Free AI workflow framework / Issue 001

GPT Image in.
Figma export out.
AI runs it.

A start-to-finish operating manual for turning raw AI visuals into polished carousel systems — prompt rules, layout logic, QA checks, and export steps.

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No generic AI tips. Just the actual production pipeline.
FrameOps / Carousel Preview
FrameOps carousel pipeline preview
The missing system

The gap between raw GPT images and carousels people save.

Pretty AI images are not enough. This framework shows the production layer: how to turn raw visuals into structured slides with real type, clear hierarchy, QA, and an export-ready CTA.

01
GPT Image prompt rulesGenerate assets without fake text, weird UI copy, or unusable crops.
02
Figma layout systemA simple structure for turning raw images into readable carousel slides.
03
Mobile readability QASafe margins, type scale, layer checks, and collision rules before posting.
04
Export checklistFinal pass for story clarity, CTA consistency, and IG-ready exports.
The pipeline

Built for repeatable output, not random prompt experiments.

STEP 1
Brief

Define audience, offer, slide job, and CTA before generating anything.

STEP 2
Generate

Use GPT Image for visual material — not final slides with broken text.

STEP 3
Layout

Bring assets into a deterministic Figma-style system with hard text zones.

STEP 4
QA + Export

Check overlaps, margins, hook clarity, CTA, then export IG-ready slides.

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Prompt logic + GPT Image asset rules
Figma-style layout and safe-zone checklist
QA/export pass for polished IG carousels

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