Add atlas refine cue seed workflow

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# Atlas Refine Baseline Deck Analysis
Date: 2026-07-01
Folder:
`/media/unraid/comfyui/output/CodexMCP-Atlas-Refine`
Subject id:
`atlas_refine_same_woman_001`
## Folder State
The folder contains 16 complete `.png` / `.txt` atlas prompt pairs.
Coverage report:
- 10 clean `baseline_only` entries
- 6 `needs_prompt_cleanup` entries
- 0 sidecar prompt variants
- 0 seedable catalog cue candidates
- 0 missing image/text pairs
The deck is useful as a controlled same-woman baseline set, not yet as a
seed/cue system. Reviewed sidecar variants still need to be authored from
actual prompt/image evidence.
## Prompt Cleanup Queue
These baseline prompts still contain positive-channel negative wording through
`without` and should be rewritten before visual scoring or seed promotion:
- `pov_cowgirl_alt_low_squat_penetration`
- `pov_cowgirl_frontal_straddle_penetration`
- `pov_ejaculation_aftermath_open_thigh_candidate`
- `pov_handjob_upright_centered`
- `pov_reverse_cowgirl_alt_upright_back_facing_penetration`
- `pov_reverse_cowgirl_back_facing_penetration`
## Visual Deck Read
The deck is strong for same-subject comparison:
- the woman identity is stable across poses;
- the coworking lounge style is consistent;
- desk rows, laptops, chair wheels, plants, glass partitions, and warm window
depth are repeated enough to support workspace-continuity scoring;
- most poses place the action as the primary foreground subject.
Current limitations:
- all entries are single baseline images, so they do not test seedable
alternatives yet;
- several prompts still use cleanup-needed wording;
- clothing/control is not represented across most poses;
- workspace interaction is mostly background context, not varied physical use
of the lounge furniture;
- exact top-view oral remains weak under text-only prompting even after the
second MCP batch.
## Next Evidence Priorities
1. Clean the six `without` prompts before using them for cue seeds.
2. Build prompt-variant sidecars only from tested cues, not invented wording.
3. For each pose family, collect same-subject fixed-seed variants before
touching generator defaults.
4. Score scene/pose height from background cues: floor plane, desk height,
chair wheels, table bases, and whether the viewer/partner appears standing,
seated, kneeling, reclined, or supported by furniture.
5. Keep clothing restore as woman-owned visible detail, and only for garments
that the pose crop can actually show.