🚀 We’ve automated our blog writing process – and I’m excited to share how we did it! At Brainy Boss, we use AI and automation to make our work easier and faster. Our new Blog Automation Workflow is making a huge difference. Here’s how it works- ▶️ We input what we want to write – by pulling the latest tasks from N8N (we use Notion for almost everything). ▶️ It creates a new blog post that’s SEO-friendly and matches our usual tone and style. ▶️ The AI also creates the title, URL for the post. It directly post in Elementor format in wordpress. Once we review it, we just click [✓] to approve and it gets published! The best part? The AI is doing 99% of the work 🙌 What about you? 🔹 Have you tried using AI to help with your content? 🔹 What tools or processes are you using to make your work easier Let me know in the comments with “READY” – or DM me if you want to know more about how we set this up 💬 https://youtu.be/VgKzJPUX6y0 #BlogAutomation #AI #ContentCreation #Automation #Marketing #TechInnovation

Building AI in-house sounds great - until you realise the cost, time and expertise required to do it right. 𝗧𝗼𝗼 𝗺𝗮𝗻𝘆 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝘁𝗿𝘆 𝘁𝗼 𝗗𝗜𝗬 𝗔𝗜 𝗮𝗻𝗱 𝗲𝗻𝗱 𝘂𝗽 𝘄𝗶𝘁𝗵: ❌ Bloated budgets ❌ Missed deadlines ❌ Models that don’t actually work The truth? The smartest companies outsource their AI development to professionals who live and breathe AI automation. Here’s why: 🔹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗢𝗻 𝗗𝗲𝗺𝗮𝗻𝗱 AI evolves daily. Hiring a specialised team means you get cutting-edge knowledge without hiring a full-time research lab. 🔹 𝗙𝗮𝘀𝘁𝗲𝗿 𝗚𝗼-𝗧𝗼-𝗠𝗮𝗿𝗸𝗲𝘁 In-house AI projects drag on for months. Professionals build, test and deploy faster because they’ve done it before. 🔹 𝗖𝗼𝘀𝘁-𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 Why spend €€€ hiring and training a team when you can pay only for what you need? Outsourcing lets you scale AI without overhead. 🔹 𝗔𝘃𝗼𝗶𝗱𝗶𝗻𝗴 𝗖𝗼𝘀𝘁𝗹𝘆 𝗠𝗶𝘀𝘁𝗮𝗸𝗲𝘀 AI bias, bad training data, security risks - mistakes in AI aren’t just expensive, they can ruin reputations. An experienced team ensures compliance and reliability. 𝗔𝗜 𝗶𝘀 𝗮 𝗴𝗮𝗺𝗲-𝗰𝗵𝗮𝗻𝗴𝗲𝗿 - 𝗯𝘂𝘁 𝗼𝗻𝗹𝘆 𝗶𝗳 𝘆𝗼𝘂 𝗱𝗼 𝗶𝘁 𝗿𝗶𝗴𝗵𝘁. Thinking about outsourcing AI tasks? Drop a comment below! 👇 For more serious AI strategies, follow me. 🔔

In a major move, the #OpenAI board of directors has turned down a $97.4 billion bid from a group of investors led by none other than #ElonMusk. This decision reflects OpenAI's commitment to its vision of AI development and its focus on ensuring the technology benefits everyone. With big names like Musk involved, the stakes have never been higher. 🚀

Exciting news 🫵🛑🧑‍💻 The latest update to #OpenAI #DeepSeek is here, and it brings powerful new features that make searching through data even more efficient. ✨With enhanced algorithms and better natural language processing, you can now uncover insights faster and more accurately than ever before. Whether you're analyzing large datasets or looking for specific information, this update has got you covered. 🧐 What's New? ✔️More accurate search results🟣 ✔️ Faster processing, even for massive datasets🟣 ✔️ Improved understanding of context with better NLP technology🟣 This update is a game-changer for anyone looking to make smarter, data-driven decisions. ❇️ COMMENT "EXCITING" IF YOU FIND THIS INTERESTING ❇️

🚀 I’m currently working on developing an AI Agent for the real estate industry. Use Case - The idea is to create a voice-interactive AI assistant that engages with clients visiting your portal, understands their requirements through natural conversations, and showcases relevant property options tailored to their needs. This AI Agent aims to bridge the gap between human-like interactions and seamless property browsing, enhancing the client experience while reducing dependency on manual assistance. Tools - I am working with VAPI, Deepgram and LiveKit. 💡 Have you worked on something similar? I’d love to hear your insights or experiences in this domain. Whether it’s technical challenges, best practices, or innovative features, your input would be invaluable as I am developing this solution.