Build a Governed Student Intervention Agent Team with Python
Group: Use Case
Product Category: AI Engineering
Sub Category: AI Engineer
Solution Available
Source code, datasets, and other related files for the solution will be provided.
About this Product
Build a Governed Student Intervention Agent Team with Python is an advanced, GenAI use case lab that builds Beacon, a multi-agent weekly triage system for a fictional ed-tech company, Lumenfield Academy. Beacon decides whether each learner needs nothing, a nudge message, or a tutor session, with governed tools, human approval, measured quality, and full tracing. It runs offline on a mock LLM with SQLite, so no API key or server is needed.
With this product, you’ll build an agent system that can:
- Validate synthetic learner data, quarantining invalid rows with reasons
- Route learners through four agents (Supervisor, Analyst, Planner, Reviewer) with checkpoints, budgets, and a revision loop
- Score learner risk and map it to an intervention
- Pass every tool call through a five-check, fail-closed governance pipeline
- Hold risky actions in a CLI approval queue with 72-hour expiry and idempotent execution
- Contain prompt injection and escalate ungrounded drafts to a human
- Trace every run with spans, PII-safe logs, metrics, and audit events
- Evaluate quality with a 20-case golden set and five pass/fail gates
Building this product gives you hands-on experience in:
- Multi-agent orchestration: routing, checkpoints, retries, and budgets
- Tool governance: registries, allowlists, validated arguments, and quotas
- Human-in-the-loop design: approval, expiry, and resume
- Evaluation and observability: golden-set gates, spans, and metrics
It uses Python, pydantic, python-dotenv, pytest, and SQLite, and runs on Windows, macOS, or Linux with no Docker or paid API.
Why this product matters: companies are moving agents from demos into production, and the hard part is making them safe. This lab teaches the guard rails that AI engineering roles increasingly test for.
Resources
The complete Build a Governed Student Intervention Agent Team with Python Business Requirements Document (BRD) is available as a Read-Only attachment. It provides the complete project specification for Beacon, including the business context, objectives, scope, requirements, use cases, and design expectations. Review the BRD carefully before starting the implementation.
Asset Contents:
- Project overview and business objectives
- In-scope and out-of-scope definitions
- Functional and non-functional requirements
- Key use cases and workflows
- Actors and agent roles
- Sample data, edge cases, and expected output
- Implementation plan, 8 acceptance criteria, and evaluation gates
Topics
Skills
Languages
English
Level
Advanced
Business Domain
Education & EdTech
Project Mentors
Labs • Projects • Practice
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