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Skip generic prompts—use JSON codes to unlock ChatGPT’s real power Last time, I dropped a guide. This? A whole new beast These aren’t tips—they’re 23+ precision-crafted JSON codes that turn ChatGPT into your ad design genius Why JSON? Vague prompts get you trash JSON codes force ChatGPT to think...

214,089 次观看 • 1 年前 •via X (Twitter)

11 条评论

Happy Enthusiast 的头像
Happy Enthusiast1 年前

JSON

SecBriefs | Making Cybersecurity Simple 的头像
SecBriefs | Making Cybersecurity Simple2 年前

Cracking the code of cybersecurity? 🔐 Our "Cybersecurity Dictionary for Everyone" is your secret weapon. 🤫 Forget endless Googling or confusing AI jargon! 🙅‍♂️ Learn the language of cybersecurity with ease and confidence. 💪 Get your copy today! 🛒

Ema 的头像
Ema1 年前

JSON

Taher Zari | CRO & Shopify Landing Pages 的头像
Taher Zari | CRO & Shopify Landing Pages1 年前

Can’t send you dms mate

lifesisfun 的头像
lifesisfun1 年前

JSON

Larry Williams 的头像
Larry Williams1 年前

JSON - thank you

heroies 的头像
heroies1 年前

Json

Clay Hebert 的头像
Clay Hebert1 年前

JSON

slavonian stud 的头像
slavonian stud1 年前

@apollonator3000 did you start all of this?

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Ross Fledderjohn1 年前

JSON

Amirs Alnadi 的头像
Amirs Alnadi1 年前

Json

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📖THE SEEDANCE 2.0 PROMPT FORMAT THAT NOBODY IS USING BUT EVERYONE SHOULD Most people use Seedance 2.0 wrong. They type a normal prompt and wonder why the result looks generic. The difference between these two visuals isn't a better idea — it's a better prompt format. Normal prompt gives you a good result. JSON prompt gives you a cinematic one. Here's why it works: A normal prompt describes what you want. A JSON prompt tells Seedance exactly how to build the scene — camera movement, lighting angle, atmosphere, texture, depth, timing. You're not asking for a video. You're engineering one. The crystal dolphin jumping above an ancient courtyard with floating jellyfish — same concept, two completely different outputs. The JSON version has golden hour, dramatic clouds, volumetric light, and a sense of scale the normal prompt never reached. The glowing lotus fountain — same story. Normal prompt gives you a clean render. JSON gives you a full cinematic frame with layered depth, warm lantern light, and a composition that looks like it belongs in a feature film. The workflow that produces this: • Step 1 — Write your scene idea in plain language first •Step 2 — Ask Claude to convert it into a structured JSON prompt with fields for: subject, environment, camera, lighting, mood, motion, color grade • Step 3 — Paste the JSON into Seedance 2.0 • Step 4 — Take the best clip into Premiere Pro for final color correction and sound design The tools are free or cheap. The knowledge of how to prompt is what separates the results. This is the gap most creators never close. 📥 BACK TOMORROW. There will be new life hacks 🔖 The full guide is pinned below. Save it before you need it.

Zentrix⌚️

136,152 次观看 • 1 个月前

if you are using someone else's garbage saas ai design review product, stop... all of if it is waste of time and i'll give you something better for free that runs with whatever analysis tools you want. altium-cruncher 2026.6.7 public release kicad-cruncher 2026.6.7 public release altium-cruncher is cli tool built on the altium-monkey library. (kicad-cruncher is built on kicad-monkey) here we show the "design_review" (dr) command dr converts an altium project into a simple graph-spatial-topological format specifical design for llm's - json netlist with links with detail indexes into the schematic SVG elements/groups - enriched pcb SVG heavily decorated with links back to the the json graph - all schematic notes in json form - SVG schematic/pcb elements are heirachically grouped w/ tags for the llm to build its own internal map of subcircuits with linkage to copper artwork subsections. - full part parameter linkage - an .md with a guide for codex/claude on how to step through the eviscerated project. - bonus: schdoc and pcbdoc in a raw json serialized format (what altium uses internally but doesnt give you from teh gui). this format is the literal json form of the altium format essentially all of the resolved schematic graph, physical topology, layer stack information and metadata to do make best use of current frontier and local llm techbology it actually was an accidental discovery. better than a netlist. no vendor lock-in. gives you some help without pretending its 100% . no need to waste tokens on full image processing,etc. this dataset works better, is simpler, and compatible with local llms. can help save some time and give you another set of eyes before a release. works on win/mac/linux gratis!

Eli Hughes

16,263 次观看 • 2 个月前

I just vibe coded a static ad generator in Claude Code that creates 100+ Meta ads in minutes. All using the new, insane ChatGPT Images 2.0 model. One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code on the new ChatGPT Images 2.0. Perfect for DTC brands and agencies who need more statics at scale. Here's how it works: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool fires every prompt to ChatGPT Images 2.0 with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

52,463 次观看 • 3 个月前