Tag: reliability
AI does tasks. It does not do jobs.
Ten years building Tallyfy, and a year pointing AI agents at it, taught me one blunt thing. A job is a chain of tasks, and AI reliability multiplies down that chain until the whole thing is a coin flip. The fix is not a smarter model.
Building reliable AI agents - why boring beats brilliant
OpenAI GPT-4o failed 91.4 percent of office tasks in testing. Reliable AI agents require engineering discipline over model brilliance, with proven patterns like circuit breakers and error budgets that turn prototypes into trusted production systems.
Building your AI roadmap: the template
Most AI roadmaps focus on capabilities and features when they should focus on reliability and failure modes. RAND Corporation found more than 80% of AI projects fail before production, and only a small fraction of organizations have scaled AI fully across the enterprise. Your roadmap must prioritize reliable agent patterns over impressive demos. Start with constraints, measure operational health, and plan for continuous iteration.
LLMOps is more Ops than LLM
LLMOps success depends more on proven operations discipline than AI-specific tooling. With a large share of agentic AI projects facing cancellation in the next few years, the teams that survive apply Google SRE principles to LLM infrastructure rather than treating it as something that needs special handling.