Unlocking the Super Prompt: Advanced Prompting Strategies to Transform Your AI Workflow (Part 2)

In Part 1 of this series, we explored the anatomy of a great prompt, context, instruction, and format, along with three starter frameworks you could put to work right away. If you tried the exercise at the end, you probably noticed how much better your results became just by adding clarity.

But here’s the thing: that was only the beginning.

In this second part, we’re going deeper into advanced prompting strategies. These are the techniques that turn AI into a true partner in your business, not just a fancy tool. And yes, this is where we’ll finally unlock what we call the “Super Prompt.”

Why Advanced Prompting Matters

At first, AI feels like magic. Type something in, get something out. But over time, you’ll notice that simple prompts only get you so far.

If you want AI to help you:

• Write nuanced content that matches your voice

• Handle multi-step tasks without losing track

• Analyze and improve your work (not just spit it back at you)

…then advanced prompting is the way forward.

Let’s get into the how.

Strategy #1: Teach AI Your Style

If you’ve ever thought, “This doesn’t sound like me,” you’re not alone. The solution is to give AI examples of your style before it starts writing.

Prompt Example:

Here are two samples of emails I’ve written to clients. Study them and learn my tone, word choice, and structure. Once you’ve analyzed them, confirm my style back to me in 3 bullet points. Then, using that style, write a new email announcing our upcoming open house this Saturday.

By training the AI on your voice, you shift the results from generic to personal.

Strategy #2: Multi-Step Instructions

Instead of asking AI to do everything in one breath, guide it step-by-step in a single prompt.

Prompt Example:

I need help creating a market update email. Step 1: Ask me five questions to clarify my audience and market. Step 2: Create a draft email using my answers. Step 3: Suggest 3 subject lines optimized for open rates.

Notice how this prompt builds a mini workflow. You’re teaching the AI to follow a sequence instead of rushing to the end.

Strategy #3: The “Super Prompt”

This is the technique that changes everything. A Super Prompt is like giving the AI a blueprint. It’s longer, more detailed, and designed to set expectations for the entire session.

Think of it as the difference between saying, “Build me a house,” versus “Build me a three-bedroom home with a modern kitchen, hardwood floors, an open-concept living room, and a two-car garage.”

Super Prompt Template:

You are [role/identity]. Your goal is to [objective]. You will always [rules or constraints]. When responding, use [tone/voice]. Format answers as [structure]. Before finalizing, check for [specific criteria].

*Note, while this is an example of a super prompt, Ron has created the ultimate super prompt. Check out his training to get it for yourself! 

Example for Real Estate:

You are a professional real estate assistant. Your goal is to help me create client-facing documents that are polished, professional, and clear. You will always use plain language, avoid jargon, and keep paragraphs under 4 sentences. When responding, use a friendly but authoritative tone. Format answers in a clean bulleted list unless I ask otherwise. Before finalizing, check that all details are accurate, concise, and actionable.

When you set the stage like this, every answer the AI gives you will be aligned — without you having to repeat yourself in every single prompt.

Strategy #4: Use Iteration Loops

Instead of treating the AI’s first answer as the final product, build feedback into the prompt.

Prompt Example:

Draft a blog post intro on why brokers should adopt AI training. Then ask me 3 clarifying questions about my audience, goals, and tone. After I answer, revise the draft to be sharper and more engaging.

This forces the AI to collaborate with you instead of dumping out content you have to fix.

Strategy #5: Chain Prompts Across Tasks

Sometimes, you’ll need AI to help with a bigger project that has multiple parts. Instead of asking for everything at once, you can “chain” prompts.

Example Workflow:

1. Prompt 1: “Give me 10 potential blog titles about AI in real estate.”

2. Prompt 2: “Take Title #3 and draft an outline with 5 main sections.”

3. Prompt 3: “Write the first section of the outline in a conversational, educational tone. Keep it under 300 words.”

4. Prompt 4: “Now expand the rest of the outline the same way, section by section.”

Chaining keeps your project focused and prevents AI from going off the rails.

Bonus: Troubleshooting Bad Prompts

Even with advanced skills, you’ll sometimes get mediocre results. Here are quick fixes:

• Output too generic? Add more context and examples.

• Output too long? Set a word limit.

• Tone off? Provide a sample of your voice.

• AI refuses or says “can’t do”? Reframe your instruction as guidance instead of a command.

Your Action Plan

Here’s what you can try today to start using advanced prompting:

1. Write your own Super Prompt for a role you need daily (social media manager, assistant, content writer).

2. Use a multi-step prompt to guide the AI through a process like creating a presentation or report.

3. Test an iteration loop where the AI asks you questions before revising.

Do these three things, and you’ll feel the difference immediately.

Final Word: Mastering the Super Prompt

Prompting isn’t about tricking the AI,  it’s about communicating clearly. The better you guide it, the more it feels like you have a highly skilled teammate at your side.

With the Super Prompt, you don’t just improve a single output. You set the tone for every answer moving forward. That’s why we say this technique changes everything.

Liked what you learned about prompting? Check out Ron’s presentations to master prompting! On top of that, Ron will hand over his tried-and-tested Super Prompt to advance your outputs ten fold. 

Let’s talk today to get you and your team scheduled!