Inspiration
It works to connect users to agents and agents to agents inspired by a need to understand underlying dynamics of leader communication to peers, or investors deciding their investments
What it does
it tells what to look for in a intelligence
How we built it
llm to extract entitiy and build a graph of words on speech
Challenges we ran into
how to find similar related speeches so both apps are able to ping and be grounded
Accomplishments that we're proud of
we have made the data ready, now two apps should start collobarating, this is second phase
What we learned
colloboration can be agent driven
What's next for vlkg
collaboration implementation ready to present in next grounded hackathon
Built With
- gcp
- llm
- mcp
- python
Log in or sign up for Devpost to join the conversation.