Building Approval Gates AI Agents Can't Route Around
Tell an agent “always ask before sending” in the system prompt and the model treats it as a suggestion, not a constraint. Framework-level enforcement is the version that actually holds.
I walk through adding requireApproval: true to a Mastra meeting-assistant agent, then demo the full pause-and-approve flow in Mastra Studio. You’ll see exactly where the enforcement lives and why prompt-based “always ask first” breaks in practice.
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Your AI Assistant Doesn't Need a Bigger Model. It Needs Colleagues
The multi-agent supervisor pattern in Mastra: eight specialist agents on one local LLM, one supervisor, structural trust boundaries — using TypeScript.
The Quality Loop Your AI Agent Is Missing (Evals + Tracing)
Add an LLM-as-judge scorer to a Mastra agent, catch a fabricated action item your tests would never flag, and fix the prompt — no custom infra.
The Observability Layer Your AI Agent Is Missing
Logs tell you what happened. Traces tell you why. The three layers of agent observability, and where silent failures actually live.
AI Agent Evals: The 4 Layers Most Teams Skip
Most teams evaluate AI agents by vibes. Here are the four layers of evals you actually need to ship agents with confidence.
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