AI Agent know-how
Articles on working with AI Agents: preparing inputs, choosing a runtime and learning the key ideas behind them.
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Infrastructure.
A comprehensive architectural evaluation of AI Agent runtimes: When to execute locally on engineer workstations versus managed cloud enclaves, and how to read compatibility specifications.
Best Practices.
The output quality of an autonomous Agent is decided before execution begins: A practical guide to structuring input datasets, reference schemas, and context constraints.
Architecture.
Explore the modular architecture of AI workflows: Why standalone prompts fail to scale across enterprise teams, and how SKILL packages standardize Agent execution capabilities.