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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Blog
Blog
Practical posts on turning recurring work into controlled Task Machine workflows with approvals, verifiers, local runtimes, and inspectable history.
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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7 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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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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