The Guild

Inspiration

We were inspired by our friend's brother, a small business owner who spoke about the challenges of communicating with their many clients through Whatsapp. We decided to work on this idea to help small business owners all around the world who communicate with their customers directly.

What it does

We built a platform that helps small business owners interact with their customers using AI agents. We are the first to build an AI agent first WhatsApp/messaging application, that's personalized based on the customers' previous interests and wants.

How we built it

We built our tools using MonsterAPI for their LLM inference interface (using the Zephyr LLM model), Reflex.dev for their frontend in Python, and Fetch AI for creating an environments for our AI agents. We used RAG, for customer specific knowledge search.

Challenges we ran into

We ran into many issues with API calls and connecting our frontend to our backends. We used a lot of new and exciting technologies implemented in new libraries, in which there wasn't too much documentation for us to work off of. This likely slowed down our development speed.

Accomplishments that we're proud of

We built a working AI agent framework for communication with real phone numbers!

What we learned

We learned a lot about the different tools used within the AI agent framework and interactions fro creating a full stack application.

What's next for Agentic AI Marketing Platform

The future of AI agents looks pretty bright! We used the newest tools for LLM inference and creation of agents, and we got a MVP working within about 24 hrs of focused work. We're really excited by the quick development speed enabled by these new frameworks!

Built With

• fetch.ai
• monsterapi
• python
• reflex