Which Generation Are You?
தலைமுறைகள் மாறலாம், ஆனால் நினைவுகள் மாறுமா? 💭 1883 முதல் 2024 வரை பிறந்தவர்களுக்கான தலைமுறைப் பெயர்கள் இங்கே!
இதில் உங்கள் தலைமுறை எது?
பொதுவாக 2010 முதல் 2024 வரை 'ஜெனரேஷன் ஆல்பா' என்று அழைப்பார்கள்.
Google AI Studio பத்தி கேள்விப்பட்டீங்களா? 𝐅𝐫𝐞𝐞-ல 𝐀𝐈 𝐛𝐮𝐢𝐥𝐝 பண்ணலாம் — இது எல்லா developers-க்கும் game changer! 🚀
நம்ம Tamil tech community-ல நிறைய பேர் AI projects try பண்ணணும்னு நினைக்கறாங்க, but cloud costs-உம், complex setup-உம் பாத்து தயங்குறாங்க. அதான் Google-ஓட இந்த AI Studio வந்திருக்கு — 𝐆𝐞𝐦𝐢𝐧𝐢 𝐦𝐨𝐝𝐞𝐥𝐬-ஐ 𝐟𝐫𝐞𝐞-ல 𝐚𝐜𝐜𝐞𝐬𝐬 பண்ணலாம், experiment பண்ணலாம், prototype build பண்ணலாம்! 💡
𝐂𝐨𝐝𝐞 இல்லாமலேயே 𝐀𝐈 𝐚𝐩𝐩𝐬 𝐜𝐫𝐞𝐚𝐭𝐞 பண்ணலாம்னு தெரியுமா? இது தான் real democratization da! நீங்க ஒரு content creator-ஆ இருந்தாலும், teacher-ஆ இருந்தாலும், student-ஆ இருந்தாலும் — உங்க ideas-ஐ AI-powered apps-ஆ convert பண்ணலாம். Low-code interface மூலமா drag-and-drop பண்ணி prototype ready பண்ணிடலாம்! 🎯
என்னோட favourite feature? 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐩𝐫𝐨𝐦𝐩𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧! Different prompts try பண்ணுங்க, model parameters tweak பண்ணுங்க, instant-ஆ results பாருங்க. Temperature adjust பண்ணுங்க, token limits play பண்ணுங்க — எல்லாமே live environment-ல கத்துக்கலாம். இது ஒரு complete masterclass மாதிரி! 📚
Prototype-இல் இருந்து production-க்கு போற journey பத்தி நான் ஒரு tutorial series plan பண்றேன். API integration, deployment strategies, scaling considerations — எல்லாமே step-by-step-ஆ cover பண்ணுவேன். நம்ம community-க்கு practical, hands-on learning important-னு எனக்கு தெரியும்.
EdTech space-ல இருக்கறவங்களுக்கு இது gold mine! Interactive quiz generators, personalized learning assistants, automatic content summarizers — எல்லாமே Google AI Studio-ல experiment பண்ணி, fine-tune பண்ணி, deploy பண்ணலாம். Zero investment, maximum learning! 💪
உங்களுக்கு 𝐀𝐈 𝐒𝐭𝐮𝐝𝐢𝐨-வோட எந்த 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 முதல்ல 𝐭𝐫𝐲 பண்ணனும்னு தோணுது? Comment-ல share பண்ணுங்க bro! நம்ம collective-ஆ கத்துக்குவோம் 🔥
Most people treat CLAUDE.md like a prompt file.
That’s the mistake.
If you want Claude Code to feel like a senior engineer living inside your repo, your project needs structure.
Claude needs 4 things at all times:
• the why → what the system does
• the map → where things live
• the rules → what’s allowed / not allowed
• the workflows → how work gets done
I call this:
The Anatomy of a Claude Code Project 👇
━━━━━━━━━━━━━━━
1️⃣ CLAUDE.md = Repo Memory (keep it short)
This is the north star file.
