Pipeline Hub

format-ui-mockup

Native-UI static ad for DawnBands, a short text-message thread (co-parent blames her, teen texts from bed, sister vent) rendered deterministically and set inside a Dawn brand frame with the band, root cause, mechanism and pill. The thread is a scene of the blame on her, never a review.

Lane: statics · not built yet: 1 (see below) · source: /Users/ayden/.openclaw/workspace/skills/format-ui-mockup

SKILL.mdbeat-sheet.mdrender-spec.mdsources.mdEvals (6)Learnings (12)

UI mockup — sources

Reference: davidaistar HEa4AVv-ths, "How I Create AI Image Ads For E-com" (analysed in ~/research/davidaistar/analysis/)

What his UI templates do, in order (paraphrased): 1. Research: ~10 minutes in Reddit forums, Facebook groups and competitor reviews for the customer's own phrasing. 2. Inputs: product photo with the background removed, brand name, one-line product description, a funnel-stage template (Starpop.ai on Nano Banana Pro). 3. Gen 1 improvises: leave the extra-details field blank, render 4 variations, let the model pick layout and copy. 4. Gen 2 edits: take the best composition and run a narrow edit that swaps in the exact text and fixes the product scale. 5. BOF set: testimonial card; iMessage thread (contact name, a few bubbles, the product photo sent inline, the whole ad is the conversation); tweet (a testimonial plus a product shot); offer. He files all three UI ones under testimonial / social proof for buyers who already know the product. 6. Claims (his, unverified): UI mockups "lower ad defense"; the Gemini pass attributes "lower CTR from text density, higher BOF conversion" to the UI ads, while the transcript guide attaches that same CTR tradeoff to "three reasons why". Treat both as claims.

Keep: the vessel (a conversation she reads as content), real customer phrasing, and his separation of composition from exact text. We take that one step further: no model touches the text at all. Change: - Content. His thread is a testimonial with the product sent in the chat, and testimonial statics are Dawn's 5 weakest pairings (MAP.md §2B). Ours is the blame scene with no product or result in it. - Funnel. His UI templates are BOF (product-aware). Dawn's gate is problem-aware, so the product zone outside the thread does the teaching (root cause + mechanism). - Rendering. His is AI composited; ours is deterministic HTML, because image models garble UI text and his own test showed forced exact text degrades the render. - His tweet: not built (feed-inside-a-feed, Fish 9-25 logic; Fish's go needed).

davidaistar statics diff (analysis/diff_statics.md)

Our receipts (fake-UI on Dawn)

Doctrine this format had to reconcile

starpop.ai articles (written versions, read 10-06 from ~/research/davidaistar/starpop/txt/)