Most student agent projects fail for one reason: they start with model choice, not workflow design.
Week-by-week execution
Week 1: Define one workflow
Pick one narrow problem with a clear user:
- placement prep Q&A,
- event operations assistant,
- research paper summarizer for one lab domain.
Write success criteria before writing code.
Week 2: Build the toolchain
Connect the agent to exactly what it needs:
- one retrieval source,
- one memory strategy,
- one action layer (email, calendar, docs, sheet update).
Week 3: Add safeguards
Introduce guardrails early:
- response templates for high-risk outputs,
- confidence thresholds,
- escalation to a human reviewer.
Week 4: Pilot and measure
Run with 20 real users. Track:
- completion rate,
- response quality rating,
- escalation frequency.
Agent teams that track these three numbers improve much faster than teams that only benchmark prompts.
