Tom Porkka
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Notes on building reliable agent systems, designing useful metadata, and making technical products feel sharper in practice.

Reasoning vs Execution: Where AI Actually Fits in Automation

Durable automation systems separate AI-driven interpretation from deterministic execution instead of treating models as the entire workflow engine.

AI SystemsAutomationSystems Design

May 17, 2026

If Creation Is Free, What’s Worth Creating?

As AI pushes creation costs toward zero, attention, taste, perspective, and meaning become the scarce layer.

AICreativityCulture

April 30, 2026

Designing agent systems that don’t break

Robust agentic systems depend less on clever prompting and more on clear structure, constrained interfaces, and failure-aware orchestration.

AI SystemsReliability

March 20, 2026

Metadata structure for agentic consumption

Metadata becomes materially more valuable when it is shaped for machine interpretation, retrieval, and decision support instead of passive storage.

MetadataAISystems Design

February 28, 2026

Why most AI products feel slow

Perceived latency in AI products is often a product design problem as much as a model performance problem.

ProductAI UX

January 17, 2026

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