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Practical guides on AI agent governance, EU AI Act compliance, cost optimization, and building observable AI systems.

We write for the engineering and compliance teams running autonomous agents in production: what the EU AI Act actually requires of agent operators, how to attribute token spend to teams and projects, and how to produce audit evidence a regulator will accept. Everything here comes from building the MeshAI Labs Agent Control Plane. New to the topic? Start with our AI agent governance guide, or head to the platform docs to instrument your first agent.

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The AI Agent Governance Layer: The Two-Layer Architecture Observability Tools Leave Open

Observability platforms like Langfuse, Arize Phoenix, LangSmith, and Datadog trace what agents did. None of them gate actions behind human approval, measure whether oversight happens, or assemble regulator-ready evidence. That second layer is the AI agent governance layer, and this is the architecture, capability by capability.

Henrique Veiga Curi2026-07-109 min read
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AI Agent Observability Collects the Data. Governance Requires More.

The FLI AI Safety Index documents how OpenAI monitors its own internal coding agents: full conversation history, forced human approval, every action logged to an uneditable database. That is not a dashboard. It is runtime governance, and most enterprises deploying agents have nothing like it.

Henrique Veiga Curi2026-07-108 min read
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Your Agent Telemetry Loses Data on a Crash. For EU AI Act Records, That Is the Whole Problem.

Most AI agent telemetry is best-effort and drops events when a process crashes. EU AI Act Article 12 requires durable, traceable records. MeshAI for Claude Code fsyncs every event to disk before anything else, so only disk failure can lose it. Open source, pip install today.

Henrique Veiga Curi2026-07-067 min read
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AI FinOps: Why Most of Your Token Spend Is Waste You Can't See

AI FinOps attributes LLM spend to the work it actually produces and governs it against outcomes, not invoices. Infrastructure data shows most token spend is recomputed or removable. The fix is measuring cost per successful task.

Henrique Veiga Curi2026-06-049 min read
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The US Just Deregulated AI. Your EU AI Act Obligations Did Not Change.

On June 2, 2026 a US executive order made federal AI policy deregulatory and voluntary, with no mandate to log, monitor, or audit deployed AI. For US companies whose AI output reaches the EU, that changes nothing. Here is why, and what the two-regime gap means in practice.

Henrique Veiga Curi2026-06-036 min read
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EU AI Act Compliance Lifecycle: The Feedback Loop Your Observability Stack Doesn't Close

A new academic paper maps EU AI Act compliance as a 12-step lifecycle with a closed feedback loop on post-market drift. Most observability stacks stop at step 7. Here is the gap.

Henrique Veiga Curi2026-05-2611 min read
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EU AI Act Article 12: What Your Logs Must Prove

Article 12 requires automatic event logging over a high-risk AI system's lifetime. Deployers must retain those logs at least 6 months under Article 26(6). Most observability stacks capture telemetry, not evidence: here is the gap and a nine-step checklist to close it.

Henrique Veiga Curi2026-05-2212 min read
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EU AI Act Article 6: The Distinction Most Companies Are Getting Wrong

The EU AI Act has two enforcement tracks for high-risk AI: an earlier one for standalone Annex III systems and a later one for AI embedded in regulated products. Both were postponed under the 2026 Digital Omnibus agreement, but most enterprise AI agents still fall under the earlier track. Here's the Article 6 precision your compliance team needs.

Henrique Veiga Curi2026-04-2510 min read
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AI Agent Governance: A Complete Guide for 2026

AI agent governance is how enterprises inventory, monitor, control, and audit their AI agents. This guide covers what it includes, how it differs from bot governance and AI safety, the frameworks that apply, and how to implement it before the EU AI Act deadline.

Henrique Veiga Curi2026-06-0310 min read
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EU AI Act Compliance for AI Agents: What You Need to Know

The EU AI Act's high-risk obligations were postponed to December 2, 2027 under the 2026 Digital Omnibus agreement. Here's a practical guide to compliance for organizations deploying AI agents: risk classification, audit trails, HITL, and FRIA.

Henrique Veiga Curi2026-03-1810 min read
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How to Monitor and Optimize AI Agent Costs

Token spend is the new cloud bill: invisible and growing fast. Here's how to get visibility into AI agent costs and prevent budget overruns.

Henrique Veiga Curi2026-03-176 min read
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Shadow AI: The Risk Isn't the Chatbot. It's the Agent.

Shadow AI is the use of AI tools, models, or agents inside an organization without IT approval or security oversight. Research now traces most AI security incidents to unauthorized or misconfigured agents. Here is what shadow AI includes, why agents raise the stakes, and how to detect and govern both.

Henrique Veiga Curi2026-03-158 min read
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What Is an AI Agent Control Plane?

An AI agent control plane is the management layer that inventories, monitors, governs, and cost-attributes every AI agent an organization runs, regardless of framework or vendor. Here is the definition, the architecture, and why analysts now track it as a market category.

Henrique Veiga Curi2026-03-127 min read

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