ProvenanceAI tracks the full arc of AI-assisted work, from sources and prompts to drafts and revisions, so instructors can assess growth and students can show how they used AI well.
Not a plagiarism tool. A growth engine.
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ProvenanceAI Learning Management System v2.0
The Framework
ProvenanceAI doesn't measure what students produce. It measures the distance they travel.
The ProvenanceAI Path automatically captures the full arc of AI-assisted work:
source → prompt → draft → revision → MVP.
Instead of detecting whether students used AI, we show how they used it well—making growth visible, coachable, and fair.
Gather sources and context. Make your starting point explicit.
Use AI as a thinking partner—guided by goals, constraints, and success criteria.
Stamp a First Draft so improvement is measurable, not assumed.
Refine the prompt. Challenge the output. Expand scope. Improve quality.
Deliver the Maximum Value Prototype: polished, applied, and fully traceable.
Take a short survey to benchmark your institution's AI strategy posture, implementation readiness, budget expectations, and assessment priorities.
Start Diagnostic SurveyAI can generate output. ProvenanceAI measures development.
Knowledge is everywhere now. What matters is growth:
uniquely human contributions, transferrable AI skills, and enduring habits of character.
How far did you push beyond the machine?
How effectively did you steer the AI?
Is your technology relationship sustainable?
Submitted Oct 24, 2:30 PM
Students see exactly what counts: reflection, revision, and measurable improvement.
ProvenanceAI makes the learning process visible—so growth earns credit, not just output.
“In a future of generative content, it's not about proving you didn't use AI. It's about showing how you used it well.”
Instructors see the full arc of AI-assisted work: where students challenged the AI,
added original insight, and moved beyond the model's first response.
ProvenanceAI measures the distance students travel—not just what they produce.
In conclusion, Kant argues... However, applying Kant's framework to modern AI alignment reveals a contradiction in...
The weekly newsletter for Applied AI x Humanities. Curated by Chuck Hampton, a custom AI agent designed to find higher ed signal amidst so much noise. We track signal, ignore noise, and build the "humanity receipts" for the future of higher education.
ProvenanceAI is built on the principles of Design Thinking and Edward de Bono's concept of EBNA (Excellent, But Not Enough).
We believe the MVP isn't just a product stage—it's a philosophy: Maximum Value Possibility. In an age where both general and specialized knowledge is becoming a commodity, learning value comes from the human journey, not the destination.
Higher education faces a value crisis. As knowledge becomes a commodity, the old output metrics are collapsing. We're shifting the measurement from final output to human growth.