Tech Blogs - Tutorials Dojo

The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)
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 [...]
The Death of the Sample: How Virtual UGC is Transforming Multimedia Marketing
In the fast-paced world of digital marketing, User-Generated Content (UGC) has long been the gold standard for trust. Seeing a real person hold a product, test a texture, or share an unscripted testimonial triggers a psychological "social proof" that high-production studio ads simply cannot replicate. However, traditional UGC has [...]
GitHub Models
GitHub Models Cheat Sheet GitHub Models is a comprehensive suite of developer tools designed to lower the barrier to enterprise-grade AI adoption. It embeds AI development directly into familiar GitHub workflows, helping developers move beyond isolated experimentation. The platform provides tools to test large language models (LLMs), refine prompts, [...]
Agent Skills: On-the-fly capabilities for your AI Agents
Agent Skills are the new boom. If you’ve been following the agentic AI space since late 2025, you’ve likely noticed a shift. Previously, we spent most of 2024 and 2025 obsessing over tools—giving LLMs calculators, database access, and API keys. But giving a new employee a laptop and a [...]
Amazon Bedrock’s LLM-as-a-Judge: Automate AI Evaluation with Nova Lite + Claude
Evaluating your LLM’s quality should not cost you too much money or even weeks of your time. You’re probably stuck in a limbo of choosing between two options that have their own drawbacks: Automated metrics like BLEU, ROUGE and accuracy scores? Sure, they are quite fast and cheap, but [...]
A Beginner’s Guide to the Machine Learning Pipeline on GCP
When people hear the term "machine learning," they often imagine complex math, advanced algorithms, or mysterious "AI magic" happening behind the scenes. In reality, machine learning on the cloud is far more practical and structured than it may sound. At its core, an ML pipeline is a series of [...]
Building a Cost-Aware RAG Application with Amazon Bedrock
What if your Client can have a Chatbot that throws a highly accurate responses based on your documents? Without having a guilt of the monthly expenses. Without even subscribing to any costly, AI-support subscriptions. Only pay per inquiry requests to your model provider, and of course only costs you [...]
Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot
Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and [...]
The Year of the Agent: Anthropic’s Claude AI Models and Agents
Looking back on the past year of 2025 coding with the help of artificial intelligence, we can safely say that it was the year of agents, especially pioneered by Anthropic with Claude Code. AI products have matured to offer highly reliable agents that can understand, navigate, and work [...]
AI-Driven Cloud Security at AWS re:Invent 2025
Cloud computing continues to accelerate at a pace that traditional security models were never designed to support. Development teams now provision infrastructure in minutes, deploy services continuously, and scale applications automatically. However, security processes often lag behind this speed. In many organizations, security still enters the workflow after key [...]

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

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. [...]

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

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 [...]

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

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 [...]

The Death of the Sample: How Virtual UGC is Transforming Multimedia Marketing

In the fast-paced world of digital marketing, User-Generated Content (UGC) has long been the gold standard for trust. Seeing a real person hold a product, test a texture, or share an unscripted testimonial triggers a psychological "social proof" that high-production studio ads simply cannot replicate. However, traditional UGC has always been a logistical nightmare: scouting reliable creators, shipping physical samples across borders, managing complex contracts, and praying the lighting and audio are right. Welcome [...]

GitHub Models

GitHub Models Cheat Sheet GitHub Models is a comprehensive suite of developer tools designed to lower the barrier to enterprise-grade AI adoption. It embeds AI development directly into familiar GitHub workflows, helping developers move beyond isolated experimentation. The platform provides tools to test large language models (LLMs), refine prompts, evaluate outputs, and make data-driven decisions using structured metrics—all without requiring separate API keys or complex authentication. Current Status: GitHub Models for organizations and repositories [...]

Agent Skills: On-the-fly capabilities for your AI Agents

Agent Skills are the new boom. If you’ve been following the agentic AI space since late 2025, you’ve likely noticed a shift. Previously, we spent most of 2024 and 2025 obsessing over tools—giving LLMs calculators, database access, and API keys. But giving a new employee a laptop and a login doesn’t make them productive. You still have to train them. For example, you have to show them how your organization works. That is exactly [...]

Amazon Bedrock’s LLM-as-a-Judge: Automate AI Evaluation with Nova Lite + Claude

Evaluating your LLM’s quality should not cost you too much money or even weeks of your time. You’re probably stuck in a limbo of choosing between two options that have their own drawbacks: Automated metrics like BLEU, ROUGE and accuracy scores? Sure, they are quite fast and cheap, but they ultimately fall short in judging real conversations. Since they simply match word patterns, they're not a good fit for open ended responses simply because [...]

A Beginner’s Guide to the Machine Learning Pipeline on GCP

When people hear the term "machine learning," they often imagine complex math, advanced algorithms, or mysterious "AI magic" happening behind the scenes. In reality, machine learning on the cloud is far more practical and structured than it may sound. At its core, an ML pipeline is a series of steps that transform raw data into useful predictions. Think of it like a typical software workflow: You prepare your code You build the application You [...]

Building a Cost-Aware RAG Application with Amazon Bedrock

What if your Client can have a Chatbot that throws a highly accurate responses based on your documents? Without having a guilt of the monthly expenses. Without even subscribing to any costly, AI-support subscriptions. Only pay per inquiry requests to your model provider, and of course only costs you cents, and it lessens when your client is already satisfied with the answer, as it returns a fully verified response based from the documents you [...]

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot

Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and lost development momentum. AWS Labs created IAM Policy Autopilot to solve exactly this problem. IAM Policy Autopilot analyzes your application code and generates AWS IAM [...]