What should you do if the AI’s first response isn’t quite right? The short answer: treat it as a starting point, not the final draft.

When an AI confidently presents information that is factually incomplete or incorrect, it is commonly called a "hallucination." Here is the reality of why this occurs and how you can manage it.

If you’re just getting started with Emerge.ai, the fastest way to see value is simple: begin with the work you already do every day.

Token burn refers to the rate at which AI systems consume tokens during input and output processing. Tokens are the units AI models use to read and generate text. A token may be a word, part of a word, punctuation, or a symbol. When you send a prompt to an AI model, the system processes input tokens and then creates output tokens in response.

If you’ve spent any time learning about AI, you’ve probably come across the word “token.” It shows up often in discussions about models, pricing, and efficiency. But what does it actually mean and why should it matter to you?

When you're choosing an AI model inside Emerge.ai, you might notice two distinct types available to you — 3rd Party models and Emerge Private models. But what's the difference, and why does it matter?