Not a knowledge dump. Just:
• Purpose (WHY)
• Repo map (WHAT)
• Rules + commands (HOW)
If it gets too long, the model starts missing important context.
━━━━━━━━━━━━━━━
2️⃣ .claude/skills/ = Reusable Expert Modes
Stop rewriting instructions.
Turn common workflows into skills:
• code review checklist
• refactor playbook
• release procedure
• debugging flow
Result:
Consistency across sessions and teammates.
━━━━━━━━━━━━━━━
3️⃣ .claude/hooks/ = Guardrails
Models forget.
Hooks don’t.
Use them for things that must be deterministic:
• run formatter after edits
• run tests on core changes
• block unsafe directories (auth, billing, migrations)
━━━━━━━━━━━━━━━
4️⃣ docs/ = Progressive Context
Don’t bloat prompts.
Claude just needs to know where truth lives:
• architecture overview
• ADRs (engineering decisions)
• operational runbooks
━━━━━━━━━━━━━━━
5️⃣ Local CLAUDE.md for risky modules
Put small files near sharp edges:
src/auth/CLAUDE.md
src/persistence/CLAUDE.md
infra/CLAUDE.md
Now Claude sees the gotchas exactly when it works there.
━━━━━━━━━━━━━━━
Prompting is temporary.
Structure is permanent.
When your repo is organized this way, Claude stops behaving like a chatbot…
…and starts acting like a project-native engineer.
USA has ChatGPT
USA has Grok
USA has Claude
USA has Gemini
USA has Llama
USA has Copilot
China has DeepSeek
China has Qwen
China has Ernie
China has GLM
China has Kimi
China has MiniMax
India has?
😱Anthropic isn’t just building chatbots
They’re building a system that can think, code & execute
And most people are using it wrong.
There are actually 3 different Claudes — and each one replaces a different type of work:
1. Claude AI → replaces Google + docs + junior research
• Writing, thinking, summarizing, ideation
• Zero setup, pure conversation
2. Claude Code → replaces hours of engineering work
• Reads your entire codebase
• Edits multiple files
• Writes, debugs, and runs tests autonomously
3. Claude Cowork → replaces repetitive computer tasks
• Renames, organizes, and edits files in bulk
• Extracts data from PDFs → spreadsheets
• Automates cross-app workflows
Simple rule:
• Thinking → Claude AI
• Building → Claude Code
• Doing → Claude Cowork
Most people only use the first.
The leverage is in the other two
It’s already 2026, time to work smarter using AI!
1. ChatGPT com – ask anything
2. RecCloud com – change voice
3. Krea ai – create logos
4. ElevenLabs io – voice cloning
5. Gamma app – design documents
6. Suno ai – make music
7. Runway ml – edit videos
8. Relume io – web design
9. Descript com – edit audio
10. Tome app – presentations
11. Perplexity ai – research
12. PicWish com – edit photos
13. LumaLabs ai – 3D models
14. Pika art – AI videos
15. PicWish com – Remove background
16. Animoto com – Auto video maker
17. Axiom ai – Browser automator
18. Upword ai – Summarize long docs
19. Cleanup pictures – Remove unwanted objects
20. Brandmark io – Generate logo
21. Simplified com – Write and design fast
SAVE THIS
PONGAL PROMPT
1. Open Gemini nano banana
2. Upload your image
3. Paste this prompt
For girls : {
"prompt": "Edit the uploaded image to create an ultra-realistic South Indian Pongal festival portrait of an adult Tamil woman. She is dressed in a traditional same-color pattu saree, richly woven with a gold zari border, draped in an authentic Tamil style. The blouse perfectly matches the saree color, enhancing a graceful and elegant traditional look. She wears minimal traditional jewelry including gold jhumkas and bangles, with neatly tied or softly flowing hair adorned with mallipoo (jasmine flowers). A small round bindi is visible on her forehead, along with a subtle sacred mark (vibuthi or kumkum). She is confidently carrying a fresh sugarcane stalk resting on her shoulder, smiling naturally with a joyful, proud, and culturally rooted expression. Background features a traditional South Indian Pongal village setting with a clay Pongal pot overflowing with rice, a fresh turmeric plant, sugarcane stalks, and vibrant kolam (rangoli) on the ground. Warm festive atmosphere with golden sunlight, soft natural lighting, shallow depth of field, ultra-realistic photography style, natural skin tones, high detail, elegant and authentic mood.",
