8d (edited) • 😎 Share Your Builds
🚀 Case Study: Using AI to Generate Personalized Messages Before Sending Them to GoHighLevel
One challenge I've noticed with automation is that many workflows are fast—but not personal.
Businesses often send the same message to every lead.
The automation works...
But the conversation doesn't feel human.
So I built a workflow to change that.
Here's how it works:
1️⃣ A webhook receives the request.
2️⃣ The workflow securely loads the required API credentials.
3️⃣ It retrieves the campaign details and messaging context.
4️⃣ An LLM generates a personalized message based on that context.
5️⃣ The output is structured and validated before it's used.
6️⃣ The final message is automatically sent to GoHighLevel for the next step in the workflow.
The goal wasn't just to automate messaging.
It was to make automated messages feel more relevant and consistent.
One lesson I learned:
Connecting the tools was actually the easy part.
The real challenge was designing prompts and structured outputs that consistently produce useful messages.
That's where most of the iteration happened.
My takeaway:
AI becomes much more valuable when it fits into a clear business process—not when it simply generates text.
A good workflow combines:
✅ Business logic
✅ Reliable AI outputs
✅ Automation
Together, they create a much better customer experience.
💬 Question for the Community
If you were building an AI messaging workflow...
Would you let AI write every message, or would you combine AI with predefined business rules?
I'd love to hear how others are approaching this. 🚀
#AIAutomation #GoHighLevel #LLM #OpenRouter #WorkflowAutomation #AIAgents #BusinessAutomation
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🚀 Case Study: Using AI to Generate Personalized Messages Before Sending Them to GoHighLevel
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