Key Lessons From Developing an Effective AI Agent
Discover three critical lessons from building an AI agent, including listening to data, prioritizing efficiency, and meeting customers where they are.

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Businesses are increasingly adopting AI agents to enhance customer interactions. Jotform, a company with nearly two decades of experience, recently launched its first AI agent and shared key insights from the process.
Listen To Data, Not Hype
Jotform initially developed AI-powered forms during a hack week. While the beta version was successful, data revealed that 90% of users employed it for customer service, not form creation. This unexpected pivot underscored the importance of adapting to real-world usage over initial assumptions.
Efficiency Over Friendliness
Contrary to the trend of human-like AI companions, users prioritize efficiency. Research from Salesforce shows that overly personable AI can lead to unmet expectations. Jotform found users preferred agents for their speed, 24/7 availability, and lack of judgment, reinforcing the value of functionality over personality.
Reach Your Customers Where They Are
Jotform integrated AI agents across multiple platforms, including websites, phone lines, and messaging apps like WhatsApp. This omnichannel approach, combined with multilingual support, ensured accessibility and a cohesive user experience.
AI agents are transforming customer interactions. By focusing on data-driven adjustments, efficiency, and accessibility, businesses can create impactful AI solutions. Flexibility and adaptability remain crucial for success in this evolving landscape.
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About the Author

David Chen
AI Startup Analyst
Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.