"style": "ultra-photorealistic, cinematic rural photography",
"lighting": "warm golden sunlight, soft natural light",
"camera": "eye-level, shallow depth of field",
"quality": "high detail, natural colors, realistic textures",
"aspect_ratio": "4:5"
}
For boys :
{
"prompt": "Edit the uploaded image to create an ultra-realistic South Indian Pongal festival portrait of an adult Tamil person, using the EXACT same background and sunlight as the reference image. Maintain identical warm golden morning sunlight, soft directional light, gentle shadows, and natural glow seen in the reference. Preserve the same rural village courtyard setting with the clay Pongal pot boiling on a wood fire, soft smoke rising, sugarcane plants nearby, earthy ground, and colorful kolam beneath the feet. The person is dressed in a traditional Pongal outfit: white veshti (dhoti) with a rich golden zari border and a matching silk red or earthy-toned shirt, with a single subtle line of vibuthi on the forehead. The person confidently carries a fresh sugarcane stalk resting on the shoulder, smiling naturally with a joyful, proud, and culturally rooted expression. Keep camera angle, depth of field, color temperature, and lighting mood exactly matching the reference image for maximum realism.",
"style": "ultra-photorealistic, cinematic rural photography",
"lighting": "warm golden sunlight, soft natural morning light, realistic shadows",
"camera": "eye-level, shallow depth of field, natural perspective",
"quality": "high detail, natural skin tones, realistic textures",
"aspect_ratio": "4:5"
}
GOODBYE CANVA.
This AI agent builds Gamma investor decks automatically with live market research, competitive analysis and financial projections.
Here's the problem:
Building investor decks is brutal. You're Googling market sizes, stalking competitors, guessing at financials and dragging boxes around in Canva.
Takes 2-3 weeks. Costs $5K-$15K if you hire an agency. And it's outdated by the time you pitch.
This AI agent solves it:
→ Submit product details via form
→ Perplexity runs 3 parallel research calls (TAM/SAM/SOM, competitors, GTM)
→ Claude structures the pitch narrative across 18 slides
→ Gamma generates a branded, professional deck
→ Delivered to your inbox with PDF + edit link
No manual research. No design skills. No waiting on agencies.
What you get:
→ Problem/solution framing that hooks investors
→ Market size with real data and sources
→ Competitive landscape with differentiation matrix
→ Business model with unit economics
→ Go-to-market strategy with milestones
→ Team section and funding ask
All data current. All slides branded. All in ~4 minutes.
Want the complete n8n AI Agent workflow?
RT + Comment "LAUNCH" + Like
(Must be following so I can DM)
🚀 Automate Instagram, TikTok, X, FB & LinkedIn—zero effort!
From Khulna to Global, I built this AI workflow using n8n + AI Agents + APIs for:
✨ Auto content
📅 Smart scheduling
📊 Analytics
🔁 Cross-posting
Like+comment (SEND)
Repost 🔄& follow✅ if this helps you!
98% of faceless video tutorials are fluff.
I built a full-stack faceless video system with n8n + Claude that writes,
edits, and publishes to 12 platforms — automatically.
Here are the 3 prompts that make it run like clockwork.
I scaled a side hustle to $ 30,000/ Year.
Bonus: Comment “X2:” and I’ll DM you the full workflow + system prompt ↓