7 min read
A Self-Improving Company Is a Loop You Can Trust
The self-improving company is the right idea. Without verifiers, ownership, and durable history, the loop drifts instead of improving.
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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.
7 min read
The self-improving company is the right idea. Without verifiers, ownership, and durable history, the loop drifts instead of improving.
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6 min read
Sam Altman's friends are betting on a company with one employee. Here's what an actual week running one looks like.
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7 min read
Workers spend hours a week botsitting AI agents: feeding context, catching mistakes, cleaning up. Autonomy levels and one inbox fix why.
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8 min read
A step-by-step operating model for running a coding agent through your existing tracker, repo, and review step, gated by planning and risk scoring.
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7 min read
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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8 min read
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
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
Why reliable agent work depends on verification, context, approvals, and durable workflow history, not just better agent interfaces.
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7 min read
Why boards help visibility but fail to provide the approvals, verification, history, and control recurring agent work actually needs.
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