Rohini AI

AI Training is Tough, But Worth It When You Get It Right! 🤖🎯 Building AI feels like wrestling with chaos. → The model doesn’t behave. → Data inconsistencies wreck performance. → Hyperparameters play mind games with you. You tweak, test, fail—repeat 100x. Then one day… it works. 🔥 → The model understands. → Predictions are on point. → Everything clicks. That’s when all the frustration pays off—because AI isn’t just about training models, it’s about training patience.

FREE AI tool to enable GPT-4o, DeepSeek R1, Sonnet 3.5, Qwen to computer-use! 🚀 AI Agents Just Got Hands-on with Your Computer! Microsoft just dropped OmniParser V2—a free & open-source tool that turns any LLM into an agent that sees your screen, understands it, and takes action. 🔹 Works with GPT-4o, DeepSeek R1, Sonnet 3.5, Qwen 🔹 Converts UI screenshots into structured data in real-time 🔹 60% lower latency than its previous version 🔹 State-of-the-art accuracy (39.6%) on UI benchmarks 🔹 Paired with OmniTool, a pre-built Windows system for LLMs to interact with This means AI won't just chat—it will work like a real assistant, handling tasks directly on your screen. No API calls. No external servers. Full automation at your fingertips. The best part? - It's 100% FREE & open-source. Microsoft just leveled the playing field! How soon before we see AI agents managing entire workflows on their own? 👀 . .   New?   I'm Mohit Mrinal and I build AI agent ecosystems for SMBs to enhance their sales   .   Check the website for more details & follow me for a daily dose of AI 🚀 #AI #OmniParserV2 #Automation #OpenSource #Microsoft #AIAgents

Now, what's your next step? You've captured the leads, but are you prepared to nurture them effectively? As a business owner, you might think your challenge is generating leads. But what if the real issue is poor lead nurturing? After investing time and money to capture leads, many businesses experience: 📉 Leads ghosting you. 📉 Leads forgetting about you. 📉 Leads choosing your competitor. Attention is currency. If you're not nurturing your leads effectively, you're at risk of losing them forever. Here are three hidden costs of neglecting lead nurturing that could be silently killing your sales: 1. Skyrocketing Customer Acquisition Costs (CAC) 🔥 You're spending big on ads and outreach, but a weak follow-up strategy wastes that investment. Research from HubSpot shows that companies with strong lead nurturing generate 50% more sales-ready leads at 33% lower cost. By turning cold prospects into warm leads, you can significantly reduce your CAC. 2. Wasted Sales Time ⏳ Your sales team may be chasing unresponsive leads while hot prospects slip away. Consider this: 80% of sales require 5 follow-ups after the initial meeting, yet 44% of salespeople give up after just one (Source: MarketingDonut). A systematic follow-up strategy ensures your team works smarter, not harder. 3. Silent Reputation Decay 🤐 When leads go cold, they don’t just disappear—they talk. Prospects who feel neglected share their negative experiences, damaging your brand's reputation. Consistent, personalized engagement is key to building trust and maintaining a positive image in the market. How can you fix this? → Automate Personalized Follow-Ups: Use CRM tools to ensure no lead falls through the cracks. → Provide Value with Educational Content: Share insights that address pain points and position your brand as a thought leader. → Leverage AI-Driven Lead Nurturing: Automate your engagement processes to close more deals without increasing your ad spend. Many businesses mistakenly blame their team when, in reality, the follow-up process is broken. Fix that, and watch your sales flow! 🔥 Want a done-for-you AI lead nurturing system? Let’s chat! 🚀 . .   New?   I'm Mohit Mrinal and I build AI agent ecosystems for SMBs to enhance their sales   .   Check the website for more details & follow me for a daily dose of AI 🚀

