Your AI assistant is not hallucinating. It's guessing, and you asked it to guess.

Short summary

LLMs don't hallucinate; they predict the most likely next token based on your prompt. When outputs are wrong, it's usually because the prompt was underspecified, not a model failure. The fix: write tighter prompts with explicit constraints on inputs, outputs, error handling, dependencies, and edge cases.

• •LLMs are next-token predictors with no internal uncertainty signal
• •Wrong outputs usually stem from underspecified prompts, not model flaws
• •Tighter prompts with explicit constraints fix most output problems

Generated with AI, which can make mistakes.