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Lecturer review required

Tom Cruise / Agentic Student Support Workflow

5 of 16 tests passed / Evidence completeness 90%

Provisional result
AI-generated evaluation is advisory. The lecturer reviews the evidence and makes the final academic decision.
31%
Provisional overall mark

Borderline evidence profile

5 tests passed 11 tests failed

Rubric breakdown

Functional correctness
35% weighting / 13.3 marks
38%
Agentic workflow and orchestration
20% weighting / 6.4 marks
32%
Safety and human oversight
15% weighting / 3.0 marks
20%
Testing and reliability
15% weighting / 3.3 marks
22%
Code quality
10% weighting / 3.6 marks
36%
Documentation
5% weighting / 1.3 marks
25%

Evidence and observations

Strengths
  • The project compiles and exposes the expected entry point.
  • A structured object is returned for the sample message.
Areas for improvement
  • Responses are hard-coded and do not reflect the message.
  • High-risk messages are not escalated.
  • The extension response states that the request has been approved.
  • No automated student tests were included.
Code-level observations
  • src/index.ts returns the same category and response for every input.
  • requiresHumanReview is always false.
  • tests/ contains no student-authored scenarios.
Safety evidence
  • The extension draft claims approval, contrary to the brief.
  • High-risk input does not set requiresHumanReview.

Personalised feedback

Editable draft

Recommended learning actions

  1. Replace the fixed response with separate classification and risk steps.
  2. Ensure High risk always sets requiresHumanReview, and remove approval claims.
  3. Add tests for empty input, high-risk wellbeing, and extension wording.