How to Set Clear Goals for AI Prompts

The most underrated skill for 2025? (Not code. Not ads. Not funnels.) It's knowing how to talk to AI. Seriously. Prompt writing is becoming the new leverage skill. And no one’s teaching it right until now. I’ve built AI workflows for content, marketing, and growth. They save me 10+ hours/week and cut down on team overhead. The key? 👉 It’s not just asking ChatGPT questions. It’s knowing how to structure your prompts with frameworks like these: Here are 4 frameworks I use to get 🔥 outputs in minutes: 1. R-T-F → Role → Task → Format “Act as a copywriter. Write an Instagram ad script. Format it as a conversation.” 2. T-A-G → Task → Action → Goal “Review my website copy. Suggest changes. Goal: Boost conversion by 15%.” 3. B-A-B → Before → After → Bridge “Traffic is low. I want 10k monthly visitors. Give me a 90-day SEO plan.” 4. C-A-R-E → Context → Action → Result → Example “We’re launching a podcast. Write a guest outreach email. Goal: Book 10 experts.” You’re not just prompting. You’re building AI systems. Mastering this skill will: ✅ 10x your productivity ✅ Reduce dependency on agencies ✅ Help you scale solo (or with a lean team) The AI era belongs to the strategic communicators. Learn how to prompt, and you won’t need to hire half as much. 📌 Save this post. 🔁 Repost if you believe AI is a partner, not a replacement. #ChatGPT #PromptEngineering

In working with AI, I’m stopping before typing anything into the box to ask myself a question : what do I expect from the AI? 2x2 to the rescue! Which box am I in? On one axis, how much context I provide : not very much to quite a bit. On the other, whether I should watch the AI or let it run. If I provide very little information & let the system run : ‘research Forward Deployed Engineer trends,’ I get throwaway results: broad overviews without relevant detail. Running the same project with a series of short questions produces an iterative conversation that succeeds - an Exploration. “Which companies have implemented Forward Deployed Engineers (FDEs)? What are the typical backgrounds of FDEs? Which types of contract structures & businesses lend themselves to this work?” When I have a very low tolerance for mistakes, I provide extensive context & work iteratively with the AI. For blog posts or financial analysis, I share everything (current drafts, previous writings, detailed requirements) then proceed sentence by sentence. Letting an agent run freely requires defining everything upfront. I rarely succeed here because the upfront work demands tremendous clarity - exact goals, comprehensive information, & detailed task lists with validation criteria - an outline. These prompts end up looking like the product requirements documents I wrote as a product manager. The answer to ‘what do I expect?’ will get easier as AI systems access more of my information & improve at selecting relevant data. As I get better at articulating what I actually want, the collaboration improves. I aim to move many more of my questions out of the top left bucket - how I was trained with Google search - into the other three quadrants. I also expect this habit will help me work with people better.

More and more people are telling me they're excited to dive into AI automation, but a lot want to skip straight from using free ChatGPT to creating advanced automations overnight. Before you dive headfirst into AI automation, I recommend getting good at two critical foundational AI skills first 👇 1️⃣. Become adept at crafting effective prompts for advanced AI models (GPT-4, Claude 3 Opus, Gemini Ultra). The success of AI automation hinges on consistent prompt performance to achieve desired, reliable outcomes. This means understanding how to craft great prompts, as well as understanding how AI interprets prompts, is vital for generating automation results that align with your goals. Honing your skills in interacting with AI to achieve consistent results is the first step towards being able to automate AI processes successfully. 2️⃣. Develop a deep understanding of prompt chaining. Once you understand how to write great prompts, the ability to seamlessly chain prompts together is essential. The real magic of AI automation unfolds when the output from one prompt smoothly transitions into the input for another, creating a chain of actions that leads to your intended end result. This requires a deep understanding of how to connect prompts in a workflow in a way that facilitates a continuous movement toward your objectives. To start building this understanding and skill, you need to start paying close attention to what happens at each step after the initial prompt in your chatbot conversations. Develop an understanding of the sequence of prompting steps necessary to reach your final goal. This understanding will be key to designing effective automation workflows and writing your high performing automated prompts.  👉The potential of AI automation is extraordinary, but tapping into that potential relies on your proficiency in creating precise prompts and strategically planning their sequencing. I know we all want to skip the learning and just be proficient at the cool things. Unfortunately that's not how it works. Undertaking AI automation without a solid grasp of these two components is setting you up for frustration and failure. If you're interested in getting better at prompting and chaining your prompts, and you're a marketer that's not already following me on here, make sure to hit that follow button. I train marketing teams at companies ranging from Series A startups to Fortune 50 household names on how to use generative AI, and I share a TON of free education on LinkedIn that will help you learn more every day (and I'm also working on an online course for those who really want a solid foundation of generative AI skills for B2B Marketing, so you have the understanding and knowledge to take on some of these more advanced use cases). I'm happy to help support you on your learning journey and help you get to the point you can do the REALLY cool things!