What Is An LLM? The No-BS Guide to Getting Better Results from AI

You’re not getting bad results from AI because it’s “not that good” — you’re getting bad results because you’re asking bad questions. In this episode, Andrew breaks down a simple, repeatable way to prompt LLMs so you actually get the output you want, whether you’re using ChatGPT, Claude, Gemini, or Perplexity.In this episode, you’ll learn:The #1 mindset shift: treating prompting as a communication skill, not a magic trickThe 5 core principles of great prompting (and how to apply them today)How to be clear and specific so you stop getting vague, generic responsesHow to use context from your business (docs, offers, audience) to get tailored answersHow to use examples, guardrails, and guidelines so AI understands what “good” looks likeWhy breaking complex tasks into step-by-step prompts gets better thinking from the modelHow to iterate and refine instead of rewriting your prompt from scratch every timeIf you’ve ever typed “make this better” into an LLM and hated what came back, this episode will show you exactly what to do instead—so every prompt feels more like a collaboration with a smart teammate, not a coin flip.👉 Like the episode? Follow the show and share it with a friend who’s “using AI” but not really getting results yet.