"Insane" That was the reaction I got when I showed my AI avatar to others. And honestly, I’m not surprised. This solution solves everything when it comes to video production: no more lighting setups, studio rentals, endless retakes, or lengthy editing cycles. In 2025, reels dominate social media. Whether you’re a brand or an individual, your online presence hinges on video content. That’s why I decided to create a single automation solution to handle it all—effortlessly. And I want to share this creations so it can benefit everybody For me, the best part is this: you’ll always stay ahead. Spot a trending topic? No matter where you are or what time it is, your AI avatar can do all the talking with just one click. This automation is designed to: → Simplify your social media presence or even build an AI influencer for your brand. → Combine HeyGen’s natural face avatars, ElevenLabs’ voice synthesis, and JSON2Video’s editing power for seamless content creation. Here’s how it works: → Pulls your script directly from a Google Sheet. → Generates avatar videos using HeyGen's API. → Edits the video instantly with JSON2Video’s Movie template. Publishes your content simultaneously to LinkedIn, Twitter, Instagram, Facebook, and YouTube. PS: Martin Parkos is already using this automation. Check out his profile to see the incredible results for yourself. I’m sharing this FOR FREE with everyone who reposts ♻️

What I Learned About LinkedIn Growth (And What Actually Works) When I started posting consistently in September, I had 1,100 followers and no grand expectations. My goal wasn’t to “grow” my presence—I simply wanted to share insights from my work in automation. My niche is technical, fast-evolving, and not exactly suited for generic advice. So, like many, I experimented with different formats: → Carousels → Tutorials → Memes → Top 10 lists → Personal stories → Videos Some posts resonated. Most didn’t. Now, with over 1M+ impressions, 1,900+ new followers, 200+ weekly search hits, and 100+ posts later, I’ve learned a few things about what actually works on LinkedIn. What Actually Works on LinkedIn? 1. Format matters, but psychology wins. Initially, I thought carousels and videos performed well because LinkedIn’s algorithm favors them. → While that’s partially true, I realized the real driver is tension and curiosity. Hooks like “Don’t make this mistake…” or “Why this common strategy fails” grab attention and drive engagement. 2. It’s not just about views—it’s about rewatches and engagement. Some of my highest-performing posts weren’t the ones with the most views—they were the ones people paused, rewatched, or commented on. Personal stories and relatable struggles consistently resonated more than generic advice. 3. Conversations matter more than virality. I had posts that went viral but led to almost no meaningful connections. → Viral posts don’t always convert. The best posts spark discussions, not just impressions.   4. Consistency matters less than feedback loops. For the first month, I posted daily but saw little growth. → Posting frequently without analyzing what works is inefficient. Real growth comes from doubling down on what works and refining what doesn’t. What Actually Worked for Me? → Catchy videos performed the best. → Tutorials did okay, but only when the hook was strong. → Text-based posts worked when they sparked debates or discussions. The hardest lesson I’ve learned is that what works for others won’t always work for you. Posting more frequently doesn’t necessarily lead to better reach. While impressive numbers can be appealing, true success is measured by meaningful engagement. Now, I’m curious—what’s a LinkedIn hack that has worked for you? Let’s discuss . . New? I'm Mohit Mrinal and I build AI agent ecosystems for SMBs to enhance their sales . Check the website for more details & follow me for a daily dose of AI 🚀

Posting this on LinkedIn feels ironic, but hey, it’s not the only platform that matters. I just learned a hard lesson: I was dead wrong about YouTube. I didn’t post for a whole month because I was knee-deep in building automation. I thought, “The algorithm’s going to forget me. I’ll have to grind to get back in.” I hastily completed my video edits and quickly assembled mediocre thumbnails. But guess what? My videos still blew up. Why? Because real value wins every time. Here’s what my last two videos are about and why they’re performing better than others: → How to scrape LinkedIn profiles and build the perfect profile using data. → How to create an AI clone of yourself to save hours on video production. Turns out, YouTube’s algorithm loves this stuff. Here’s what I changed: 1. I stopped skimming the surface. Instead of vague overviews, I built an AI agent from scratch step-by-step and showed exactly how to integrate tools like OpenAI and Apify. 2. I stopped guessing what businesses want. I focused on what people actually need. Oh, and I rebranded from Rohini AI to Mohit Mrinal AI—because people connect with people, not faceless brands. If you’re not subscribed yet, hop on board! Your support helps me keep making these videos. Link’s in the comments. New here? I’m Mohit Mrinal. I help SMBs scale personalized lead engagement using AI agents to crush their sales goals.

