About the Service
You've built a chatbot. Now find out if it works for other people and start building your user base.
In this program, you'll put your chatbot in front of real users and learn from what happens. You'll recruit testers, gather feedback, and iterate on your tool based on what you discover. This is where your chatbot grows from a personal project into something that works for others. It's also where you start building an audience for what you've created.
You won't do this alone. Participants test each other's chatbots and share what they learn, so you get feedback from people who understand the chef approach. Monthly Q&A sessions give you space to dig deeper into questions that come up. A dedicated chatbot—the Greenhouse—helps you craft messaging and attract testers.
By the end, you'll have:
Real feedback from users outside your own head
A refined chatbot based on what you learned
Experience giving and receiving feedback on AI tools
The beginnings of a user base for your tool
A clearer sense of what works and what needs more iteration
The program runs for 12 weeks. Requires completing The AI Cooking Class and Become an AI Chef first.
Want some extra support? You can add a 1-hour consult with me for $100, or work with me on an ongoing basis as an advisor or collaborator.
Ready to go deeper? In Advanced Chefing, you'll master advanced techniques in a small group with individual attention.
The current cohort runs November 25–February 28. You can join now or wait until a new cohort opens after.
Your Instructor
Ravit Dotan, PhD

Ravit Dotan, PhD, is an AI advisor. She helps people and organizations use AI thoughtfully and ethically to do meaningful work, rejecting both hype and fear-mongering.
Ravit's work encompasses AI adoption training, AI ethics advising, building no-code AI tools, and academic research on how to make AI ethics stick. She has worked with dozens of tech companies, investors, nonprofits, local governments, and other organizations on AI responsibility, from development to procurement to adoption, and she also offers training for individuals.
Ravit's recognition includes a PhD in philosophy from UC Berkeley, being named one of the "100 Brilliant Women in AI Ethics" by Women in AI Ethics, and being a finalist for the "Responsible AI Leader of the Year" award by Women in AI.


