6 min read
Cybernetics for AI Agents: A Practical Introduction
A practical guide to feedback, control, disturbances, and evidence in AI agent operations.
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Workflows
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
From Feedback to Organizational Learning: How AI Systems Should Improve Their Own Workflows
Safe organizational learning turns execution evidence into versioned, human-approved workflow changes with post-change evaluation.
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7 min read
The Good Regulator: What an AI Agent Must Know Before It Can Act
Reliable agent action depends on a current internal model, versioned policy, scoped memory, and evidence after execution.
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7 min read
Requisite Variety: Why One AI Agent Cannot Run a Company
Ashby's law explains why reliable AI operations need roles, tools, constraints, and escalation instead of one general agent.
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8 min read
The Viable AI-Native Company: Stafford Beer's Five Systems for Human-Agent Teams
Stafford Beer's Viable System Model clarifies operations, coordination, control, audit, intelligence, and policy for human-agent teams.
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10 min read
What Is an AI Agent and How Does It Work?
A practical guide to how AI agents observe, decide, act, verify results, and stop safely while doing real work.
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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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8 min read
Agent Workflows vs Saved Prompts vs Cron Jobs
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
Autonomous Company vs Operating Layer
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
How to Run a Company With AI Without Handing It the Keys
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
Set Up an Autonomous Developer That Fits Your Workflow
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
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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