Editorial & Research
Insights & Production Notes
Practical, no-fluff writing on shipping AI products, agents, and infrastructure, from prompt to production.
Engineering Architecture
5 min read
From Prompt to Production: What It Actually Takes
A working prompt is 10% of the job. Here is what separates an impressive AI demo from an application that survives contact with real users, edge cases, cost constraints, and enterprise security requirements.
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AI Research & Benchmarks
Q1 2026
GPT-5 vs Claude 3.7 vs Gemini 2.0: The Enterprise Cost & Latency Benchmark
A comprehensive benchmark evaluating token economics, context window degradation, and reasoning throughput across 50,000 real-world enterprise prompts.
Research Briefing Available Upon Request
Cost Intelligence
Q1 2026
How Much Does an Enterprise AI Agent Actually Cost in Production?
Breaking down token spend, vector database operations, context caching savings, and infrastructure hosting for real-world enterprise agent deployments.
Whitepaper Coming Soon