Why Your AI Prompts Suck (And How Expert Frameworks Fix It)

Most people use AI like a search engine with attitude. "Write me a marketing plan." "Help me with positioning." "Create a sales email."

The AI tries. It really does. But without context, without methodology, without examples of what "good" looks like — you get generic output. The kind of thing that sounds plausible but doesn't actually help.

The Problem with Prompts

A prompt is an instruction. "Do this thing." It assumes the AI already knows how to do it well.

But here's the thing: AI models are trained on everything. They've seen brilliant positioning strategies and terrible ones. Masterful sales emails and spam. Without guidance, they average toward the middle.

What Expert Frameworks Provide

When we encode an expert framework like April Dunford's positioning methodology into a skill, we're giving the AI:

1. The mental model — How experts think about this problem
2. The process — Step-by-step methodology that actually works
3. Examples of excellence — What great output looks like
4. Templates — Structures that encode best practices

The AI doesn't have to guess. It follows the framework.

The Difference in Practice

Without a skill: "Help me position my product" → Generic positioning statement that could apply to any product

With the Positioning Expert skill: "Help me position my product" → Walks through competitive alternatives, unique attributes, value proposition, target customer, and market category — exactly like April Dunford would

Why This Matters

You're not paying $500/hr for a consultant's time. You're paying for their methodology. Their framework. Their way of thinking about problems.

Skills encode that methodology for AI. Now your Claude or GPT thinks like the expert — and you get output that actually moves the needle.

This is why we built ClawFu. 100+ expert frameworks, ready to load into any AI assistant. Browse the library →