AI Agent Assist Hackathon: Build Real-World Solutions with LLMs
Overview
We’re bringing together talented developers to build AI-powered agent tools that support real-world industries like construction, logistics, and field services.
This is more than a hackathon — it’s a talent-scouting event for future projects with James Bates (Co-founder of Datapath and yüda). We’re looking for highly skilled developers who can work fast, think modularly, and solve meaningful problems using cutting-edge AI tools.
The Challenge
You’ll create a modular prototype that allows a user to:
Upload a PDF document through a web-based interface.
Use Python + LLMs (like GPT-4o) to analyze the document.
Evaluate whether the content meets specific criteria.
Return clear feedback on what meets vs. doesn’t meet requirements.
Your solution should be efficient, testable, and able to handle varied documents and criteria inputs. You’ll be given a sample SOW in advance to practice.
What You’ll Get
$10 OpenAI API credit
A shot at up to $1,000 in prizes
Food + refreshments
Gain visibility for future opportunities with Datapath or new ventures being developed.
How Selection Works
Apply by completing the registration form, including:
A few short questions about your background and skills.
Your GitHub or portfolio link (if available).
We’ll confirm your spot within 24 hours if your experience aligns with the event goals.