“Learning by Doing – Optimizely OPAL Series” | Episode 02 is Live!

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Introduction


With Optimizely OPAL, we’re not just generating content—we’re designing intelligent workflows.
But after working with teams and experimenting hands-on, I noticed a recurring pattern:
  • Many are using OPAL
  • But not getting consistent results
  • And often struggling to move beyond basic prompts
The reason is simple:
  • OPAL is only as powerful as the prompts you give it.

That’s exactly what Episode 02 focuses on.

Episode 02: Prompt to Better Prompt

The second episode is now live—and this is where things start getting practical.
  •  Because this is not about using AI…
  •  This is about using AI effectively
 In this episode, we cover
  •  What is Prompt Engineering and why it matters
  •  Why most AI outputs fail (and how to fix them)

Popular frameworks:

  • RACE (Speed & simplicity)
  • CRISPE (Creativity & refinement)
  • COSTAR (Marketing & audience alignment)
  • CLEAR (Most practical for OPAL)
  • KERNEL (Automation & consistency)

The Shift: Prompt → Better Prompt

One of the most important ideas in this episode is a simple but powerful shift:
  •  Don’t struggle writing prompts manually
  • Instead:
    • Use tools like Copilot / ChatGPT
    • Ask them to generate structured prompts (using frameworks)
    • Refine with your business context
    • Use them inside OPAL
 Key Insight
Use AI to improve your prompts → Then use OPAL to execute them
 

Real Use Case Covered

We also walk through a real-world enterprise scenario:
Building an SEO Blog Generator Agent
  • Where the agent can generate:
  • SEO-optimized titles
  • Meta descriptions
  • Structured headings (H2, H3)
  • Engaging introductions
  • Full content body
  • Internal & external link suggestions
  • Call-to-action
  • Related keywords

 Why this matters

This is not a simple prompt.
  • It requires:
    • Structure
    • Context
    • Constraints
    • Output definition
 And that’s where prompt frameworks become critical.

 What Makes This Episode Different?

Instead of just explaining frameworks…
This episode focuses on:
  •  When to use each framework
  •  How to think structurally
  •  How to apply it in OPAL
  •  How to scale prompts into reusable agents
 Who Should Watch This Episode?
  • If you fall into any of these categories, this episode is for you:
  • Optimizely developers & architects
  • Digital marketers working with AI
  • DXP practitioners exploring OPAL
  • Anyone struggling with inconsistent AI outputs
Watch the video here:




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