Hallucinations, Guardrails, and the Road to Reliable AI

Language models sound authoritative but do they prove trustworthy?

Beneath the fluent prose sits a probability engine that can dazzle with insight, or drift into confident fiction.

You'll learn why "good‑enough" prompts rarely are, how small design choices ripple through whole workflows, and where measured human judgement still outruns automation.

Scroll on for a clear, candid tour of AI's strengths, its blind spots, and the engineering decisions that turn raw capability into reliable results.