AI Prompting 2.0: Simple Strategies to Get Better Results from Modern LLMs

When business leaders consider AI, many can feel as though they’re falling behind. With so many AI tools out there, and the know-how required to take advantage of what they offer, it can feel overwhelming to figure out which tools you should be embracing and how to embrace them. ‘Spoiled for choice’ or ‘analysis paralysis’ can lead to procrastination in choosing tools and can make leaders feel like everyone else “gets it,” while you’re left feeling like you don’t know where to begin. The truth? Nobody has it all figured out. AI technology is evolving so fast that feeling behind is practically universal.

So, what can you do to overcome the slump of feeling left behind?

First, you need to understand that the skills required to use AI well have changed. What many people still believe about prompts is outdated. You no longer need to “speak AI language,” master clever hacks, or download a prompting cheat sheet to get good results. ChatGPT, Copilot, Google Gemini, Claude, and so many other LLMs are mastering conversational prompts and are becoming more capable of accurately interpreting prompts, resulting in responses you were hoping for.

AI is becoming capable of doing much more of the heavy lifting for you—if you let them.

So, how can you free yourself from thinking that you need to take a course in effective AI prompting? Here are a few practical Prompting 2.0 strategies designed to make AI easier—and more useful—than ever.

1. Stop Treating AI Like Google Search

Many professionals still interact with AI the same way they interact with a search engine: short, keyword-heavy questions. The problem is that AI performs best when you do the opposite.

Instead of trying to compress your thoughts into a single perfect query, just tell it what you’re wondering—naturally, conversationally, in your own words.

If you’re unsure how to phrase something, say exactly that.
“I’m not sure how to describe this, but here’s what I’m trying to figure out…”

Modern LLMs can interpret context far better than they could a year ago. You don’t need to decode a secret language. The model adapts to yours.

2. Ask the AI to Write the Prompt for You

This is the biggest shift most people haven’t realized yet:
You don’t need to write good prompts anymore.

Instead, let the AI do the work of creating your prompt.

If you know what outcome you want, but not how to ask for it, simply tell AI:

“Write the prompt you need from me to produce X.”

For example, when preparing a presentation, instead of crafting a detailed structure, you can give AI a rough paragraph of your ideas. It will clarify a few details, build the full prompt itself, and then execute it—often producing a result that’s remarkably close to final-draft quality.

This single technique bypasses the old “prompt engineering” problem entirely.

3. Let AI Interview You

Another highly effective strategy—especially when you need content or clarity—is to reverse the conversation.

Ask the AI:

“I don’t know where to start. Interview me on this topic so we can develop content together.”

This turns the model into a thinking partner. It asks intelligent questions, uncovers angles you might not have considered, and helps you refine your ideas until you reach usable output. It’s one of the fastest ways to turn a rough concept into a polished article, email, or presentation.

You can use this both to get a better prompt to begin creating content or to explore a topic where you have expertise, but are just having a difficult time getting your thoughts together.

4. Use Voice Conversations for Faster Thinking

Many people are unaware that most leading AI tools now offer voice-based interaction. Speaking your thoughts aloud is much faster and more natural than typing—and the AI can ask clarifying questions in real time.

Users often report this feels more like brainstorming with a knowledgeable colleague than operating a computer. You can ask for summaries, dictate tasks, explore complex topics, or capture ideas you want emailed to you later.

If typing has slowed your adoption of AI, voice may be the breakthrough you need.
Using voice-to-text will help you to not overthink writing, editing, and re-writing your prompt. It also frees you to share more details with the AI at a faster rate. So, turn on your mic and begin rambling. The AI will have more information to explore and will also help you get your point across more clearly. 

5. Ask One AI to Create Prompts for Another

Today’s ecosystem includes dozens of specialized tools—Gamma for presentations, Scribe for documentation, Suno for music, and more. You don’t need to memorize how each one works.

Just tell your main AI assistant:

“Write a Gamma prompt for a presentation on X.”
“Write a Scribe prompt to generate procedure documentation for Y.”

It connects the dots for you, producing platform-specific prompts that improve quality and save time.

The Bottom Line: Talk to AI Like It’s a Person

If there’s one takeaway, it’s this:

Stop trying to master specific prompts. Start embracing prompting strategies and having conversations with AI.

Tell the AI what you need, even if you don’t know how to describe it. Tell it your uncertainty. Tell it to write the prompt, interview you, or clarify your thinking. Once you use AI this way—and build the daily habit of experimenting for even 30 minutes—you can quickly erase the feeling of falling behind with your AI prompting.

In addition to improving your AI prompting skills, there are many other strategic AI questions or topics to solve. Governance, security, and organizational adoption can require some outside expertise. This is where partnering with an IT services team that has AI expertise can play a big role.

If you have AI questions that go beyond prompting, Snap Tech IT can help.