Agent.ai hackathon review

🤔 Ever wondered what building AI agents is really like? I jumped into a hackathon on agent.ai to find out! Here's my candid experience...

🎯 My Mission:
Create an AI assistant to be my personal LinkedIn content curator - scanning posts, filtering relevance, and serving up the good stuff daily.

🛠️ The Tool:
Used their no-code "Agent Builder" - think Canva, but for creating AI agents! Drag, drop, and voilà!

✨ The Good:
• Sleek, minimalist interface
• Super intuitive drag-and-drop design
• Zero coding needed to get started

🤔 The Challenges:
Ever tried explaining to a friend exactly which part of a sandwich you want them to bite? That's how I felt trying to tell the AI exactly what data to grab! The platform's simplicity became its limitation.

• Retrieved my search results as a json list, but I'm not sure how to access the specific elements in that json list.
• While they have visual 'for loops', nothing beats writing your own for loops and accessing relevant indices/elements.
• This lack of granularity cascaded down as it was hard to access specific elements, unlike writing code.

🎓 Key Takeaways:

1. Building "no-code" platforms for AI is like creating a universal remote - incredibly complex behind the scenes
2. One size rarely fits all in tech solutions
3. While drag-and-drop AI builders are exciting, they're like using safety scissors - great for basics, but you might need the real thing for detailed work

💭 Final Thought:
It's really hard to build a drag and drop platform for AI agents because it's hard to account for all the small differences in workflow. For now, the magic happens in the details - and sometimes you need more than drag-and-drop to get there.

What's your take on no-code AI tools? Have you tried building your own AI agent?