A live run shipped one hero under three slugs: parallel subagents all
wrote the generation tool's output as a generic hero.png in the shared
project assets folder, then copied and referenced each other's files.
Spawn tasks now require slug-based output filenames, using only the
tool-reported path, a verify-your-own-files check before reporting, and
the parent hashes all heroes before cropping and re-spawns duplicates.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Live cues rendered the good colors as slivers: the hero prompt asked for
an atmospheric scene with a 60% neutral ground and a small accent. The
skeleton now frames tight on the subject and stages each color as a
large unbroken field (neutral about half, primary a continuous third,
tertiary small but legible), with the rationale in the fill rules.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Investigation of a live run showed five of six palettes converging on the
brief's deep-teal anchor: territories were scenic but hue-silent, and the
anchor reached every spawn unscoped. Territories now must close on a hue
ground (no two in one family), the anchor is owned by exactly one
territory with everyone else told to leave it, spawn tasks may not be
compressed, and each subagent critiques its palette and concept against
the rules before generating.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Name the common spawn tools, require all six spawns in a single message,
and call out spawn-await-spawn as the serial-loop failure it is. The
no-subagent fallback now runs all six personas instead of four, so the
user gets six cues on every path.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Drop the sequential palette chain: the parent carves six visual,
emotional, or strategic territories from the brief, then all six
personas spawn in one parallel batch, each composing inside its own
territory and generating both images in the same task.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Personas now compose sequentially, each shown the color territories the
earlier personas claimed, replacing the similarity script and peer
critique as the uniqueness mechanism. Generation moves to a parallel wave
of dedicated image-prompt specialists that stage the finished palettes.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Drop the six-way critique wave from the visual-cues studio: after the
compose wave, the OKLab similarity script loops with revision waves for
flagged personas only (capped at three) until every verdict is clear,
then the generation wave stages the settled palettes.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Drop the parallel "round" vocabulary from the visual-cues studio so one
counting system covers the three spawn waves; the subagent template calls
the palette a first draft instead.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Replace the single-mind palette composition in the visual-cues pipeline
with a three-wave studio: six persona specialists compose in parallel, a
new OKLab similarity command plus peer critiques build each persona's
scorecard, then each revises and generates its hero and artifact sheet.
AI-assisted (Cursor agent), directed by abdulwahabone.
Co-authored-by: Cursor <cursoragent@cursor.com>
Document seed mode's palette pick used to ask the user to imagine colors
from words. Add a visual-cues pipeline: compose four-hex palettes from the
brief (mood, references, PRODUCT.md), generate a hero scene plus a cream
artifact sheet per concept, crop the sheet into isolated artifacts, and
write cues.json so the user can pick a direction by eye.
Co-authored-by: Cursor <cursoragent@cursor.com>
Abdul WahabandCursor