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Agentic

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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

Voice AI Hackathon Manila 2026

2026-03-26T18:42:28+00:00

You’ve become an Agora Ambassador–what comes next? In frame: Ashley Nicole Santos, Kendrick Zamudio, Christine May Ponciano, and Dearah Mae Barsolasco You build something impactful. You host a hackathon. Together with AWS Cloud Club Philippines, the Agora Philippines Ambassadors successfully launched the Voice AI Hackathon Manila 2026, a high-energy, one-day innovation sprint held on March 16, 2026, at the AWS Office in Bonifacio Global City. The event gathered 27 competitive teams composed of developers, students, and professionals, all focused on building voice-AI-powered applications using cutting-edge AI tools. Participants leveraged Agora’s conversational AI capabilities alongside TRAE (The Real AI [...]

Voice AI Hackathon Manila 20262026-03-26T18:42:28+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

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

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

SEO is Evolving: A Marketer’s Guide to GEO (Generative Engine Optimization) in 2026

2026-02-10T08:20:22+00:00

The "Blue Link" era is officially fading. In 2026, the digital landscape has reached a tipping point: Gartner predicts a 25% drop in traditional search volume as users migrate to AI-driven "answer engines." For modern brands, ranking #1 on a search results page is no longer the finish line. The new goal? To be the cited source inside the AI's answer. This shift has birthed a new discipline: Generative Engine Optimization (GEO). SEO vs. GEO: Understanding the Paradigm Shift Traditional SEO was built on the logic of crawlers, keywords, and the pursuit of clicks. GEO, however, is built on the [...]

SEO is Evolving: A Marketer’s Guide to GEO (Generative Engine Optimization) in 20262026-02-10T08:20:22+00:00

Beyond the Prompt: Mastering Agentic Workflows and “Vibe Coding” in 2026

2026-02-10T08:21:50+00:00

For the past few years, the multimedia industry has been obsessed with "Generative AI." We spent 2023 and 2024 learning how to write the perfect prompt to get a static image or a flickering 10-second video. But as we move through 2026, the industry has undergone a fundamental shift. We are moving past the era of the chatbot and into the era of Agentic Marketing. Instead of sitting in front of a prompt box asking for a single blog post, modern marketers are now deploying AI Agents—autonomous digital teammates that can research, plan, create, and optimize entire campaigns with minimal [...]

Beyond the Prompt: Mastering Agentic Workflows and “Vibe Coding” in 20262026-02-10T08:21:50+00:00

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers

2025-12-21T16:15:25+00:00

Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an AWS-native system designed around identity, permissions, and retrieval, it becomes much easier to understand. And much more useful. I've spent a lot of time working with Amazon Q while creating video content for Tutorials Dojo courses, and most of what I'll share here comes from that hands-on experience. My goal is [...]

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers2025-12-21T16:15:25+00:00

AWS Vector Databases Explained: Semantic Search and RAG Systems

2025-12-21T03:02:32+00:00

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is a type of database designed to store, index, and efficiently search vector embeddings. These vectors are high-dimensional points that represent meaning.  At its core, a vector [...]

AWS Vector Databases Explained: Semantic Search and RAG Systems2025-12-21T03:02:32+00:00

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