog/from-obligation-to-evidence-in-90-minutes/Pick one requirement. Map it to a control. Write the eval. Generate the artifact. Assign the owner. A hands-on walkthrough of the full compliance loop using EU AI Act Article 14.Sun, 05 Apr 2026 12:00:00 GMThttps://latentmesh.ai/blog/building-an-eval-harness-that-survives-production/https://latentmesh.ai/blog/building-an-eval-harness-that-survives-production/Most eval harnesses die the same way. Five structural decisions separate the ones that survive production from the ones that quietly rot.Sun, 05 Apr 2026 10:00:00 GMThttps://latentmesh.ai/blog/the-incident-response-gap-in-ai-systems/https://latentmesh.ai/blog/the-incident-response-gap-in-ai-systems/You built the controls. You still cannot contain the failure. Most organizations have started building AI controls. Far fewer have built AI incident response.Sat, 04 Apr 2026 20:00:00 GMThttps://latentmesh.ai/blog/mapping-the-eu-ai-act-to-engineering-evidence/https://latentmesh.ai/blog/mapping-the-eu-ai-act-to-engineering-evidence/The regulation tells you what to prove. It does not tell you how to build the proof. This essay maps every major obligation from the EU AI Act to a specific control, eval, and evidence artifact.Sat, 04 Apr 2026 18:00:00 GMThttps://latentmesh.ai/blog/anatomy-of-an-evidence-pack/https://latentmesh.ai/blog/anatomy-of-an-evidence-pack/Your system passed the eval. Can you prove it? An evidence pack is a structured, continuously generated collection of artifacts — traces, eval results, approvals, config snapshots, and incident records — that proves your AI system did what you said it would do.Sat, 04 Apr 2026 16:00:00 GMThttps://latentmesh.ai/blog/controls-are-not-guardrails/https://latentmesh.ai/blog/controls-are-not-guardrails/A guardrail catches the output. A control proves the system works. The difference is the evidence layer — obligation, mechanism, eval, evidence, owner.Sat, 04 Apr 2026 14:00:00 GMThttps://latentmesh.ai/blog/what-should-an-ai-system-actually-prove/https://latentmesh.ai/blog/what-should-an-ai-system-actually-prove/You diagnosed the problem five different ways. Now build the answer. The proof loop: obligation, control, evaluation, evidence, response.Sat, 04 Apr 2026 13:00:00 GMThttps://latentmesh.ai/blog/drift-is-the-default/https://latentmesh.ai/blog/drift-is-the-default/Your agent worked yesterday. That is not a promise about today. Model updates, prompt changes, and shifting inputs cause silent behavioral regression that traditional monitoring doesn't catch.Sat, 04 Apr 2026 12:00:00 GMThttps://latentmesh.ai/blog/who-owns-the-agents-mistake/https://latentmesh.ai/blog/who-owns-the-agents-mistake/The legal answer is converging fast. Courts are rejecting the 'AI did it' defense. The question is whether your organization has the infrastructure to assign accountability when an agent fails.Sat, 04 Apr 2026 11:00:00 GMThttps://latentmesh.ai/blog/guardrails-are-not-safety/https://latentmesh.ai/blog/guardrails-are-not-safety/Boundary guardrails are the AI equivalent of locking the front door while leaving the windows open. Real safety requires observability, containment, least privilege, and structured human review.Sat, 04 Apr 2026 10:00:00 GMThttps://latentmesh.ai/blog/the-eval-gap/https://latentmesh.ai/blog/the-eval-gap/Your benchmarks are passing. Your agent is failing. Most evals measure isolated performance under controlled conditions while production failure comes from distribution shift, tool-chain errors, and changing reality.Sat, 04 Apr 2026 09:00:00 GMThttps://latentmesh.ai/blog/agent-failures-are-distributed-systems-failures/https://latentmesh.ai/blog/agent-failures-are-distributed-systems-failures/You already have the mental models for agent reliability. Retries, circuit breakers, observability — the vocabulary changes, the physics don't.Fri, 03 Apr 2026 00:00:00 GMT