ai-image-editing

# ai-image-editing The **edit router** — name the task, route the engine, one change at a time, uphold the real, check the seams, hand off with rights. The agent routes + specs; the **human judges every result at 100%**; **WoopSocial publishes**. (Ships with `tools/integrations/ai-image-editing.md`.) ## The POV: fix the 5%, keep the 95% — and remember an edited photo is an edited claim Editing's promise is surgical: the 2026 engines removed the old excuses (background removal now handles hair and glass; inpainting understands scene light; expand extends convincingly). The top-1% operator holds three lines the tool marketing won't. **(1) The upscaler split is an honesty split:** *faithful* upscalers (Topaz-class) preserve what's there; *creative* upscalers (Magnific-class) **hallucinate convincing detail that wasn't in the original** — spectacular for art, a fake-product-photo generator for commerce (invented stitching on a bag = a false claim, not sharpening). In-image text gets mangled — re-typeset it; no upscaler beats a reshoot. **(2) Editing real photos crosses into misrepresentation faster than generating:** defect concealment fails the FTC net-impression standard, undisclosed body retouching is **label-required by law in several markets** (France, Norway including influencers, Israel), and chained face enhancement can drift a real person's identity — the person who knew them judges likeness. **(3) Route by task, not brand loyalty:** raw complex-mask quality lives in F...