Creator Portfolio Annotation
Turn a normalized corpus into comparable post-level observations. Preserve the difference between surface annotation and deep video evidence.
Inputs
- normalized creator corpus and collection status;
- local covers, post copy, detail snapshots, and any validated reconstruction references;
- annotation revision and previous labels when updating.
Annotate every observed post
- topic and user problem;
- content form and intent;
- hook and promised payoff;
- probable audience and use context;
- value offered;
- proof mode;
- presenter, composition, aspect ratio, screen/UI role, text density, and result visibility;
- content-architecture observations supported by visible evidence;
- confidence, evidence references, conflicts, and unknowns.
Use multi-label, open-ended concepts. Create a new label when the corpus demands it; do not force a post into a fixed taxonomy. Record unclassified when the evidence is insufficient.
Evidence discipline
- Title, cover, copy, metrics, comments, transcript, frames, and reconstruction are distinct evidence scopes.
- A title can identify a candidate topic or promise but cannot establish the video's actual steps, argument, directing logic, visual sequence, or causal mechanism.
- A cover can support composition and promise observations but not unshown results.
- Reuse validated deep findings through references; do not copy them into unsupported surface rows.
Output
Produce portfolio-annotations.json keyed by stable post ID, with annotation revision, source revision, evidence scope, confidence, conflicts, unknowns, and per-field evidence references. Every observed corpus ID must have exactly one row, including explicitly unclassified rows.
The artifact is a pinned input to creator synthesis. It describes the full visible denominator; it does not replace
the canonical 21 comparison set or the representative deep-video set. Deterministic title/media heuristics may create
the first conservative pass, but must keep proof, visual sequence and body structure unknown until stronger evidence exists.
Return ANNOTATION_READY only when ID parity, evidence references, and unknown handling validate.
1---2name: creator-portfolio-annotation3description: Annotate every observed creator post at portfolio depth using titles, covers, post copy, public metadata, and available evidence. Use to build open-ended topic, format, promise, audience-value, proof, and visual-language fields without pretending surface evidence is a full video reconstruction.4---56# Creator Portfolio Annotation78Turn a normalized corpus into comparable post-level observations. Preserve the difference between surface annotation and deep video evidence.910## Inputs1112- normalized creator corpus and collection status;13- local covers, post copy, detail snapshots, and any validated reconstruction references;14- annotation revision and previous labels when updating.1516## Annotate every observed post1718- topic and user problem;19- content form and intent;20- hook and promised payoff;21- probable audience and use context;22- value offered;23- proof mode;24- presenter, composition, aspect ratio, screen/UI role, text density, and result visibility;25- content-architecture observations supported by visible evidence;26- confidence, evidence references, conflicts, and unknowns.2728Use multi-label, open-ended concepts. Create a new label when the corpus demands it; do not force a post into a fixed taxonomy. Record `unclassified` when the evidence is insufficient.2930## Evidence discipline3132- Title, cover, copy, metrics, comments, transcript, frames, and reconstruction are distinct evidence scopes.33- A title can identify a candidate topic or promise but cannot establish the video's actual steps, argument, directing logic, visual sequence, or causal mechanism.34- A cover can support composition and promise observations but not unshown results.35- Reuse validated deep findings through references; do not copy them into unsupported surface rows.3637## Output3839Produce `portfolio-annotations.json` keyed by stable post ID, with annotation revision, source revision, evidence scope, confidence, conflicts, unknowns, and per-field evidence references. Every observed corpus ID must have exactly one row, including explicitly unclassified rows.4041The artifact is a pinned input to creator synthesis. It describes the full visible denominator; it does not replace42the canonical 21 comparison set or the representative deep-video set. Deterministic title/media heuristics may create43the first conservative pass, but must keep proof, visual sequence and body structure unknown until stronger evidence exists.4445Return `ANNOTATION_READY` only when ID parity, evidence references, and unknown handling validate.
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