No Fluff AI Stuff
A new study shows large language models (LLMs) can raise prices in simulated markets—even when instructed not to collude. This highlights challenges in regulating AI-driven businesses, as implicit behaviors emerge that humans didn’t plan for. Can we trust AI to play fair?
No Fluff AI Stuff
Claude, is transforming AI with the Model Context Protocol (MCP), enabling it to “use tools” like Google Maps. Developers can integrate apps with ease, and no-code solutions are on the way. This marks AI’s shift from conversation to action, unlocking new possibilities for productivity.
Zero to Validation
Charging early validates value. In this edition of Zero to Validation, learn why asking for payment from the start helps prove demand and shapes your product. Discover mindset shifts and action steps to test pricing, engage early customers, and build a business people are eager to pay for.
Zero to Validation
Why risk building before knowing it’ll sell? In this edition of Zero to Validation, learn why early adopters buy promises, not products, and how to validate your idea fast. Discover mindset shifts and practical steps to test demand and refine your pitch—saving time and money.
Imagine typing your ideas in plain English and watching AI turn them into working software. Sounds like science fiction, right? But it's happening now. We're on the edge of a new era where you don't need coding skills or a computer science degree to
Chatbots have emerged as one of the most common interfaces. They’re everywhere—from customer service platforms to virtual assistants. At first glance, they seem like the perfect tool, bridging the gap between complex AI systems and everyday users. But, if we dig a little deeper, some significant flaws emerge
Apple recently dropped its latest fall lineup, and while most people are buzzing about AI, I want to talk about something just as important—if not more so. Health tech. Yes, AI is a massive part of Apple’s strategy, but health tech is where they’re truly pushing boundaries.
When you buy a car, you think about what’s under the hood. Some care about horsepower, while others focus on fuel efficiency. Similarly, when building applications—especially AI-driven ones—what’s under the hood matters. Instead of an engine, you’ve got large language models (LLMs). These are the
In the ever-changing landscape of technology, one of the most significant challenges we face today is keeping up with the rapid advancements in Artificial Intelligence (AI). It's easy to feel overwhelmed by the constant influx of new tools, features, and capabilities that seem to emerge daily. Many of
Product management is full of decisions. Some are straightforward, while others can be complex, but all of them boil down to one essential question: Is this the right bet to make right now? As product managers, our job is to ensure that every decision we make aligns with the strategic
Artificial Intelligence (AI) has been making waves across various industries, and the world of software engineering is no exception. But the real question is: how are engineers actually using these AI-driven tools, particularly large language models (LLMs), in their day-to-day coding tasks? The answer might surprise you, especially if you’
Creating a tech-powered product strategy requires understanding customer needs at a fundamental level. In this article, we’ll explore how you can strategically position your product to compete with a giant like Microsoft Word. Specifically one of their dominant products: Microsoft Word. Microsoft has a market cap of around a