TOPIC HUB // 6 ESSAYS
AI Agents
Agents write; humans verify. These essays are about the part nobody demos: what it costs to prove agent output is correct, who owns the orchestration layer, and how to measure autonomy you can actually accept.
Proof-Adjusted Autonomy: The 90% Agent Is a 61.6% Agent
Your agent is 90% autonomous on the demo slide and 61.6% autonomous in the audit. PAA is the metric that explains the difference — and Proof Debt is where it goes.
READ →Verification Cost Is the New Bottleneck
What's being automated isn't engineering judgment, it's transcription cost. AI collapses creation toward zero while verification cost holds. Engineers move up the stack.
READ →The Unit of Work Is the Agent-Hour
OpenAI's top employees run more than 60 hours of agent work inside a 24-hour day. That isn't overtime. It's a different unit of work: the agent-hour.
READ →Who Owns Your Harness? The Layer Above the Model
Most companies think they're buying AI. Really they're wiring their whole execution layer around one vendor. That's where lock-in begins.
READ →Language World Models: Predict Before You Act
Most agents learn by acting and finding out. Qwen-AgentWorld learns to imagine the world first, then act. The simulator is now a public good.
READ →Execution Architecture Beats Model Capability
AI doesn't fail on capability. It fails on the validation structures, decision chains, and error economics companies never built. Execution architecture beats model capability.
READ →Read these before the feed catches up.
Every essay here is published first at piszczek.pl. Follow along on LinkedIn or Substack.
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