A source-bounded research assistant and visual reference library with provenance and consent fields.
CRAFT · Masterclass
Research, References, and Responsible Inputs
Use AI to see the evidence—not launder it into certainty.
Plan research, synthesize responsibly, preserve provenance, and handle rights, consent, bias, and uncertainty.
Research plan, source map, synthesis audit, rights notes, and evidence-limited outputs.
Provenance-Aware Reference Library
Class requirement: create or sign in to your Alternate Clouds account, deploy the Provenance-Aware Reference Library template, and submit its live URL before the class is marked complete.
Create your Alternate Clouds account ↗Use only work you own or are authorized to use.
Every submission needs a source-and-license manifest covering text, code, images, audio, video, fonts, datasets, models, weights, and AI reference inputs. Attribution alone is not permission. Questionable material stays private or is replaced before deployment or showcase.
Ask about rights clearance01Ask a researchable question+
Separate discovery, evaluation, and validation questions before choosing a method.
Turn one product assumption into a research plan with stop conditions.
02References with provenance+
Track origin, creator, date, license, context, and transformation for visual and textual material.
Build a reference library that can answer where every input came from.
03Synthesis without laundering+
Preserve disagreement, sample limits, missing voices, and quotes instead of flattening them into themes.
Audit an AI synthesis against the underlying notes and restore lost tension.
04Rights, consent, and representation+
Decide what may be uploaded, generated, imitated, retained, or published.
Write the input and output rights policy for the project.
The complete course adds the teaching deck, Alternate Clouds lab, source-bounded guide, review rubric, and instructor feedback.
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