The Three Essential Prompt Engineering Frameworks

Get sharper, more strategic AI results by mastering the frameworks top creators and marketers use to get clearer, smarter outputs. Every single time.

Today’s prompt hands you the cheat codes: three dead-simple frameworks (with names you’ll actually remember) that turn prompt engineering from a guessing game into a repeatable art form.

Today’s Prompt: Create an infographic of prompt engineering frameworks

Design an infographic in 16:9 ratio that clearly explains these three frameworks for generating high-quality prompts for AI tools.

The infographic should break down each framework with a name, purpose, and context. Use simple colors, clean lines, and shapes.

Frameworks to Include and copy:

1. “Get the Goal” Framework

Purpose: Start with the desired outcome, then give the AI what it needs to get there.

Formula:

– State the end goal clearly

– Add audience, use-case, or background context

– Specify tone, format, or limits

2. “Solve This” Framework

Purpose: Present the AI with a problem and guide it through structured problem-solving.

Formula:

– Define the problem clearly

– Ask for an analysis or breakdown of causes

– Request specific solutions, ideas, or next steps

3. “Inspector” Framework

Purpose: Ask the AI to analyze or audit something with clear inspection criteria.

Formula:

– Define what to inspect and why

– Give specific lenses or evaluation criteria

– Instruct how to structure the findings (e.g. strengths, weaknesses, action items)

Result:

Why we like this prompt:

- The prompt sets a precise goal by instructing the AI to create an educational infographic for a well-defined professional audience.

- It provides clear, structured details for each framework, including purpose, formula, and an example to guide content creation.

- The prompt specifies design and layout expectations for the infographic, ensuring outputs are both visually cohesive and easy to follow.

- Target user personas and intended use cases are explicitly identified, helping the AI tailor tone and relevance.

- Visual and structural requirements, such as icons and visual blocks, offer concrete constraints that direct both style and organization.

- The inclusion of real examples and step-by-step formulas minimizes ambiguity and supports accurate, actionable content generation.

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