Developer rebuilds AI image bank twice after thumbnail and prompt design failures

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A developer building RealFeedApp generated a custom AI image bank for article cards, only to discard and redo it twice after discovering critical flaws. The first failure stemmed from approving dark, high-negative-space images at large preview sizes, which rendered as near-invisible black rectangles at the sub-400-pixel tile size actually shown to users. The second failure arose from a prompt that combined the words 'editorial,' 'news features,' and a mandatory accent colour, which led the AI model to efficiently satisfy all three constraints by generating fake news chyrons with garbled text like 'TROOLDOGS NEWS.' Removing those three prompt requirements eliminated the artefact entirely, revealing how AI image models resolve combined constraints literally rather than inferring intent. The developer concluded that switching visual styles also requires rethinking subject matter from scratch, since abstract AI-native concepts like 'glowing token streams' cannot be reframed as documentary photography without replacing the underlying ideas.

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