The recording of our latest meetup workshop is now available! 🎥
In this session, we explored what it means to be an AI leader—not just a coder. I emphasized how leadership in AI requires understanding both designing AI-powered applications and how AI itself can help build those applications.
We then dove into a hands-on coding exercise, building a chat application with a large language model (LLM) step by step:
Stage 1: Connecting to an LLM through an API and making a simple request.
Stage 2: Introducing roles and system prompts to shape the assistant’s behavior.
Stage 3: Allowing dynamic user input instead of hard-coded questions.
Stage 4: Managing chat history and context, while discussing LLM limitations like memory.
Stage 5: Wrapping it all in a simple web interface for a better user experience.
Along the way, we also discussed:
Why coding is not going away, despite what you may hear.
Why even non-coders should grasp LLM basics to design effectively.
The value of rapid prototyping and testing multiple ideas quickly.
Practical considerations like API keys, costs, and open-source alternatives.
This workshop is part of our ongoing series on building the mindset and skillset of an AI leader—whether you’re in a startup, nonprofit, or enterprise setting.
