#JSON
JSON, explained by cats. #cat #code #json #structure #data
From APIs to databases, JSON is everywhere. But what makes it so powerful and universal? 🔍
In this video, we break down what JSON is, how it works, and why it became the language of modern data 📦💬
Perfect for devs, tech enthusiasts, or anyone who's ever seen those curly braces {} and wondered what they mean.
#JSON #TechExplained #Programming #APIs #computers
💬 Comment “JSON” or “NORMAL” and I’ll send you the exact prompt used
Same origin.
Same symbol.
Two completely different ways of directing AI.
This reel compares a Normal prompt versus a Jason-style cinematic prompt using the bull — the core DNA of Lamborghini.
This exact format has already crossed 63 million views.
With a normal prompt, AI recognizes the bull as an image.
With a Jason-style prompt, AI understands mass, aggression, balance, and dominance — and reconstructs those physical traits into automotive identity.
The horns become stance.
The muscle becomes torque.
The presence becomes performance.
No random morphing.
No visual shortcuts.
Just intent → structure → power → motion.
This is the difference between telling AI what to generate…
and directing AI to think like an engineer and a filmmaker.
💬 Comment “JASON” or “NORMAL” and I’ll send you the exact prompt used.
#cinematicai #promptengineering #aivideo
Now you can generate consistent illustrations using AI.
Here's how:
Find any illustration you like. Screenshot it. Load to Gemini. Type: "Make a JSON prompt for this exact style."
Gemini analyzes colors, shapes, everything. Gives you template.
The secret: Copy template. Open new Gemini chat. Tell it what you want.
Coffee cup. Laptop. Person at desk.
Everything in same style. Matches perfectly.
It's free. Takes 5 minutes to learn.
Traditional: Hire illustrator, pay per asset, wait days
This: Generate unlimited consistent illustrations, instant, free
What are you waiting for? Go to gemini right now & test it yourself.
#AIArt #AIDesign #Illustration #AITools #AIIllustration GraphicDesign
This VS Code extension is super useful 🔥
It lets you generate the file tree structure of your project in multiple formats like JSON, SVG, Markdown, or ASCII, with or without icons.
Just right-click in the directory sidebar and generate it instantly.
Perfect for:
- documenting project structure
- creating visuals for README files
- sharing folder layouts with your team
Watch the video for a quick demo :)
Hope this helps ✅
Drop a like if you found this post helpful! ❤️
Follow @rammcodes_ for more💎
#html #ai #javascript #100daysofcode #webdevelopment
There are my first steps in Physical AI.
Wanna try more.
#roboticsai #ai #robotarm #llm #robotics
إضافة VS Code هذه مفيدة للغاية 🔥
تتيح لك إنشاء بنية ملفات مشروعك
بتنسيقات متعددة مثل JSON وSVG وMarkdown وASCII،
مع أو بدون أيقونات. ما عليك سوى النقر بزر الفأرة الأيمن في الشريط الجانبي للمجلدات لإنشائها فورًا. مثالية
لـ: - توثيق بنية المشروع - إنشاء رسومات توضيحية لملفات README - مشاركة تخطيطات المجلدات مع فريقك شاهد الفيديو لتجربة سريعة :) نتمنى أن يكون هذا مفيدًا ✅
ضع إعجابًا إذا وجدت هذه المشاركة مفيدة!
تابعني للمزيد 📌💡 @lky_112l
...
برج خليفة: أيقونة تعانق السماء
في قلب مدينة دبي، حيث يلتقي الطموح بالابتكار، يقف برج خليفة شامخا كرمز عالمي للإرادة الإنسانية وقدرتها على تجاوز الحدود. ليس البرج مجرد بناء مرتفع، بل حكاية حلم تحوّل إلى حقيقة، وملحمة هندسة كتبت تفاصيلها من فولاذ وزجاج وضوء.
يبلغ ارتفاع برج خليفة 828 مترًا، متوجا نفسه أطول مبنى شيد على وجه الأرض. يضم 163 طابقًا فوق سطح الأرض تتوزع فيها مساحات سكنية فاخرة، ومكاتب راقية، وفندق أرماني الذي يحمل توقيع المصمم العالمي جورجيو أرماني في تجربة تجمع بين الفخامة والبساطة الراقية.
بدأت قصة البرج عام 2004، حين انطلقت أعمال البناء بقيادة فريق عالمي من المهندسين والمصممين، أبرزهم المعماري أدريان سميث من شركة SOM. وبعد ست سنوات من العمل المتواصل، افتتح البرج رسميًا في الرابع من يناير عام 2010، ليحمل اسم «برج خليفة» تكريما للشيخ خليفة بن زاید آل نهیان.
