In business, a reliable AI agent that works consistently beats a brilliant one that fails unpredictably. Engineering practices for building AI agents that companies can actually trust in production.
Most AI roadmaps focus on capabilities and features when they should focus on reliability and failure modes. With 95% of AI pilots never making it to production and 73% of enterprise deployments failing, your roadmap must prioritize reliable agent patterns over impressive demos. Start with constraints, measure operational health, and plan for continuous iteration.
Production LLM success depends on applying time-tested operations principles rather than treating AI as something fundamentally special. The teams that win treat LLMs as infrastructure that needs operational discipline, monitoring, and capacity planning instead of magic that needs special handling.