Blog
Six short articles on shipping generative AI in production: where to start in business, team integration, enterprise failure modes, why POCs stall before going live, how to evaluate a model under real operating conditions, and what deployed agent systems with MCP and LangGraph teach once the demo is over.
18 May 2026
What production agent systems teach in practice about MCP, LangGraph, multi-agent coordination, and the guardrails that prevent a slick demo from becoming an operational mess.
Read article15 May 2026
A practical framework for evaluating an LLM system in production without confusing benchmark scores with real quality, reliability, or business value.
Read article12 May 2026
A practical framework for starting a generative AI initiative in a business without getting trapped in noise, demos, or bloated roadmaps.
Read article11 May 2026
Why AI proof-of-concept projects stall before production, and how to fix the data, ops, governance, and technical debt issues blocking rollout.
Read article10 May 2026
A practical framework for integrating generative AI into a tech team in 2025 without sacrificing quality, security, or accountability.
Read article3 May 2026
Three recurring mistakes that slow down enterprise AI projects, and a more durable way to scope, build, and ship them.
Read article