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Generative AI

Home » Generative AI

What Google Stitch Actually Does (And Where It Falls Short)

2026-04-02T16:29:20+00:00

If you've tried Lovable, v0, or Bolt.new, you already know the pattern: describe what you want, get a working app back. Now there's a new tool in that same space — Google Stitch. Google Stitch is different. It's an AI tool built specifically for UI design, not app generation. It focuses on what your product looks like, how the screens connect, and how users move through them. It also exports to Figma with the layer structure intact, which is the part I actually care about. I do a lot of Figma work, and there are times when I sit down [...]

What Google Stitch Actually Does (And Where It Falls Short)2026-04-02T16:29:20+00:00

From Headshots to Hackathon-Ready: How AI Saved My Design in 2 Minutes

2026-03-26T20:33:03+00:00

You only have four hours left to create an eye-catching social media post introducing the judges of your upcoming hackathon and all you have are inconsistent headshot images. This is not just another graphic. You are designing a visual that represents respected professionals–people whose credibility reflects directly on your event. But working with mismatched headshots (different angles, lighting, crops, and backgrounds) makes it nearly impossible to achieve a cohesive design. And it’s already 1 AM. Reaching out to them for new photos isn’t an option. So what do you do? When Time, Quality, and Expectations Collide If you’ve worked in event marketing [...]

From Headshots to Hackathon-Ready: How AI Saved My Design in 2 Minutes2026-03-26T20:33:03+00:00

Why I Chose DigitalOcean Over AWS for OpenClaw

2026-03-02T10:34:54+00:00

Why I chose DigitalOcean over AWS for OpenClaw comes down to one thing: matching infrastructure complexity to project stage. When building AI infrastructure in 2026, the default answer seems obvious: use Amazon Web Services (AWS). After all, it dominates the cloud market: It powers startups, governments, enterprises, and hundreds of other services. So when I started building a simple OpenClaw project, AWS seemed like the natural choice.  But I didn’t choose AWS. I chose DigitalOcean instead. Here’s why. What Is OpenClaw? Before explaining the infrastructure decision, it’s important to understand what I was deploying. OpenClaw (formerly known as Clawdbot or [...]

Why I Chose DigitalOcean Over AWS for OpenClaw2026-03-02T10:34:54+00:00

Claude Code: The Web Design Workflow That Actually Works

2026-02-25T15:53:18+00:00

I’ve tried no-code builders like Bolt.new, Lovable, and v0. They’re all good, and they all share the same problem: spend enough time with them, and you start recognizing the output. Same card layouts, same hero sections, same vibe that says “an AI made this.” Claude Code is the first tool that actually broke that pattern for me, partly because of how it’s built and partly because of where it lives. It doesn’t pull you into its own environment. It just shows up in your IDE and works with what you already have. That alone made me want to document how [...]

Claude Code: The Web Design Workflow That Actually Works2026-02-25T15:53:18+00:00

Don’t Install OpenClaw! (Unless You Read This First)

2026-02-23T11:27:42+00:00

If you have been on Twitter, TikTok, or GitHub recently, you have probably seen the hype. Clawdbot (now rebranded as OpenClaw) promises something bold: a self-hosted AI employee that runs on your Mac Mini, has terminal access, and takes instructions through messaging platforms like Telegram. It sounds powerful. It is powerful. However, you should not install it blindly. Before you run npm install -g openclaw, you need to understand what you are actually deploying. By default, OpenClaw operates with deep system-level access. In other words, installing it without safeguards is the cybersecurity equivalent of handing a stranger your unlocked laptop [...]

Don’t Install OpenClaw! (Unless You Read This First)2026-02-23T11:27:42+00:00

I Finally Made One of Those Weird AI Videos. It Took 10 Minutes.

2026-03-30T03:17:51+00:00

You've seen them. Those weird AI videos where someone is cutting colorful glass cubes and the pieces fall in the most satisfying way possible. Or dark chocolate is telling white chocolate that he's not even real cocoa. Next thing you know, you've watched it five times and your friend is asking why you sent them a video of crying chocolate at 2am. These videos are everywhere right now, and they're surprisingly easy to make. The workflow is simple: use Claude to write your script, then use Kling AI to turn it into an animated video. That's basically it! This guide [...]

I Finally Made One of Those Weird AI Videos. It Took 10 Minutes.2026-03-30T03:17:51+00:00

Balancing AI and Personal Learning

2026-01-30T13:13:22+00:00

Why Balancing AI and Learning Matters Now For many, AI feels nothing short of magical. You give it a question, and within seconds it produces an answer. The once-familiar process of searching through multiple sources on Google and piercing them together into digestible information is long gone, replaced by instant AI-generated solutions. While this convenience has made learning more accessible, it has also made it easier to avoid the learning process itself. People are now faced with a subtle choice: to struggle through a problem or let AI do the work. As human nature often dictates, many take the easy [...]

Balancing AI and Personal Learning2026-01-30T13:13:22+00:00

Amazon Nova: Engineering the Future of Agentic AI

2026-02-03T13:45:47+00:00

The generative AI (GenAI) revolution has fundamentally changed how organizations extract value from data. Large language models (LLMs) excel at understanding and generating human-like text, but their true enterprise value emerges only when they can access proprietary data and take real-world action. While vector databases and retrieval-augmented generation (RAG) gave LLMs memory, Amazon Nova provides execution and specialization. In this article, we break down the Amazon Nova model family, with a deep focus on Nova Act and Nova Forge, and explain how they enable a shift from passive chatbots to autonomous, enterprise-grade AI agents. What Is the Amazon Nova Model [...]

Amazon Nova: Engineering the Future of Agentic AI2026-02-03T13:45:47+00:00

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs

2026-01-27T18:52:57+00:00

Large language models (LLMs) are transforming tech, but they also bring new security headaches. The OWASP Top 10 for LLMs highlights the biggest AI risks we should know about. In this guide, we explain each risk in simple terms, give everyday examples, and share quick safety tips. Whether you’re a developer or a casual tech user, this walkthrough will help you understand and avoid the most common AI pitfalls. Prompt Injection What it is: Prompt Injection happens when someone sneaks special instructions into an AI’s input so the model does something unintended. In other words, a user’s query tricks the AI [...]

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs2026-01-27T18:52:57+00:00

The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)

2026-01-23T16:49:14+00:00

For years, Search Engine Optimization (SEO) defined how digital content succeeded online. Keywords, backlinks, and domain authority shaped rankings and traffic. But as we move deeper into 2026, the search landscape has fundamentally changed. With the rise of Large Language Models (LLMs), AI-powered search experiences, and zero-click results, traditional SEO alone is no longer enough. Today, success is less about ranking for clicks and more about being cited as a trusted source. This shift marks the arrival of Generative Engine Optimization (GEO) which is a strategy focused on visibility, authority, and AI-driven discovery. What Is Generative Engine Optimization (GEO)? Generative [...]

The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)2026-01-23T16:49:14+00:00

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