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We tested prompt repetition on 20 parallel AI agents. Ceiling effects dominated both experiments. The null result is a finding about evaluation design.

Why your AI agent failed: missing decision provenance, not metrics. The 3 observability gaps traditional monitoring won't catch.

7,432 pages to 3-second answers. Production RAG for legacy systems with model-agnostic reranking. No vendor lock-in, validated across 4 LLM families.

Layer AI agents over legacy systems without modernization. 30-80% productivity gains in 3-6 months. Patterns that bypass technical debt.

Slopsquatting: attackers register packages AI hallucinates. XZ Utils showed the stakes. A framework to assess your AI supply chain exposure.

50% cost reduction with subagent architecture for AI coding. Capable models for planning, fast models for building. Real metrics from Goose.

AI code review in CI/CD without prompt injection. Defensive patterns: three security tiers, isolated execution, no secrets in prompts.

From typing code to evaluating proposals. 70-80% time savings when AI explores options, you make the call. Real metrics from production.

GitHub Pages to Cloudflare Pages in 2 hours with zero downtime. AI-assisted DNS, hosting, and CI/CD migration with validation and real metrics.