While everyone debated chatbots…Sarvam AI focused on documents. And that focus matters. Recent benchmarks suggest the Sarvam Vision OCR model outperforming ChatGPT and Gemini on Indian language OCR tasks — especially on low-quality scans and real-world documents. >Why This Is Important India doesn’t run on clean PDFs. We deal with: - Blurry mobile scans - Government forms - Aadhaar copies - Regional-language invoices - Mixed Hindi + English documents Sarvam Vision is built for: - Indian languages & scripts - Noisy, real-world formats - Enterprise & public-sector workflows - Bharat-scale document processing >What This Means for Builders If you're using n8n, Power Automate, or Make, this unlocks: ✅ Hindi doc → OCR → JSON → database ✅ GST invoice → extract → auto-validate ✅ Land records → digitize → searchable Instead of making global models fit India,you use a model built for India. That means higher accuracy, fewer corrections, and more reliable automation. Sometimes the advantage isn’t being the biggest model. It’s being the most relevant one. What’s your take — will India-first AI dominate applied workflows? 👇

I just released a video showing how I generate smooth zoom-and-pan videos from simple screenshots for Shorts, Reels, and product demos. Watch the video first to see the full workflow. And if you’re watching on YouTube, I’d really appreciate a like and a comment — it helps the channel a lot. If you’d like to use the exact project and run it yourself, the files and setup are available in the community here: https://www.skool.com/automation-tribe/ Let me know what you think after watching!

The Problem: My client's workflow relied on local n8n with ffmpeg for HTML-to-PDF conversion. Moving to cloud n8n meant finding an alternative—but most services charge premium prices for enterprise plans, even though we only needed <5 conversions daily. The Solution: After researching alternatives, I discovered https://www.convertfleet.com/ . It's not widely known, but it works reliably and fits our low-volume use case without the enterprise pricing overhead. Try it out: If you're dealing with similar n8n migration challenges, give ConvertFleet a test run. I'd love to hear what solutions you've found for HTML-to-PDF conversion in cloud environments. What's your go-to tool for this?

NEVER manually research prospects again... This AI system replaced a $60K/year SDR. While B2B founders waste 3 hours daily on prospect research... I built an automation that booked me 21 qualified meetings in 10 days. ↳ 3 already closed. $17,490 in new revenue. The capabilities are insane: - Scrapes entire websites in 30 seconds - Analyzes service pages, case studies, blog posts - Generates hyper personalized icebreakers - Does 20 minutes of research per prospect automatically I've used this for SaaS companies, marketing agencies, consultants, and B2B service providers. And it costs $0 compared to hiring research assistants or buying expensive data tools. The system handles everything: → Deep prospect research across all website pages → Personalized email openers that get replies → Context that makes cold outreach feel warm → Scales to 100+ prospects per day ↳ My reply rate jumped from 1.2% to 8.3% using this. Want the system? 1. Follow me 2. Like this post 3. Click "SYSTEM" and get the free template from our website.

Look, I've been using Claude Code for a few months now and I just realized most people are doing it backwards. Everyone's just throwing vague prompts at it like "build me a login system" and then spending forever going back and forth fixing stuff. There's a better way. Write the damn spec first. I'm serious. Before you even open Claude Code, spend 20 minutes writing out what you actually need. Requirements, edge cases, how the API should work, what errors to handle. Just a markdown file. Nothing fancy. Then (and this is the part nobody talks about) you point Claude Code directly at that spec file. "Implement the auth service in auth-spec.md." That's it. What happens next is honestly kind of wild. It reads the whole thing, sometimes asks you questions if something's unclear, then just builds it. Multiple files, proper error handling, tests that actually make sense. Because it knows exactly what you want. No more asking - actually can you change this fifteen times. No more - I forgot to mention we need to handle OAuth too. The spec is right there. And here's the thing that sold me: your specs don't disappear into some Google Doc graveyard. They live with your code. When you need to refactor three months later, the spec is still there telling you what the hell you were thinking. Try it once. Write a proper spec, save it as a .md file in your project, and tell Claude Code to build from it. You'll get why everyone who does this won't shut up about it.