Build An AI Agent: No Code Required
What if you could automate the most repetitive part of your workday — and build the tool yourself?
An Intermediate Workshop.
Please contact the organizers for a discount code, a scholarship, or if the event is full.
Using a real job search workflow as a practical use case, in this hands-on 2 hour workshop, you'll learn to build AI agents from scratch and you can apply to any repetitive task.
Who this is for: You like a structured approach to learning new technologies. You like intimate interactive sessions and learning from others. You need AI to help relieve administrative burden. You are comfortable using digital tools, have a basic understanding of AI and are ready to go deeper. No technical background required, but if you're brand new to AI tools, you may want to explore my beginner session.
Based on my own experience and mistakes, I will help you build a a personalized job agent that scans LinkedIn, drafts cover letters, finds connections, and tracks everything automatically. You'll learn safety best practices. The skills transfer to any repetitive task you want to hand off. You'll see my prompts and the refinements that turned a rough idea into a reliable daily workflow.
What we'll build together:
By the end of the session, you'll have a working job agent tailored to your own search criteria, workflow, and goals that you can start using the same day.
A curriculum and what you'll need to bring will be sent upon registration.
This is not a course about AI theory. We won't compare language models, debate prompting philosophies, or write a single line of code. This is a practical, build-as-you-go session where you'll leave with something you can start using immediately!
Come ready to build. You'll leave with something that works.
Swatee Surve is a technologist and entrepreneur. Her contributions to AI began in 2010 where at Microsoft Research, she managed a portfolio of Research 1 university collaborations valued at $20MM that showcased early AI applications in healthcare. As a CTA and CHAI member, she has contributed to best practices to develop AI safely and effectively.