How to Talk to AI: The Guide to Better LLM Prompts

Dominic Anderson June 15, 2026

Key Takeaways

LLMs are great tools, but they can’t read your thoughts.
Better LLM prompts require both clarity and simplicity.
First responses are seldom ideal. Refining initial responses is just as important.

LLMs and chatbots are a great way to get information, brainstorm ideas, and plan things out. But AI is a tool, not a magic answer to every question. And while you wouldn’t expect a paintbrush to know what’s in your head and then paint it, you can’t expect AI to work at its best without knowing how to best frame your input.

In this article, we’ll be looking at writing better LLM prompts.

Writing Better LLM Prompts – A Multi-Step Approach

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There’s a lot you can do to improve your current prompts, and we’ve divided them into subsections for easier reference.

Clarity

How to write better prompts for LLMs starts with your approach. In all aspects, clarity and simplicity should be the key. Let’s take a look at what makes a clear prompt:

Persona – How do you want the LLM to answer your prompt? What role should it take? Should it write an article as an expert or an enthusiast? Telling the AI what role it should adopt and characteristics it should have can go a long way.
POV – AI tends to stay as neutral as possible by default. If you want it to pick a side, you need to tell it so.
Task – What do you want the LLM to do? If you want a short bio designed, tell it directly. Open-ended instructions deliver hazy, general results.
Context – What environment is the answer fitting into? Are there previous examples of work you can include? Can you link to sources or include quotes? Is this a local, national, or international response?
Details – It’s better to include what details you want rather than leave it to the LLM. If you want dates included or sources cited, state this clearly in the prompt.

You need to guide your LLM, much as you would guide your brush along a canvas to get desired results.

Simplicity

A major factor in LLM best system prompts is a clear prompt is its simplicity. Your input must be as simple as possible. This means:

Express yourself well – State what you want upfront, and leave as little to guesswork as possible.
Use natural language – A conversational voice will better help the LLM understand what you need.
Eliminate fluff – Fine-tune and rephrase your prompt to eliminate as many unnecessary words and concepts as you can. Don’t use three words where one will do.

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Things aren’t always perfect on the first pass. In fact, most times, the key to good LLM responses is knowing how to refine in your subsequent prompts. Here are a few pointers:

Constraints – Response too long? Tell the AI to chop it up into bullet points. Want your poem to rhyme? Give the LLM the scheme. Tell it how to constrain its output for your needs.
Expanding and minimizing – A response might gloss over areas you want to dwell on or overaccentuate what’s unnecessary. Tell the LLM in your next prompts where to focus and where to skim.
Examples – If you need more quotes, data, charts, or evidence that can be linked to reliable sources, tell the LLM where and in what capacity.
Rephrasing – If the AI’s response isn’t put in quite the way you want, or you find that your initial prompt didn’t express your thoughts the way you want, don’t hesitate to change your phrasing or ask the LLM to rephrase its own.

Just remember, refinement and patience are the keys to success. First drafts are seldom sent to the publisher after all. Keep at it and remember what you want, but remember that the AI isn’t a mind reader. Express yourself.