AI agents are systems problems
The difficult part of useful agentic AI is not the model call. It is everything required to make judgment and action reliable.
Insights
One publication. Many difficult questions.
Technical articles, research, engineering notes, and professional analysis about intelligent systems and the real engineering required to make them useful.
Topics describe what an idea is about. Formats describe what kind of piece it became.
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AI agents are systems problems
Models matter. But architecture, context, permissions, evaluation, and operations decide whether an agent becomes infrastructure or remains a demo.
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| Title | Format | Topics | Published | Read time |
|---|---|---|---|---|
| Agentic Engineering Through a DevOps Lens | article | AI & Agent Systems, Engineering, Infrastructure & Platforms | 12 min | |
| Agents and Skills: The Worker and the Playbook | article | AI & Agent Systems | 8 min | |
| Tokenization vs. Embeddings: From Text Pieces to Meaning | article | AI & Agent Systems, Engineering | 10 min |