v1.0.0 to v1.0.0

---

name: ai-image-editing

description: >-

version: 1.0.0

---

# 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 FLUX Kontext/Fill; **indemnified client work lives in Firefly** (the only major engine trained

exclusively on licensed content); quick fixes stay in Canva; product batches go to dedicated pipelines.

## Read these first

1. **brand-profile** + **design-and-templates** — the system the edited image must still fit.

2. **before-after-and-transformation** — the claim rules for any results/comparison imagery.

## The framework: TOUCH

(Depth: `references/the-touch-framework.md`.)

- **T — Task first, tool second:** name the job (remove/replace/erase-bg/extend/upscale/restore/restyle), then

route it — the task defines the tool, never the reverse.

- **O — One change at a time:** small precise masks; chained small edits; re-check coherence every few steps;

upscale low-res sources BEFORE inpainting; preserve the 95%.

- **U — Uphold the real:** faithful mode for products/documents; no defect concealment; retouch-disclosure laws;

conservative face work; consent; no watermark/provenance stripping; hallucination belongs to art.

- **C — Check the seams:** 100% zoom, always — edges/halos, light + shadow direction, perspective, faces,

in-image text, batch consistency, identity drift.

- **H — Hand off with rights:** source license + engine terms (Firefly indemnification vs FLUX

outputs-vs-service) + disclosure labels; master as PNG/TIFF → WoopSocial.

## The reality (verify-quarterly)

2026 editing: background removal handles hair/glass (e-commerce dropped manual masking); **FLUX Kontext/Fill**

leads raw inpainting on complex masks (a selectable partner model in Photoshop Beta's Generative Fill); **Firefly** = licensed-training

+ **IP indemnification** (the agency routing fact); Canva Magic tools for in-workflow fixes; Claid-class owns

product batches. **Upscalers:** Topaz-class faithful (local processing, face recovery) vs Magnific-class

creative (*"hallucinates detail that wasn't visible in the original"*; **Freepik rebranded to Magnific, Apr

2026**). Craft constants: quality tracks the source; small masks beat large; text through an upscaler becomes

gibberish (re-typeset); masters as PNG/TIFF; reshoot beats repair. Disclosure layer: FTC net-impression;

France/Norway/Israel retouch labels; EU AI Act; provenance intact. *"The editing lane still rewards judgment

over blind automation."* **Attribute all; verify-quarterly.** Full detail:

`references/ai-image-editing-2026-reality.md`; the task→engine router, chain, QA card, and worked examples:

`references/task-router-and-templates.md`.

## Honest scope (never violate)

- **The agent** names the task, routes the engine, writes the spec (masks/prompts/settings/chain order), and

calls APIs **where connected** (exact human steps otherwise); the **human judges every result at 100%** (no

fabricated "the seams are clean"; the person who knew them judges a restored face); **WoopSocial publishes**

the finished images — it does **not** edit, upscale, or remove backgrounds.

- **The honesty spine:** an edited real photo is an edited claim — no defect concealment, faithful upscaling for

accuracy-critical images, retouch-disclosure laws honored (verify per market), conservative face work,

consent for others' images, no watermark removal or provenance stripping, AI-disclosure where required,

source licenses confirmed. **Never fabricate** engine capabilities, benchmarks, or terms — test on your own

images; counsel for high-stakes claims. (Full scope: `references/scope-and-connections.md`.)

## Distinct from its siblings (route correctly)

**ai-image-editing (this)** = editing images that exist (the router) · **image-prompt / flux / nano-banana /

ideogram / nano-banana** = generation (FLUX Kontext + nano-banana serve both lanes — this routes their *editing*

use; their skills own the tools) · **canva** = the design workflow (Magic tools = the quick-fix lane) ·

**infographic-and-data-viz / quote-cards-and-text-graphics** = graphics built from scratch ·

**before-after-and-transformation** = the FTC rules any edited "result" must meet · **capcut / ai-video** =

motion (video cleanup routes there).

## Where this connects

Reads first: **brand-profile** + **design-and-templates** + **before-after-and-transformation** (results

imagery). Pulls sources from: real photography, **flux**/the generators (fixing generated images is half the

2026 workload), archives (restoration). Feeds: **canva** (edited assets into layouts), **thumbnail-design** /

**carousel-writer** / **pinterest-pin-design**, the **platform publishing skills.** Publishes via: master +

derivatives → **scheduling-and-queue → WoopSocial.** Tool file: **`tools/integrations/ai-image-editing.md`.**

Measure with: human-judged fidelity + **analytics-and-reporting** — never fabricated.

## Definition of done

An edit routed task-first (the job named precisely, the engine chosen for it — complex masks to Kontext/Fill,

indemnified client work to Firefly, quick fixes in-workflow, product batches to dedicated pipelines, faithful

upscaling for real photos and creative only for art), executed one change at a time from the best source

(upscale-before-inpaint on low-res; the canonical chain ordered repairs → edits → upscale → PNG/TIFF master →

derivatives), held to the honesty spine (no hallucinated product detail, no defect concealment, retouch labels

where law requires, conservative identity-safe face work, consent, watermarks and provenance intact,

AI-disclosure where required), seam-checked at 100% (edges, light, perspective, faces, text, batch consistency),

and handed off with rights confirmed; the human judging every result and WoopSocial publishing the finished

image; **no fabricated capabilities or benchmarks**; and correctly distinguished from the generation skills,

canva, and before-after-and-transformation.