7 min read
Failed Checks Belong in Your Inbox, Not Your Notifications
When an agent's work fails a check, it needs an owner, the evidence, and a next action. That is inbox work, not another alert to scroll past.
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Blog
Practical posts on turning recurring work into controlled Task Machine workflows with approvals, checks, agents on your own machines, and a history you can read.
8 min read
How Do You Know an Agent's Work Is Good Enough to Send?
Most work you hand an agent has no automatic pass or fail. Here is how to decide it is good enough without redoing it yourself.
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7 min read
Keep Your Agents From Quietly Burning Through Your Budget
Autonomous agents can run up real costs through retry loops and runaway work. Set budgets, retry limits, and stop conditions before the spend, not after.
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7 min read
Turn Your Weekly Recurring Work Into Workflows You Trust
The same work comes back every week. Here is an operating model for turning recurring jobs into repeatable workflows you can hand off and trust.
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7 min read
AI-Native Companies Need Machinery, Not Magic
Why reliable agent work depends on verification, context, approvals, and durable workflow history, not just better agent interfaces.
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6 min read
The Inbox Is the Missing Control Surface for AI Agents
Why approvals, questions, failures, and exceptions need a shared inbox before agent work becomes trustworthy at company scale.
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7 min read
AI Kanban Is Not Enough for Recurring Agent Work
Why boards help visibility but fail to provide the approvals, verification, history, and control recurring agent work actually needs.
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6 min read
A Practical Model for Human-Agent Collaboration in Small Software Teams
How small teams can assign work to agents without losing review quality, context, ownership, or accountability.
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6 min read
From Prompt Reuse to Repeatable Workflows
Why saved prompts stop being enough once agent work repeats, and what a real repeatable workflow needs instead.
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6 min read
Controlled Autonomy: Let Agents Work Without Letting Them Drift
How to give agents real autonomy with explicit boundaries, approvals, verifiers, and escalation paths instead of vague trust.
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