High Agency: The Podcast for AI Builders $100M raised: How Decagon is building better AI agents I Jesse Zhang
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Jan 22, 2025 Jesse Zhang, CEO of Decagon AI, is pioneering AI agents for customer support, reshaping how businesses engage with clients. He shares his early passion for large language models and the playful experiments that sparked his company’s innovations. The conversation dives into the challenges of scaling AI technology, emphasizing the need for customer feedback and data sensitivity. Jesse also forecasts the future of AI, addressing both its potential hype and the transformative implications for enterprise support systems.
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Early Experimentation with LLMs
- Jesse Zhang, after his first company got acquired, explored LLMs by building side projects and demos.
- This hands-on approach helped him learn quickly and eventually led to founding Decagon AI.
Customer-Driven Development
- Avoid overthinking and over-intellectualizing business ideas.
- Talk to customers directly, aggressively assess their needs, and gauge their true willingness to pay.
Decagon's Growth and Differentiation
- Decagon's rapid growth comes from focusing on customer needs and building product around AI agents.
- They prioritize transparency and control, addressing enterprise concerns about AI's black box nature.