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Authentic Work Verification Service (Human-Powered Assignment Auditing)

A managed service where trained education specialists (retired teachers, grad students, subject-matter experts) conduct spot-check audits of student work flagged by teachers as suspicious. Auditors interview students about their process, reasoning, and source materials in real-time or asynchronously via recorded explanations, then issue a confidence report on authenticity. Schools subscribe to a monthly audit quota (e.g., 20 audits/month) rather than paying per-detection.

SERVICE

50 weeks • 70% confidence

Value Proposition

Eliminates false positives that plague AI detectors (which flag legitimate student work ~20% of the time). Provides defensible evidence for grade disputes and parent conversations. Teachers get human judgment calibrated to their specific rubrics, not a black-box algorithm. Scales without requiring teachers to become forensic investigators.

Target Audience

Middle and high school teachers in districts with 500+ students; initially K-12 private schools and tutoring centers with higher willingness to pay

Key Features

  • Asynchronous video-submission process where students explain their work (5-10 min recorded explanation)
  • Auditor training curriculum aligned to specific grade levels and subjects (algebra vs. essay writing vs. lab reports have different red flags)
  • Confidence scoring framework (High/Medium/Low authenticity) with specific evidence cited
  • And more, with full implementation detail...

Tech Stack

Google Classroom API and Canvas API for assignment integration Loom or Wistia for hosting student video explanations Airtable or Postgres for auditor queue and case management Stripe for billing
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Original Problem

Teachers cannot reliably detect and prevent AI-generated student work, undermining assignment validity

Teachers face an urgent crisis where students use AI tools like ChatGPT to complete homework and assignments, making it impossible to assess actual student learning or skill development. Current detection methods are unreliable, and teachers lack practical tools to verify work authenticity while maintaining fair grading practices. This threatens the entire homework and assessment system that educators depend on to track student progress.

Score: 52.6% • 1 demand signal

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