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Every LLM Has a Superpower and a Blind Spot. I Built a Benchmark Around That Observation
Building a model-selection engine by mapping where each frontier LLM excels in production — and engineering around the gaps.
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I Prompted 5 Frontier LLMs to 'Report Uncertainty' — Here's What Happened to Their Statistical Validity Scores
Engineering uncertainty-aware prompting patterns for production LLM agents — and what actually happens to reliability scores when you do.
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I Ran 163 Benchmarks Across 10 LLMs So You Don't Have To. Here's What I Found
Systematic evaluation across 163 tasks and 10 LLMs — practical model selection guidance for production deployments with real cost data.
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I Built a Benchmark That Proves Most LLM Agents Are Statistically Blind — And Why That Costs Companies Real Money
How a production evaluation system surfaced a critical LLM agent reliability failure — and what it costs when you deploy blind.
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Everyone Is Calling It Prompt Engineering. They're Already Behind.
Why context engineering is replacing prompt engineering in production AI systems — and what to build instead.