What's the AI Agent Loop? Before you scale AI agents in your business, you must understand their fundamental operating logic. Every AI agent, from a simple chatbot to a complex workflow automator, follows the same core three-step cycle. This loop dictates how they interpret information and execute tasks. In the video, I explain this critical three-step cycle. I also show how it creates a continuous feedback loop that makes agents intelligent. Understanding this framework is essential for deploying AI strategically. Where do you see the biggest potential for failure when an agent performs a task for your team?
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95% of AI projects fail, not because AI can’t deliver, but because businesses tackle the wrong problems, build from scratch, and skip ROI measurables. The 5% that win? They solve one clear pain point, fit AI into existing workflows, and measure real value. What’s the one task at your business you’d automate first?
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Ever wondered why some AI tools transform businesses while others just frustrate people? The difference often comes down to process. If your business processes aren’t solid, no amount of AI or automation will fix the cracks. But when you have a clear, well-designed process and then integrate AI into it, that’s when it starts working for you instead of against you. The truth is, AI is one of the most powerful ways to grow right now, but it only works as well as the foundation you build beneath it.
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Business Force One nails it on why process comes before AI. Check out their post for a smart take on making tech work for your business.
Ever wondered why some AI tools transform businesses while others just frustrate people? The difference often comes down to process. If your business processes aren’t solid, no amount of AI or automation will fix the cracks. But when you have a clear, well-designed process and then integrate AI into it, that’s when it starts working for you instead of against you. The truth is, AI is one of the most powerful ways to grow right now, but it only works as well as the foundation you build beneath it.
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AI is powerful, but are we using it the right way? Pega's founder and CEO, Alan Trefler, had a no-holds-barred chat with Computerworld's Today in Tech. He dives into the common pitfalls enterprises face with generative AI and spills the secret sauce on deploying AI you can actually *trust*. Predictable, reliable AI agents that deliver results? Yes, it's possible. And it’s all about getting the approach right. Curious to know more? Check out the full conversation here https://lnkd.in/eY2A-NN3 Let’s talk about how we can build smarter, more dependable AI solutions together!
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In this episode of The AI Breakdown, I unpack the difference between traditional automation (think: rule-based, repeatable tasks) and AI automation (think: tasks that involve judgement, language, or fuzzy logic). I dive into real-world examples from HR, customer service, and finance, and share practical ways to get started. 🎧 Listen here: https://lnkd.in/eiimgMFz #AI #Automation #AIinBusiness #TheAIBreakdown #DigitalTransformation #ProductivityTools
When to Use AI Automation and When to Keep It Simple
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Unlock the potential of AI with tailored template agents that meet your specific needs. Whether you're beginning with small steps or looking to expand, finding the right AI agent can streamline your operations and improve efficiency. Immerse yourself in the realm of AI and see how these agents can revolutionize your business processes. Integrating AI doesn't have to be complicated. With user-friendly templates, you can effortlessly incorporate AI into your operations. Uncover the advantages of AI agents and take your first step towards a more intelligent and efficient future.
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AI is everywhere, but not every AI model delivers the same value. 🤖 This article explains the difference between today's AI agents and the emerging class of agentic AI that can independently plan and execute outcomes. If your team is exploring automation, check out this piece:
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AI is everywhere, but not every AI model delivers the same value. 🤖 This article explains the difference between today's AI agents and the emerging class of agentic AI that can independently plan and execute outcomes. If your team is exploring automation, check out this piece:
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AI is everywhere, but not every AI model delivers the same value. 🤖 This article explains the difference between today's AI agents and the emerging class of agentic AI that can independently plan and execute outcomes. If your team is exploring automation, check out this piece:
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Most PMs think AI integration means "add a chatbot." The reality: it's about orchestrating multiple API calls, setting temperature parameters, and choosing between reasoning vs non-reasoning models. One feature often requires 3-4 different API calls - each with cost implications and technical trade-offs. At Unlearn, our members learn to make these technical decisions, not just write PRDs about "AI features." #AIProductManagement #ProductManagement #TechnicalPM #UnlearnProduct
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Digital Forensics || Protecting lives, livelihood & legacies.
1wThank you for sharing!