Prompt Evolution: TAG (Task – Action – Goal)

AI prompts frameworks structure TAG landing page clarity

📌 PROMPT EVOLUTION: Exploring AI Frameworks
🎯 Today’s topic: TAG (Task – Action – Goal)


🔹 What is TAG and why use it?

The TAG framework helps you create structured prompts by adding a specific action and a clear goal.
It’s especially useful when you want AI to generate content that serves a real business purpose.


📌 How does it work?

You define:

1️⃣ Task → What needs to be done?
2️⃣ Action → How should AI do it?
3️⃣ Goal → What’s the desired outcome?


🔍 Example (old version):

Write landing page text.

💡 The problem:

  • ❌ Too vague
  • ❌ No clear structure or expectations
  • ❌ No defined goal → AI doesn’t know what to focus on

🔥 Improved TAG version — more precise, more useful

Updated prompt:

Write landing page copy to promote an online course about AI.
Use an engaging tone and include trust-building elements.
Add a strong call-to-action at the end to increase conversions.


📌 What’s better now?

✔ A clear goal → AI knows the purpose is sales
✔ Parameters → tone, content focus, CTA
✔ Predictable result → usable, on-brand content you can publish


💡 Bottom line:

Old prompt → Random, unfocused output
TAG-powered prompt → Structured, result-driven content for real-world use


🚀 Want to get the most out of AI and write better prompts that drive results?
That’s part of my AI setup and business automation service — I help build smart systems that actually work.