I might get some heat for this, but let’s talk about it. AI automation and AI agents are everywhere. Everyone’s hyping them up. But here’s the real issue—most businesses are overthinking their AI choices. The question isn’t “Which one is better?” The real question is “Which one actually works for YOU?” Your business doesn’t need the flashiest AI tool. It needs the right AI to solve real problems and make real money. That’s where most people get it wrong. Hype ≠ efficiency. Let’s break it down. AI Automation vs. AI Agents – What’s the Difference? AI Automations: ✅ Rule-based, simple workflows ✅ Fixed processes, no decision-making ✅ Great for repetitive, predictable tasks ✅ Example: CRM updates, auto-email responses Think of automations like conveyor belts—they do the same task, the same way, every time. AI Agents: 🤖 More dynamic and adaptive 🤖 Can analyze data and make decisions 🤖 Ideal for complex, evolving processes 🤖 Example: AI chatbots that understand intent and respond uniquely Think of agents like human operators—they adapt, learn, and make informed decisions based on context. Which One Does Your Business Need? If your work involves repetitive, structured tasks → Automations are your best bet. If your processes require intelligence, adaptability, and decision-making → AI Agents make more sense. Most businesses need a mix of both—but getting that mix right is key. If you’re unsure which one fits your business best, let’s connect. I’m working on a resource to simplify this decision, and I’d love your thoughts. Drop a comment or DM me if you want clarity on what works for you. . .   New?   I'm Mohit Mrinal and I build AI agent ecosystems for SMBs to enhance their sales   .   Check the website for more details & follow me for a daily dose of AI 🚀

How Ranveer Allahbadia & Samay Raina Got It Wrong—And What Other Big Creators Should Learn From It If you’ve been online recently, you’ve probably seen the backlash against the popular YouTube show India’s Got Talent, which garners over 18M views per episode. A controversial segment drew massive criticism for obscene language and derogatory comments about women, seemingly for shock value. Big content creators like Ranveer Allahbadia (BeerBiceps) and Samay Raina have also faced backlash for controversial content, insensitive remarks, or problematic guests on their platforms. Let me be clear: I do not endorse the actions or comments made by these creators or shows. Many of them were insensitive, unethical, and harmful. But this incident isn’t just about one show or a few individuals—it’s a wake-up call for content creators everywhere. The Result? ↳ Public outrage ↳ Brand reputation damage ↳ Potential advertiser pullouts And here’s the key takeaway: This was entirely avoidable. In today’s media landscape, a single misstep can spiral into a reputational crisis overnight. However, production houses and content creators can prevent this with a structured approach—before the damage is done. Three AI-Driven Steps to Avoid PR Disasters 1. AI-Powered Sentiment Analysis ↳ AI can track audience sentiment and predict how content will be received before it goes live. It helps flag high-risk themes, identify controversial narratives, and prevent potential backlash in advance. 2. Live Transcription & Real-Time Monitoring ↳ AI-driven transcription tools capture every word spoken during filming and analyze it in real-time. This allows production teams and creators to receive instant alerts if offensive language or insensitive remarks appear, ensuring they can be edited out before airing. 3. AI-Driven Content Grading A color-coded risk system can categorize content: ↳ Green – Safe, high-engagement content for promotions. ↳ Amber – Neutral, requiring review. ↳ Red – High-risk content that could trigger backlash and needs immediate editing. Why This Matters Entertainment shapes culture. If creators don’t take responsibility, they also risk reinforcing harmful norms in society. AI can also be used as a tool for accountability. Production houses and independent creators like Ranveer Allahbadia, Samay Raina, and others need structured content review systems to create a more responsible media ecosystem. Would AI-driven content moderation make media more accountable? Let’s discuss. . . New? I'm Mohit Mrinal and I assist SMBs in enhancing their sales by scaling personalized lead engagement with AI agents . Check the website for more details & follow me for a daily dose of AI 🚀

