Common Mistakes

You don’t need years to build useful AI agents. But you do need consistency, practice, and feedback.

⚠️ Common Beginner Mistakes & How to Fix Them

Mistake	Why It Happens	Fix
"My agent is too expensive"	Using GPT-4 for everything	Start with GPT-3.5 / Claude Haiku; optimize prompts
"My agent is unreliable"	No error handling	Add try/catch blocks, fallback logic
"My agent is too slow"	Too many API calls	Cache results, batch calls
"My agent gives wrong answers"	Poor prompt design	Practice prompt engineering, test variants
"I can’t debug my agent"	No logging	Add logs from day 1 (inputs, outputs, errors)

💡 Pro Tip: Keep your agents small, focused, and testable. Add complexity only when it's working.