Overview
What this challenge is about.
Build a Tool-Calling Agent for an Internal Reporting Bot. Advanced challenge in code. Writing production code that solves real engineering problems, earn a b...
The Brief
What you'll do, and what you'll demonstrate.
Build an internal reporting agent that chains 4 tools correctly and survives a 60-question evaluation harness.
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
- Implement tool-calling and multi-step reasoning in an agent framework
- Design tool schemas that an LLM can call reliably
- Build an evaluation harness that catches tool-call hallucinations
- Communicate agent architecture and trade-offs in writing
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.
- Agent Orchestration
Apply agent orchestration to solve real industry problems and demonstrate production-level capability.
- Tool Calling
Apply tool calling to solve real industry problems and demonstrate production-level capability.
- Langchain Or Llamaindex
Apply langchain or llamaindex to solve real industry problems and demonstrate production-level capability.
- Structured Outputs
Apply structured outputs to solve real industry problems and demonstrate production-level capability.
- Agent Evaluation
Apply agent evaluation to solve real industry problems and demonstrate production-level capability.
- Rag
Apply rag 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-calling agent with a real evaluation harness is the day-to-day of AI engineers at any AI-product company.
This challenge sharpens
- agent-orchestration
- tool-calling
- structured-outputs
AI Solutions Architect
Defending framework choice and tool design in writing is the AI solutions architect's daily output in enterprise engagements.
This challenge sharpens
- agent-orchestration
- langchain-or-llamaindex
- agent-evaluation
AI Product Manager
Owning the eval harness and per-question-type breakdown lets a PM gate ship decisions on real evidence.
This challenge sharpens
- agent-evaluation
- tool-calling
- structured-outputs