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Carousel Studio

Repurpose X Threads into LinkedIn & Instagram Carousels

Thread Truncated (Cap Enforced)

Only the first 20 tweets are unrolled into slides to ensure reliable PDF exporting and high server performance.

Canvas & Ratio

Choose your destination platform format


Layout Template

Choose a content structure for your slides


Preset Themes


Typography & Sizing

Title Font Size36px
Body Font Size18px
Header & Footer Size12px

Brand Kit Customization

AGENCY

Configure brand assets for headers & footers

MULTI-PROFILES (AGENCY)
AGENCY
SAVE PRESETS (AGENCY)

Outro Slide CTA

Customize your closing call-to-action slide

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Background Pattern

Source Content

Build Your Carousel

Drag and drop any post card below onto a slide, or use the quick buttons to insert content/images instantly!

Drag Post #1
Ryan Hart
@thisdudelikesAI

How to write JSON prompts to get shockingly accurate outputs from any chatbot:

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Ryan Hart
@thisdudelikesAI

first…what is json prompt writing? it's just putting your prompt inside a structured format. like this: { "task": "summarize this article", "audience": "college students", "length": "100 words", "tone": "curious" } not english. not vibes. just instructions, like a form

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Ryan Hart
@thisdudelikesAI

why does it work so well? llms don’t "understand" language the way we do. they follow patterns and structure. and json is ultra-structured. it leaves no ambiguity. they don’t have to guess what you mean. you’re telling them exactly what you want.

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Ryan Hart
@thisdudelikesAI

think of it like this: regular prompt: can you write a tweet about dopamine detox? json-style: { "task": "write a tweet", "topic": "dopamine detox", "style": "viral", "length": "under 280 characters" } see the difference? clear. modular. machine-readable.

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Ryan Hart
@thisdudelikesAI

want even sharper outputs? you can nest the json. { "task": "write a thread", "platform": "twitter", "structure": { "hook": "strong, short, curiosity-driven", "body": "3 core insights with examples", "cta": "ask a question to spark replies" }, "topic": "founder productivity systems" } you just turned prompt spaghetti into clean code.

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Ryan Hart
@thisdudelikesAI

so how do you write json prompts? 3 basic rules: - use key-value pairs - be explicit - use nested objects for structure example: { "task": "generate a list", "topic": "books that improve thinking", "audience": "young entrepreneurs", "output_format": "markdown bullets" }

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Ryan Hart
@thisdudelikesAI

this works across all major models. chatgpt? yes. claude? thrives on it. gemini? understands structure well. mistral, gpt-4o, etc? all love structured input. some even prefer it.

Drag Post #8
Ryan Hart
@thisdudelikesAI

a quick comparison to prove it: normal prompt: recommend books that help me think clearer json prompt: { "task": "recommend books", "topic": "thinking clearly", "audience": "entrepreneurs", "output_format": "list of 5 with one-sentence summaries" } run both. the second is crisper, clearer, and more relevant.

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Ryan Hart
@thisdudelikesAI

here's one you can try in Veo 3 right now: simple prompt: show me a product demo style video of a fitness app

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Ryan Hart
@thisdudelikesAI

json version: { "task": "generate a video", "video_type": "product demo", "theme": "fitness app", "duration": "8 seconds", "tone": "energetic and sleek", "visual_style": "clean UI, fast transitions" } watch how much better the output and exact.

VIDEO
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Drag Post #11
Ryan Hart
@thisdudelikesAI

examples:

VIDEO
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Ryan Hart
@thisdudelikesAI

VIDEO
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Ryan Hart
@thisdudelikesAI

why this works: models like gpt are trained on code, docs, apis, and structured data. json looks like the stuff they were fed. so they treat it as higher-signal. the less they have to guess, the better the result.

Drag Post #14
Ryan Hart
@thisdudelikesAI

another example: bad prompt: write me a cold email that converts better (json): { "task": "write cold email", "audience": "SaaS founders", "product": "ai sales automation tool", "goal": "book a 15-minute call", "tone": "friendly but confident" } gets straight to the point. every word earns its place.

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Ryan Hart
@thisdudelikesAI

bonus: you can even write inside the json like this: { "task": "improve writing", "input": "Our team is proud to announce the next chapter of our journey.", "goal": "make it more vivid and emotional", "audience": "customers", "tone": "authentic and inspiring" } clean. surgical. upgradeable.

Drag Post #16
Ryan Hart
@thisdudelikesAI

want to write content that always hits? use this json skeleton: { "task": "write content", "platform": "twitter", "structure": { "hook": "short, punchy, curiosity-driven", "point": "3-5 insights, each 2-3 sentences", "action": "one question to spark replies" }, "topic": "your topic here", "tone": "casual and smart" } it works for almost anything.

Drag Post #17
Ryan Hart
@thisdudelikesAI

here are 5 high-leverage use cases people use AI for daily — with json templates: you can copy/paste these and just swap out the input. plug-and-play style.

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Ryan Hart
@thisdudelikesAI

1. generate videos with voice (e.g. Veo 3) { "task": "generate video", "platform": "Veo", "video_type": "explainer", "topic": "how to start a dropshipping store", "duration": "60 seconds", "voiceover": { "style": "calm and confident", "accent": "US English" }, "visual_style": "modern, clean, fast cuts" }

Drag Post #19
Ryan Hart
@thisdudelikesAI

2. generate content (for social, blogs, emails, etc) { "task": "write content", "platform": "twitter", "structure": { "hook": "short, curiosity-driven", "body": "3 insights with smooth flow", "action": "1 strong question" }, "topic": "how to stay focused as a solo founder", "tone": "relatable and smart" }

Drag Post #20
Ryan Hart
@thisdudelikesAI

3. write or debug code { "task": "write code", "language": "python", "goal": "build a script that renames all files in a folder", "constraints": ["must work on MacOS", "include comments"], "output_format": "code only, no explanation" }