Why AI Agents Need the Right Goal, Not an Impossible One Writer’s Note: This Article is for those...
Vertical AI startups promise deterministic agents, but LLMs are probabilistic by math (next-token prediction)—no RAG or observability layer fixes this foundation. Tech managers and CTOs must accept this inherent drift and prioritize continuous auditability + human governance over impossible determinism—the only path to production reliability.
Why AI Agents Need the Right Goal, Not an Impossible One
Writer’s Note:
This Article is for those who are building Vertical AI Solutions, for those who believe in science and specially for those who believe LLMs with all these generative powers are still scientific inventions and they fall under rules of mathematics and science
The Illusion of the AI Hype Cycle
Almost every AI startup right now is promising some version of reliable, production-ready agents.
And most companies are struggling to bring them together.
Eval engineering: The missing piece of agentic AI governance - SiliconANGLE
As agentic systems become more autonomous, the need for responsible AI increases.
Agentic AI is software built on a large language model (LLM) that can pursue a goal by taking actions on its own. It uses tools,…
As AI systems shift from answering questions to taking action, enterprise trust has to be verifiable while the work happens, not…
Companies are chasing tenfold AI gains, but many projects are failing fast. We break down the real risks and show you how to turn…
