I use these 5 simple ‘Chat GPT codes’ every day — and they instantly improve my results | Tech Radar

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There are plenty of tips and tricks for Chat GPT out there, but most people still treat the chatbot like it's a more polite version of a search engine.

What they don't know is that there's a whole hidden menu of codes you might not know about, shared around online by Chat GPT enthusiasts. I've found them to be very useful in skipping to the kind of answers I'm looking for.

These short prompt cues basically tell Chat GPT how you'd like it to think about a specific answer, cutting through any excess fluff and saving you time. They've become part of the way I talk to Chat GPT that you might find helpful as well.

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ELI5 stands for “Explain Like I’m 5,” which isn't an insult when facing a whole new realm of knowledge. At least as a starting point, a five-year-old's understanding is plenty. So, when caught in a web of confusion, type ELI5: followed by the topic you want to know about.

If a home insurance document says something about, “actual cash value versus replacement cost”, I can type, "ELI5: What is the difference between actual cash value and replacement cost in home insurance?", and suddenly, I am not parsing legal soup anymore.

I even used it when practicing guitar and working to understand how guitar modes are both the same and different musical notes. I asked Chat GPT, "ELI5: what are guitar modes?" and the AI explained how they're "basically different flavors of a scale. Imagine you have the same set of notes, but you start on a different one each time. Even though the notes are the same, it changes the mood. They’re like different emotional versions of the same musical ingredients.”

TLDR is fairly common internet slang, so Chat GPT's understanding of the idea of “too long; didn’t read” isn't surprising. But it's also a useful Chat GPT command.

Just type TLDR and then paste in whatever long text you want condensed. You get an immediate summary without any need to explain what you want in further detail.

I've used it for recipe blogs that insist on opening with a memoir, for parsing subscription cancellation policies, and even for very long group texts that I didn't get to before facing an hour of reading to catch up on.

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I recently had the pleasure of getting a very long list of instructions for an upcoming event that wandered somewhat widely and was apparently formatted in the dark with pool cues.

One TLDR request later, and I had five brief bullet points and assurances that I mainly had to "arrive a little early and make sure your ticket is easy to access on your phone.”

Jargonize is a sillier sort of code, but it has its uses — it makes what you write immediately more complex, often unnecessarily so.

I wouldn't use it in most cases as it largely ends up sounding like the most annoying versions of Linked In posts, but it can be entertaining to sound like a management consultant in unlikely contexts.

Just write "Jargonize:" and whatever you want to formalize it.

For instance, when telling a friend about my need to stop buying random gadgets I don't use often, I made it sound like a much more intense issue with Jargonize, which informed my friend that, “I’m looking to adopt a more intentional approach to purchases and reduce low-frequency gadget acquisitions that add clutter without delivering long-term value.”

Making ordinary life into corporate theater is amusing in small doses, even if the real thing is often irritating.

Almost the inverse of Jargonize is the Humanize code. When something is serious, or it's important to avoid sounding passive-aggressive, Chat GPT is surprisingly useful.

It can call out and advise on how to go beyond cliches and stiff formality in condolence notes, and avoid accidental insults.

Paste in your text after writing "Humanize:" in the prompt, or just explain what you're looking for. Clunky messages that sound fake-friendly or just want a text sound less passive-aggressive and more genuinely clear. It's useful.

As the chatbot pointed out, "sometimes the line between 'gentle reminder' and 'mid-level emotional warfare' is very thin."

Richard Feynman created the Feynman Technique as a streamlined method for building real understanding. The physicist is often quoted as saying if you cannot explain something simply, you probably do not understand it properly.

The prompt is slightly longer than the others, but still just a short phrase. Write, "Teach me this using the Feynman Technique," followed by the topic.

The AI then goes through the four steps of the technique, explaining it simply, identifying gaps, simplifying further, and reviewing.

You can also ask Chat GPT to quiz you, point out what you are missing, and then help you explain it back. This is especially useful for anything you keep “sort of” understanding and then immediately forgetting, like how chargers work. That is where it becomes more than just a neat explanation machine.

It turns into a learning loop. I've used it for music theory, economics, and plenty of other topics. Using the Feynman Technique, Chat GPT can walk through it in steps and then check whether I actually get it.

These codes are just tiny instructions that help Chat GPT pick the right mode to interact with you. They aren't complicated, and that is really the whole point. Most of the time, simple prompts work better than sprawling multi-paragraph ones. The longer ones have their place, but they won't be go-tos for everyday use.

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Eric Hal Schwartz is a freelance writer for Tech Radar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as Open AI’s Chat GPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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