GitHub
Connected source inspection and course commit tracking.
TRANSPARENT BY DESIGN
Two independent agents. Every recommendation should point to evidence and a test you can repeat.
Check a project →The agents do not execute your application, view screenshots, access your private dashboards, or complete a purchase. A dependency or HTML signal is not proof that a feature works. Inaccessible evidence means “unverified”, not an automatic zero.
Useful outcome and CTA: 25 points. Working implementation: 35. Tests and evidence: 25. Meaningful improvements: 15. The total is formative feedback out of 100; it is not converted into a university mark out of 10. If a criterion cannot be assessed, the total stays pending.
Use it to improve your work and document your response. Your individual evidence portfolio, including what existed before the course and what you personally changed and tested, supports instructor assessment. It does not set an official university mark or decide whether you pass. The four university component requirements still apply: 15% participation, 30% Digital Presence, 20% Digital Advertising and 35% Experimentation. Submit your individual portfolio to the university’s Connect platform; this checker does not upload or read that private submission. Commit volume and tool count do not prove quality.
Hierarchy and clarity: 35 points. Visual consistency: 30. Responsive presentation: 35. The design agent reads source-level styling and layout intent; it explicitly calls out the need for a visual check. Its score never enters the Utility score, university grade or passing decision. Use it to explore ideas, not to conform to one person’s taste.
Checked via public GitHub source, submitted course evidence and LEGIT Agentic when available. Each report names the sources actually used. We do not claim “100+ trusted sources”.
Connected source inspection and course commit tracking.
Connected technical website scan. Availability and results are shown per review.
Open checker ↗Optional external audit. Results are not imported automatically.
Open external audit ↗Optional external AI visibility audit. Results are not imported automatically.
Open external audit ↗External audit scores are different measurements; we do not average them into a course grade.
Run from the browser used to register your project, or connect an instructor session. Wait at least two minutes between runs. Push changes before running again; a saved report describes the source inspected at that time. If one agent fails, the other report can still be shown. Your source and previous report are preserved if both fail.
Reports and quest evidence are shared with the class. Include public project material only. Discuss incorrect findings with the instructor and show the relevant code or test evidence.