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How to Use Gemini Canvas in 2 Minutes
In this video, I show you how to use Gemini's Canvas tool to transform your chats into web pages, quizzes, infographics, and more. Canvas is one of Gemini's best tools and if you're going to be using Gemini in 2026, this is the first tool you should master! Enjoy the video :)
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🔍 Trust Is a System, Not a Feeling
We often talk about trust in AI as if it is an emotion we either have or do not have. But trust does not scale through feelings. Trust scales through systems, the visible structures that tell us what happened, why it happened, and what we can do when something goes wrong. ------------- Context: Why “Just Be More Careful” Is Failing ------------- As synthetic content becomes more common, many people respond with a familiar instruction: be more careful, double-check, trust your gut. That advice sounds reasonable, but it quietly shifts the entire burden of trust onto individuals. In practice, individuals are already overloaded. We are navigating faster communication, more channels, more content, and more urgent expectations. Adding constant verification as a personal responsibility does not create safety. It creates fatigue, suspicion, and inconsistent outcomes. The deeper issue is that the internet and our workplaces were built for a world where content carried implicit signals of authenticity. A photo implied a camera. A recording implied a person speaking. A screenshot implied a real interface. We are now in a world where those signals can be manufactured cheaply and convincingly. So the question becomes less about whether people can detect fakes, and more about whether our systems can support trust in the first place. When trust is treated as a personal talent, it becomes fragile. When trust is treated as an operational design problem, it becomes durable. ------------- Insight 1: Detection Is a Game We Cannot Win at Scale ------------- It is tempting to make trust a contest. Spot the fake. Find the glitch. Notice the strange shadow. Compare the audio cadence. This mindset feels empowering because it suggests that skill equals safety. But detection is inherently reactive. It assumes the content is already in circulation and now we need to catch what is wrong with it. As generation quality improves, the tells become fewer, subtler, and more context-dependent. Even if some people become excellent at detection, the average person will not have the time, tools, or attention to keep up.
🔍 Trust Is a System, Not a Feeling
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Ready isn't a feeling. It's a decision.
Over the years, I’ve noticed a pattern. Most people don’t get stuck because they don’t know what to do. A lot of times, they’re stuck because they do know what to do, they’re just waiting to feel ready before they move. They’re waiting for more confidence, or more energy, or more clarity, or for someone to tell them they’re on the right track. And honestly, that makes sense. It feels responsible. It feels smart. But what I’ve seen over and over is that action is what creates those things. Confidence doesn’t show up first. Clarity doesn’t magically appear. You move… and then those things start to follow. Fear doesn’t disappear. Doubt doesn’t go away. You’re still tired. You still wonder if it’s going to work. That part is normal. It doesn’t mean you’re doing it wrong. It usually means you’re right on the edge of something bigger. The people who end up creating extraordinary lives aren’t immune to that feeling. They don’t have some secret advantage. They just don’t let that discomfort be the thing that decides for them. They do it anyway. So if you’re feeling a little stuck right now, maybe the question isn’t “How do I feel more ready?” Maybe it’s “What’s one small step I could take today… even if I don’t feel ready yet?” And if you are feeling brave, drop it below so this community can hold you accountable.
What Most People Don’t See Behind a “Simple” Automation
A lot of automations look simple on the surface. A form is submitted. Data shows up somewhere else. Done. But behind the scenes, there’s a lot more happening. I spend most of my time building workflows in Make and n8n that sit between frontend tools and backend systems. Forms from Webflow, WordPress, React apps, or custom setups flow into CRMs, databases, and internal tools through APIs and webhooks. The real work is in the logic. Validating incoming data. Handling failed webhooks. Retrying safely without creating duplicates. Making sure one bad request doesn’t break the whole flow. More recently, I’ve been embedding AI into these systems. Using OpenAI and LLM based agents to process inputs, make decisions, and push clean structured data into the right systems automatically. A good automation isn’t just about connecting apps. It’s about reliability, performance, and clarity. If something breaks, it should be obvious why. If someone else takes over, they should understand how it works. That’s the part most people never see, but it’s what makes the difference long term.
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