Lately, I’ve been exploring the AI-powered insights generated by…

Lately, I’ve been exploring the AI-powered insights generated by LinkedIn, which leverages Generative AI to offer personalized insights. These tools help you stay informed, develop new skills, and grow professionally!

This is a great example of AI’s potential. However, a few additions could make it even more impactful:
✅ Inclusivity fine-tuning: Ensuring insights are broad-based and inclusive.
✅ Profile Affinity: Tailoring insights more specifically to each user’s unique interests and background.
✅ Learning Path Suggestions: Incorporating recommendations for new learning opportunities based on your profile and industry trends.

This ties back to the Agentic workflow I mentioned in my earlier post. You can design a workflow that directs posts to specialized agents based on content type. Here’s a simple example:
1️⃣ Category 1: Generate three broad-based follow-up questions on the content.
2️⃣ Category 2: Generate three inclusive follow-up questions.
3️⃣ Category 3: Generate three follow-up questions, integrating content and user preferences/tags.
🔍 Review: Select one question from each category, ensuring professionalism and ethics.

Link to the Agentic workflow blog - https://lnkd.in/dVv2uWuU

🎯 Test this process on any LinkedIn post—what kind of results do you see?

Generative AI has made workflows like this more accessible, but we must prioritize safety, trust, and ethics in implementation. 🌟