AI Assistant Vs. Human Virtual Assistants: Which One Is Better? A controversial yet interesting change that has happened in the virtual assistant industry is AI. And why not? AI is everywhere. Especially, AI assistants that existed beforehand but...Read the Blog. https://invedus.com/blog/ai-assistant-vs-human-virtual-assistants-which-one-is-better/ +1-888-346-8646 9169 W State St #2627 Garden City, ID 83714

AI-powered virtual assistants are transforming digital marketing by helping businesses work smarter and scale faster. Once limited to basic human-led tasks like email handling and data entry, today’s AI assistants can manage workflows, engage customers, and deliver actionable insights with speed and accuracy. As Clark Boyd notes, AI is only as powerful as how it’s used and for modern marketers, it has become an essential tool for breaking growth barriers and staying competitive in an increasingly data-driven landscape. Read more here : https://invedus.com/blog/how-ai-is-enhancing-the-role-of-virtual-assistants-in-digital-marketing

🚀 New Guide Alert for Developers & AI Builders! 🚀 If you’re building next-generation AI applications in 2025, you already know that great language models alone aren’t enough. What truly makes an AI system reliable and useful is its ability to connect with real data and external logic. That’s where OpenAI Function Calling comes in. 👉 I just published a deep, practical guide showing how to connect LLMs to live, production-ready APIs even free ones so your AI apps can fetch real data, validate inputs, and deliver structured results. 🔗 https://blog.apilayer.com/openai-function-calling-how-to-connect-llms-to-the-best-free-apis-2025/ In this post, you’ll learn: ⚡ What OpenAI Function Calling is and why it matters ⚡ How to define schemas that let LLMs trigger real API calls ⚡ How to handle results and build reliable systems ⚡ A curated list of the best free-tier APIs for 2025 from weather and news to currency, geolocation, and validation services ⚡ Real code examples you can use right away Whether you’re working on AI assistants, data apps, automation systems, or customer tools, this guide gives you the building blocks to make AI useful not just impressive. Check it out and let me know what you build next! 👇 🔗 https://blog.apilayer.com/openai-function-calling-how-to-connect-llms-to-the-best-free-apis-2025/ #AI #OpenAI #APIs #FunctionCalling #LLMs #SoftwareEngineering #AIDevelopment #DevCommunity #TechInnovation

📢 Unlock AI-Driven Access to Your REST APIs! 🔓🤖 AI assistants are transforming how we interact with data and services, but most REST APIs aren’t built for intelligent understanding. Traditional documentation just doesn’t cut it when an AI needs to reason about your API and make calls autonomously. That’s where Model Context Protocols (MCPs) step in. With MCPs, you can: ✨ Expose your API as AI-understandable tools ✨ Define clear input/output expectations ✨ Enable AI assistants to discover and invoke endpoints ✨ Improve automation and real-world task execution Whether you’re a developer, API provider, or tech leader, this approach helps bridge the gap between your API and modern AI systems. 📖 Dive into the full step-by-step guide here: 👉 https://blog.apilayer.com/step-by-step-guide-how-to-make-your-rest-apis-accessible-to-ai-assistants-using-mcps/?utm_source=chatgpt.com Let’s make APIs smarter and AI interactions more productive! 🚀 #API #AI #ArtificialIntelligence #Tech #RESTAPI #MachineLearning #Integration #DeveloperTools #Innovation #Productivity #SoftwareEngineering

A major shift in the virtual assistant industry is the rise of AI. While AI assistants have been around for years, their rapid improvement now raises the question: how do they compare to human VAs? Each has limitations, and many businesses now combine both. In this article, we’ll briefly explore what AI virtual assistants are, how they differ from human VAs, their costs, hiring tips, and which option may be better Read more here :https://shorturl.at/NRa1c