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#ai-agents

3 articles

architectureai-agentsexplainability

The Extraction Pattern: Using LLMs as Data Operators, Not Decision Makers

LLMs extract structured data from unstructured input. Rules decide what to do with it. A typed contract between the two layers makes the system testable, auditable, and reproducible.

ai-agentsarchitectureexplainability

AI Under Rules vs. AI Under Hope: Two Architectures for Production Agents

The LLM decides everything or the LLM extracts and rules decide. Two architectures, different audit, compliance, and failure recovery outcomes.

ai-agentsgovernanceobservability

Why 95% of Enterprise AI Pilots Fail — and It's Not the Model's Fault

MIT, Gartner, and S&P Global data point to the same pattern: the gap between demo and production kills AI projects. What the 5% that succeed do differently.