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How Small Software Teams Should Operate AI Agent Work
Real task data shows why small teams need shared ownership, focused decision queues, clear checks, and task-level agent costs.
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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.
8 min read
Real task data shows why small teams need shared ownership, focused decision queues, clear checks, and task-level agent costs.
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5 min read
One person with AI matched a two-person team, worked faster, and crossed expertise boundaries in a large field experiment.
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8 min read
Most AI company tools assume you are starting from a prompt. Real businesses already run. The better model plugs agents into the stack you have.
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10 min read
Why an AI-native company is a team where humans and agents share the work, not an org chart of role-bots you approve from above.
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Why approvals, questions, failures, and exceptions need a shared inbox before agent work becomes trustworthy at company scale.
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6 min read
How small teams can assign work to agents without losing review quality, context, ownership, or accountability.
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