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A 10-Minute QA Pass for AI Images Before Publishing

AI image generation can produce a convincing first draft in seconds, but publishing that first draft is usually where avoidable mistakes begin. This ten-minute review is designed for landing pages, ads, social cards, ecommerce concepts, and presentation visuals. Disclosure: this article is shared by the GenImageAI product team. The review method works with any image generator; our product is included only as one practical browser-based example. Minute 1–2: confirm the brief Compare the output with the original requirements. Check the subject, action, aspect ratio, mood, audience, and any forbidden elements. A beautiful image that misses the intended channel is not ready. Minute 3–4: read every character Do not scan text as a shape. Read it letter by letter. Verify spelling, capitalization, punctuation, spacing, and multilingual glyphs. Then shrink the image to its expected display size; readable at 4K does not guarantee readable in a feed card. Minute 5–6: inspect visual logic L...
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Readable Text in AI Images: A Workflow That Actually Works

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AI image generators have become impressively good at style, lighting, and composition. Yet one problem still separates a usable result from an attractive demo: readable text inside the image. This matters whenever the image is more than decoration. A product mockup needs legible buttons. A poster needs a headline that can be read at a glance. A social graphic needs the brand name spelled correctly. If the text is wrong, the whole image often has to be regenerated. Why text is still difficult An image model does not place letters in quite the same way a design application does. It synthesizes an entire scene from visual patterns, so a word may be treated partly as a texture. That is why common failures include missing letters, repeated characters, inconsistent spacing, or text that changes language halfway through. The difficulty increases when a prompt asks for several things at once: a complex composition, a specific photographic style, multiple objects, and exact typography. ...
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Sora 2 Video Generator: What It Did Well, and Where It Broke

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If you searched for the Sora 2 video generator today, you probably landed on a page telling you how to sign up. Most of those pages are out of date. The Sora app shut down on April 26, 2026, and OpenAI has said the Sora API goes dark on September 24, 2026, about six weeks from the day I am writing this. So the honest version of "where it breaks" is not about pixels or clip length. The thing that broke was the product line. I want to be clear about what this post is and is not. I did not run a fresh hands-on test, because there is no consumer product left to run. What I can do is separate what Sora 2 genuinely got right, document the timeline with sources, and give you a repeatable way to check whether the next video model you find is alive or a leftover listing. The short answer Sora 2 was OpenAI's video and audio generation model, released September 30, 2025. It generated short clips from text or images with synced audio built in, and it let you insert a real per...
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How to Use Banana Prompts (Without Expecting a Copy-Paste Miracle)

[Image 1: five-step banana-prompt workflow] Quick summary: "Banana prompts" are ready-made text prompts for Nano Banana, Google's Gemini image model, usually browsed in a gallery you can filter and copy from. They are a genuinely useful shortcut, but with one catch worth knowing before you start: copying a prompt does not copy the image. AI image models produce a different result every run unless the settings are pinned. So the real skill is using a prompt library as a starting point you adapt, not a vending machine. This guide shows how to do that. What "banana prompts" actually are Nano Banana is the name attached to Google's Gemini image generation and editing model. "Banana prompts," then, are just prompts written for that model: text descriptions that tell it what image to make or how to edit one. Because writing good prompts from scratch is hard, people collect and share the ones that work. A prompt library is a searchable gallery of thes...
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Seedance 2.0 tested: AI video that stays consistent

  If you've used any AI video generator in the past year, you know the frustration. You write a careful prompt, generate a five-second clip, and your character's jacket is blue in one shot and green in the next. Their face shifts. The logo on the coffee cup melts into something else. So you re-roll. And re-roll again. Prompt roulette. Seedance 2.0 is built around a different idea: stop describing what you want and start showing it. What is Seedance 2.0? Seedance 2.0 is a multimodal AI video model from ByteDance that lets you guide output with references — images, video clips, and audio — instead of relying on text prompts alone. You give it examples of the look, the motion, and the voice you want, and it generates video that holds those elements steady across frames and shots. Seedance first launched in June 2025; version 2.0 arrived in February 2026, according to Wikipedia's entry on the model . ByteDance documents the wider family on its official Seed model page , where t...
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