ChatGPT analysis: Understand why 800 million weekly users choose it, but also why RLHF training creates people-pleasing responses that lack depth. Evidence-based review of ChatGPT's 94.6% mathematics performance, 62.5% market dominance, and critical limitations for business workflows.

Google Gemini Analysis: Cut through AI hype with evidence-based insights on Google's multimodal AI. Discover why 650 million users choose Gemini, its 81% multimodal benchmark performance, and whether it's right for your business workflow. Key features, limitations, and Google ecosystem integration.

Prompt engineering has become one of the most misunderstood concepts in AI today. Most people think it's about learning templates like "act as an expert" or crafting detailed instructions with specific roles. But real prompt engineering is actually system design for building AI applications at scale. This article explains when you actually need prompt engineering (spoiler: most of us don't) and when simple, natural communication with AI works just fine.

Lawyers are getting fined thousands of dollars for citing fake cases that ChatGPT made up. According to researcher Damien Charlotin's 2025 database, there are now 491 documented cases worldwide where AI hallucinations appeared in court filings. This isn't a tech glitch - it's a fundamental business crisis that's spreading across every industry using AI without proper understanding.

You probably think AI training is about learning prompting techniques and interface navigation, but that's exactly why 48% of employees abandon AI tools after trying them. Most programs teach surface-level skills when people need to understand how AI actually works, creating unrealistic expectations and driving users back to manual processes.