- SignalDesk2 hr ago
Original Summary
I’ve been trying three approaches to making AI carousels: ChatGPT, Claude Code, and Carousai, a tool I’m building. They look like they solve the same problem, but each gives you a different kind of output: ChatGPT’s image generation gives you a finished image. Claude Code can give you slides built in HTML/CSS. Carousai gives you a carousel you can keep editing in a visual editor. That difference becomes much more noticeable when the first draft is almost right. ChatGPT: a quick way to get a finished visual Describe the topic, style, and content, and ChatGPT can help with the structure and generate the visuals. It’s useful for a one-off post, testing an idea, or finding a visual direction. The friction starts when you want a specific change: a different font, slightly different text placement, or a new background while keeping everything else intact. A generated image doesn’t give you separate, editable text and design elements. You can ask the AI for changes, but that’s a different workflow from selecting an element and adjusting it yourself. Claude Code: a carousel built in HTML/CSS With Claude Code, you can ask for slides with specific dimensions, layouts, colors, typography, and pretty much any other design logic. If you’re comfortable with code, that gives you a lot of control. It also makes sense if carousel creation is part of an automated workflow. But the output is code. Want to try another font? Edit the CSS or ask Claude to change it. Want a stock photo or a video background? Add the asset and implement it. Those things are possible. They just need to exist in your implementation. A font picker, a stock photo browser, or a button to switch background types doesn’t automatically come with the slides. You’d have to build those too. At some point, I realized I’d gone from “I want to automate making carousels” to “I’m building a carousel editor.” Carousai: generate a draft, then edit it yourself That’s why I’m building Carousai as an editor, rather than just a Generate button. AI handles the first pass: structure, copy, and the initial slide design. After that, the carousel stays editable. If I don’t like a font, I want to change it in the editor. If the copy needs work, I want to edit it directly. I don’t want every small adjustment to require another prompt or a code change. For me, that’s the real test of an AI design tool: how useful is it after you say, “This is close, but I want to change a few things myself”? Which would I choose? ChatGPT’s image generation: for a quick visual when I don’t expect many precise edits. Claude Code: for control through HTML/CSS, especially in a custom automated workflow. Carousai: for an AI first draft followed by editing in a visual interface. Carousai came out of wanting that last workflow for myself: Generate → open → tweak → export. Disclosure: I’m building Carousai, so this is my perspective as both a user and the maker. If you use AI to make carousels, how do you handle the last round of edits? 
- 情报分类:商业与市场研究
- 分类依据:内容涉及商业、投资或市场动态
- 信息来源:Reddit · SideProject
- 发布时间:2026/10/13 03:08:09
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