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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8 min read
A cron job that runs an agent prompt nightly fires blind. Recurring agent work needs a controlled loop, not a scheduler.
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7 min read
Two models for letting AI run your business: a company that runs itself, or an operating layer you direct. The honest tradeoffs.
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11 min read
Running a company with AI works as a controlled operating model, not a black box. Here is the model: workflows, one inbox, autonomy levels, budgets, verifiers.
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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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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
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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6 min read
Why saved prompts stop being enough once agent work repeats, and what a real repeatable workflow needs instead.
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