What I Learned Building 100 AI Assistants
After helping create 100+ AI assistants, here are the patterns that separate success from failure.
What I Learned Building 100 AI Assistants
After helping create over 100 AI assistants, patterns emerged. Here's what separates winners from abandoned projects.
Lesson 1: Narrow Beats Broad
Assistants that try to do everything perform worse than specialists. Users trust focused expertise.
**Example**:
- ❌ "General Business Advisor"
- ✅ "SaaS Pricing Strategy Expert"
Lesson 2: Your Best Content Already Exists
The best knowledge bases come from existing content—past emails, support tickets, course materials, meeting recordings.
Lesson 3: Personality Matters More Than You Think
Assistants with distinct personalities get 3x more engagement. People connect with characters, not generic bots.
Lesson 4: First Message Is Everything
70% of users decide to engage based on the welcome message alone. Make it count.
Lesson 5: Users Ask the Same 10 Questions
80% of conversations cover 20% of topics. Perfect your top 10 answers first.
Lesson 6: Escalation Is Not Failure
The best assistants know when to hand off. Users respect honesty more than bad answers.
Lesson 7: Short Responses Win
Concise answers get better ratings than comprehensive ones. Answer first, add detail if needed.
Lesson 8: Test With Real Questions
Creators who test with actual user questions build better assistants.
Lesson 9: Updates Keep Assistants Alive
Assistants updated monthly earn 5x more than abandoned ones.
Lesson 10: Success Comes From Distribution
Building is 20% of the work. Distribution is 80%.
Stop building in isolation. Learn from what works.
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