Stop Letting AI Agents Run the Whole Workflow
One inbox agent should not classify, research, score, route, and draft replies in one loose loop.
7 articles about mastra - lessons from building and scaling real software.
One inbox agent should not classify, research, score, route, and draft replies in one loose loop.
Prompt-based approval gates fail because the model decides whether to ask. Mastra's requireApproval primitive removes that decision entirely. Here's how to implement it.
How to wire human-in-the-loop on tool calls — and why system prompt instructions like "always ask before sending" don't actually hold.
The multi-agent supervisor pattern in Mastra: eight specialist agents on one local LLM, one supervisor, structural trust boundaries — using TypeScript.
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.
A practical guide to building an AI agent with Mastra that researches contacts, schedules follow-ups, integrates with Slack, and uses layered memory.
Learn to build your own AI agent that actually does work for you, not just answers questions.