AI Sales Agent Required – $5K/Year This hiring post will be the future of 2025. Most companies now care more about how fast they can close deals—not who is doing it. AI sales agents respond instantly—no human SDR can compete. ✅ No missed follow-ups ✅ No lost leads ✅ No distractions AI engages 3x { why 3x only } more prospects daily—without fatigue or inconsistency. That’s why AI-driven sales teams are already closing 30% more deals than human-led teams (HubSpot study). Why Companies Are Moving to AI Sales Teams 🔹 1. Sales Teams Are Losing Deals Because They’re Too Slow B2B buyers complete 70% of their journey before talking to a rep. By the time your SDR reaches out, the deal might already be gone. { ye dono lines related nhi h, 70% journey as in research } ✅ AI engages leads 6x faster than humans. ✅ AI follows up without delays, rescheduling, or ghosting. ✅ AI nudges cold leads at the right time—so they don’t fall through. If speed wins deals, AI is already ahead. 🔹 2. The Cost of Human Sales Teams Is Unsustainable Hiring an SDR? $50K+ per year (salary + commission). AI sales agent? $5K per year. A 90% cost reduction—and AI never quits, takes vacations, or loses motivation. McKinsey found that companies using AI in outbound sales reduce customer acquisition costs by 60%. If AI can generate equal or better revenue at 1/10th the cost, what do you think businesses will choose? 🔹 3. AI Removes the Guesswork from Sales Execution Sales leaders still rely on: ❌ Reps manually logging data ❌ SDRs remembering follow-ups ❌ Hoping pipeline coverage is accurate AI eliminates the guesswork: ✅ Knows which leads are most engaged ✅ Predicts who is most likely to buy ✅ Auto-generates hyper-personalized outreach at scale It turns sales from an art into a science. But here’s the real problem—Trust. People don’t trust AI enough yet. The fear is real—businesses worry if AI can truly replace the human touch in sales. But trust isn’t built overnight. With the right strategy, AI can complement—not replace—human sales. Where do you stand? Is AI the next big leap, or is the fear justified? Drop your thoughts below. . . New? I'm Mohit Mrinal and I assist SMBs in enhancing their sales by scaling personalized lead engagement with AI agents . Check the website for more details & follow me for a daily dose of AI 🚀

90% of Business Delays Come from This One Issue Most companies don’t struggle with productivity—they struggle with waiting. Every day, teams waste hours manually checking for updates—refreshing dashboards, tracking orders, and monitoring CRMs. This slows down sales, customer service, and operations. What’s the Fix? Instead of constantly checking, your system should listen and react instantly. That’s where webhooks in n8n come in—like a digital doorbell, they notify your system the moment something happens, triggering automation sequences in real-time. How Webhooks Fix This: ↳ Lead Capture → New Typeform leads instantly sync to the CRM, so sales teams can follow up immediately. ↳ Order Processing → Shopify orders update Google Sheets in real-time—no refreshing needed. ↳ Data Syncing → Changes in Notion or Airtable instantly update across systems. ↳ Support Alerts → New support tickets trigger instant Slack notifications for faster response. ↳ AI Automation → Chatbots and workflows activate automatically based on external triggers. Why Webhooks in n8n Solve This at Scale: ✅ Instant Automation – No more waiting; your system reacts the moment something happens. ✅ Customizable – Secure and modify webhooks with authentication, parameters, and endpoint naming. ✅ Seamless Integration – Works across all apps, APIs, and business systems, ensuring smooth operations. Here’s a Checklist from Me Before You Deploy: ☑ Set Up the Endpoint URL – Name it clearly so you know what it's for. ☑ Secure Your Webhook – Use API keys, basic authentication, or custom headers. ☑ Check Data Format – Ensure incoming data (JSON, form-data, etc.) is compatible. ☑ Configure CORS – Required if your webhook is accessed from different domains. ☑ Define Response Handling – Set up how your system responds (200 OK, custom responses). ☑ Test It First – Always use Postman or RequestBin before going live. Always test your webhook with Postman or RequestBin before deploying—it saves you from unexpected failures. Drop your use case in the comments—I’d love to see how you’re making automation work for you! . . New? I'm Mohit Mrinal and I assist SMBs in enhancing their sales by scaling personalized lead engagement with AI agents . Check the website for more details & follow me for a daily dose of AI 🚀