Global Hack Week: Agents, Challenge 2

#mlh #ai #blackboard #agents

Challenge 2: Dashboard Walkthrough + Nash Demo

What I Learned

I learned how to navigate the Backboard dashboard and use its built-in features without writing any code.

I discovered that the dashboard tracks activity with charts, saves conversations as threads, and supports memory so the assistant can recall facts across different chats.

I also learned about Nash, a chat app built on the same platform, which allows me to switch between models seamlessly and even generate images.

What I Did

I logged into my Backboard account and explored the dashboard.
I checked the analytics view to see charts for prompts and tokens.
I started a new chat, enabled memory, and told the assistant facts about myself (my name and favorite pizza topping).
I opened a new thread and confirmed that the assistant remembered my details.
I explored the model library and tried chatting with different models.
I visited the memory page to see the facts saved and even deleted one to test the controls.
I confirmed my promo credits under Settings.
I tried Nash by signing in, starting a conversation, switching models mid-chat, and generating an image.
I compared responses from different models to see how they varied.

Reflection

I realized how powerful memory is for building agents that can recall context across conversations.

I also saw how Nash simplifies working with multiple models in one place, which saves time and keeps my data organized.

This challenge helped me understand the foundation of agent-based workflows and gave me hands-on experience with multi-modal AI.