Production LLM Selection Decision Framework: 12-Factor Analysis
A 12-factor framework for selecting an LLM for production use in 2026 — beyond benchmarks, into the operational dimensions that decide success.
How to use AI voice and chat agents to grow revenue, cut costs, and improve customer experience — AI strategy, sales, customer service, lead generation, enterprise adoption, and real customer results.
From the blog
A 12-factor framework for selecting an LLM for production use in 2026 — beyond benchmarks, into the operational dimensions that decide success.
LLM provider pricing has matured beyond per-token list pricing. The 2026 commitments, reserved capacity, and spot tiers worth negotiating.
Beyond pundit takes — what the 2026 BLS occupational data actually shows about AI displacement, augmentation, and wage effects.
Measurable, defensible SLAs for AI systems in 2026 — what is realistic, what is aspirational, and how to set them honestly.
How leaders should think about Claude Code 2.1 San Francisco — adoption patterns, ROI, competitive dynamics, and what developer productivity means for the next 12 months.
How leaders should think about MCP Minneapolis — adoption patterns, ROI, competitive dynamics, and what retail AI Midwest means for the next 12 months.
LlamaCloud's managed parsing, indexing, and retrieval is now production-ready. The build-vs-buy math for a 5-person AI team weighing operational cost honestly.
SMB Founder Playbook perspective on Claude Code 2.1 ships background agents, sub-agent spawning, and a hooks API that turn it into a true multi-agent coding platform.
SMB Founder Playbook perspective on Haiku 4.5 closes the gap with Sonnet on tool calling while staying cheap and fast — the right pick for high-throughput voice and chat agents.