استلهم تصميم البرج من زهرة الهيمنوکالیس، فانعكست خطوطها في شكل انسيابي متدرّج يقلل من تأثير الرياحالقوية، ويمنح البرج ثباتًا هندسيا فريدًا. كما زود بأنظمة متطورة للتبريد ومصاعد من الأسرع في العالم، تصل سرعتها إلى نحو 10 أمتار في الثانية، لتختصر
There is no “magic prompt” 🪄
The key is experimenting, testing, failing, tweaking, failing again, and carrying what you learned into the next attempt. That’s how this video came together. Not from some tutorial, but from hours of trial and error. Natural language prompting not working? Try JSON prompting. JSON prompting not working? Try natural language prompting. Adapt.
AI isn’t perfect. Most of the time it hands you lemons 🍋 So you clip-farm. You search for those 1–2 seconds of gold hidden in the noise and use them to build something bigger. That’s where the story comes from. I generated over 500 videos to create this spec.
And just like on a real set, you’re still the director. You guide your team, in this case, AI tools, with vision, taste, and intent. You don’t just type, “MaKe Me A cOoL sHoE vIdEo.” You have to bring the vision to the table. AI is just the assistant helping to execute it.
TOOLS USED
PLATFORM: @higgsfield.ai
PHOTO GEN: Nano Banana 🍌
VIDEO GEN: @klingai_official
UPSCALER: @magnific_ai
MUSIC: @musicbed
SFX: @ocular.sounds
VFX PLUG INS: @maxonredgiant @dehancer.film
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#nike #nikebasketball #jamorant #memphisgrizzlies #ai #aivideo #higgsfieldai #higgsfield #kling #klingai #nanobananaai #nanobanana #aiart #midjourneyaiart #musicbed #elevenlabs
Introducing render-json
The Generative JSON framework.
1. Point it at anything
2. It generates JSON
3. That’s it
Apps, games, and more. If it exists, it can be converted into a JSON spec.
𝚗𝚙𝚖 𝚒 @𝚓𝚜𝚘𝚗-𝚛𝚎𝚗𝚍𝚎𝚛/𝚛𝚎𝚗𝚍𝚎𝚛-𝚓𝚜𝚘𝚗
Comment “Crawl” and I’ll send you the repo link.
Firecrawl transforms any website into AI-ready data in minutes—cleaning up unnecessary content and converting it into structured JSON for easy processing by AI models.
#AItools #DataProcessing #WebScraping #GenerativeAI #AIworkflow #DataCrawl #TechInnovation #WebAutomation #StructuredData #AIIntegration #WebToAI #AImodels
Understand complex JSON with ease ✅
Checkout link here 👇
https://jsoncrack.com
Follow @nishasingla05 for more content ✅
Follow @nishasingla05 for more content ✅
Follow @nishasingla05 for more content ✅
Save the reel
#json #javascript #data #nishasingla05
Save it for later ⤵️
1. Learn Python for building, not for exams
Focus on functions, classes, file handling, JSON, async basics, and calling APIs. Build tiny scripts that actually do something (scrape, clean, send requests, save results).
2. Get comfortable with Git and GitHub like a daily habit
Learn branching, pull requests, resolving conflicts, and writing clean README files. In 2026, your GitHub is your proof of work.
3. Become useful with data: SQL + basic data modeling
Learn joins, window functions, aggregations, indexes basics, and how data flows from tables to dashboards to apps. Most AI work fails because data is messy, not because models are weak.
4. Understand ML fundamentals only to the “ship” level
Train/test split, overfitting, evaluation metrics, feature leakage, and baselines. Build 1 small classifier and 1 regression project end-to-end.
5. Learn the modern LLM basics (how models behave)
Tokens, context windows, temperature, hallucinations, and why “instruction following” breaks. Learn how to design prompts with clear constraints and examples.
6. Build your first RAG app properly (not a demo)
Chunking strategy, embeddings, vector DB, reranking, citations, and “don’t answer if not found.” This is the most common real-world LLM app pattern.
7. Add tool use so your AI can do real work
Function calling to query databases, run calculations, fetch internal docs, create tickets, send emails (in a sandbox), or call your own APIs. This is where “chatbot” becomes “assistant.”
8. Make outputs reliable with schemas and evals
Use structured outputs (JSON schemas), guardrails, and automatic evaluation sets. Build a simple test suite: 30–50 questions + pass/fail checks + regression tests.
9. Learn deployment and observability like an engineer
Docker, environment variables, logging, tracing, rate limits, caching, and cost monitoring. If you can’t measure latency and failures, you can’t run an AI product.
10. Specialize with one “production-grade” portfolio project
Pick one lane and go deep:
Had the character limit to the caption 🥹 gonna pin the rest of it in the comments 🫶🏼
