In this video, we breakdown the new in-painting and image editing controls in ChatGPT and OpenAI Codex. Learn how to leverage feature tools including Commenting (pixel tagging), Object Removal, and Resizing to rapidly revise AI-generated ad creatives without starting over from scratch. 👀 WHAT I COVER: 👉 The 3 Core In-Image Tools: How to use commenting, brush removal, and aspect ratio resizing directly on generated outputs. 👉 Pixel-Specific Commenting: How tagging exact image locations automatically passes precise coordinate data to the AI for targeted edits. 👉 Batch Conversion Stacking: How to request 3 to 5 rapid variations at once to add high-converting social proof, trust badges, and money-back guarantees. 👉 Selective In-Painting & Erasing: How to draw over unwanted ad elements or visual artifacts to clean up backgrounds instantly. 👉 Codex Evaluator Benchmarks: Setting benchmark criteria for your agents so revisions consistently align with customer pain points. 👉 The Graphic Designer AI Workflow: Generating 10 to 20 base variations and using a human-in-the-loop session to scale winning ad creatives. --- 🔗 RESOURCES & LINKS: 🔹 FREE Strategy Call/Audit: https://book.thegrowthub.com/widget/bookings/growthub-discovery-call-jo 🔹 Join the Growthub Community: https://www.skool.com/growthub/about --- Follow Me: 🔹 Twitter/X: https://x.com/ant0ni0_r0mer0 🔹 LinkedIn: https://www.linkedin.com/in/antonioromero1/