Why Your AI Prompts Get Generic Results (and How to Fix It)
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When you ask most people, they think they're doing AI pretty well. But it's only when they're kind of confronted or shown what other people are doing that they realize they're just scratching the surface.
If you're just chatting—what we call boomer prompting—you're probably actually not using AI all that well. You're treating an incredibly powerful tool like a search engine or a simple assistant, and that's why your results are mediocre.
The Problem With Just "Chatting"
The difficulty with even figuring out how to get a simple approach to work comes down to one thing: we just actually don’t think in systems.
You get hired, you train, and they tell you do this. You follow the directions and instructions you’re given. It's actually really stressful at the beginning, then it kind of tapers off when you figure out how to do it. And then it gets boring when you do it too many times.
But a lot of times you don't step back and look at the actual simple approach underneath it. We look at work as a series of repeated actions, not a repeatable way.
The Consistency Killer
Because most people don't think that way, they look at their work and it feels like it has a lot of variety, or let’s say variability to it. When you have a high degree of variability, you can't get a consistent output.
That's the entire struggle with AI. Your work lacks near perfect consistency, and that ruins your professional credibility.
You must think in simple approaches in order to create a repeatable way to work with AI. That repeatable way is essentially just trying to like mirror our simple approach and decide where it makes more sense to add AI into that versus ourselves.
The Missing Ingredient: Context
AI is very good at a lot of different things. But here is the most important part you must understand: AI still misses the context of your situation.
You can't have an AI deployed looking and gathering all the information from every end of the organization and feeding it into some big computer to process all of that. That’s still a long ways away.
Your job is to bring that context. Your input is needed in all of those different areas that are bringing the context from their situations and then feeding it into the AI. That’s the usefulness of humans inside of all of this.
Your First Step: Create a "Context Package"
Stop writing a vague prompt and expecting a miracle. You've got to give the AI the external context it's missing. That's how you make your output specific, instead of just... generic.
For one repetitive task, your first step is to build a simple Context Package. This is the guiding material the AI needs to know to get the job done right.
Example: Generating a Research Brief
Use a smart AI tool, like Gemini’s Deep Research feature, to quickly grab high-quality knowledge:
- Action: Ask the tool to research something directly relevant to what you're working on (like "The top three sales objections in the nonprofit space" or "What competitor X is saying about its new product").
- Input Document: Download those results as a Markdown file. Now this document acts as the AI’s knowledge base, and it'll make its answer much, much better.
Your Context Package should include:
Guiding Research: That research brief you just generated, or any other relevant document (download it as a Markdown file).
The "Good" Example: 1-2 examples of your best past work so the AI can copy the style and structure.
Constraints Document: A simple document that spells out the basic rules—the stuff you can't change (like the target length, the specific tone of voice, or any required data points).
Look, this isn't hard. It's the first step to stop scratching the surface and start using AI to get impressive results.
Ready to Go From "Chatting" to Consistency?
You're already doing the work of providing context, but you're doing it inefficiently—one chat at a time. Building this repeatable way on your own is hard. You need a framework.
The 7-Day Challenge was designed to give you that exact framework, guiding you step-by-step from 'boomer prompting' to building a reliable, context-rich simple approach.
Start bringing context and unlock a repeatable way to get consistently impressive results.