Overview
What this challenge is about.
ReAct Agent for Legal-Research Tool-Use. Advanced challenge in code. Writing production code that solves real engineering problems, earn a blockchain-verifie...
The Brief
What you'll do, and what you'll demonstrate.
Design a ReAct-style legal-research agent that calls 4 tools in correct sequence and produces a cited memo a paralegal would accept.
This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Design a ReAct prompt with clean tool-call schemas
- Build an agent loop that handles tool errors and dead-ends
- Evaluate agent quality on multiple axes (correctness, citation, readability)
- Document failure modes for product iteration
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- React Prompting
Apply react prompting to solve real industry problems and demonstrate production-level capability.
- Tool Use
Apply tool use to solve real industry problems and demonstrate production-level capability.
- Agent Design
Apply agent design to solve real industry problems and demonstrate production-level capability.
- Json Schema
Apply json schema to solve real industry problems and demonstrate production-level capability.
- Evaluation
Apply evaluation to solve real industry problems and demonstrate production-level capability.
- Citation Handling
Apply citation handling to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Engineer
Building a tool-using ReAct agent with a real eval suite is the day-one skillset for AI engineer roles at any vertical AI startup.
This challenge sharpens
- react-prompting
- tool-use
- agent-design
Prompt Engineer
Designing the ReAct system prompt and tool schemas under accuracy + readability targets is core prompt-engineer territory.
This challenge sharpens
- react-prompting
- json-schema
- evaluation
NLP Engineer
Citation handling and document-grounded generation are bread-and-butter NLP-engineer work at legal-tech companies.
This challenge sharpens
- citation-handling
- tool-use
- evaluation