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AI Cheat Sheets

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Agent Skills Cheat Sheet

2026-04-30T20:14:18+00:00

Agent Skills are like built-in “playbooks” that an AI can use when it recognizes a task. Instead of giving detailed instructions every time, the AI (like Anthropic Claude) already knows what to do because the knowledge is packaged inside a Skill. This makes interactions faster and more consistent, especially for repeated workflows. Why they matter In real-world usage, repeating the same instructions over and over is inefficient. Agent Skills solves that problem. They allow the AI to: Act like a specialist in a specific domain Automatically apply best practices Handle complex workflows without needing full context every time Over time, [...]

Agent Skills Cheat Sheet2026-04-30T20:14:18+00:00

AI Workflows vs AI Prompts: What’s the Real Difference

2026-04-21T05:49:01+00:00

At first, using AI feels simple. You type a prompt, get a response, and move on. That’s how most people start, and for basic tasks, it works. But as you try to do more complex or repeatable work, you begin to notice something: prompts alone aren’t enough. This is where the difference between AI workflows vs AI prompts starts to matter, because the way you structure your interaction with AI directly affects the quality and consistency of your results. Over time, many users realize that the real power of AI doesn’t come from writing better one-off prompts, but from designing systems [...]

AI Workflows vs AI Prompts: What’s the Real Difference2026-04-21T05:49:01+00:00

Amazon Q Business Cheat Sheet

2026-03-11T14:43:37+00:00

Amazon Q Business is a fully managed enterprise AI assistant from AWS that helps employees interact with company knowledge using natural language. It allows users to ask questions, summarize documents, generate content, and automate routine workplace tasks based on internal data. Key characteristics: AI assistant designed for employees Uses enterprise data to generate responses Built on Amazon Bedrock Generates answers with citations from internal sources Helps automate common workplace tasks This service helps organizations improve productivity by making company knowledge easier to search and use.   Why Organizations Use Amazon Q Business? Large organizations store information across many systems, such [...]

Amazon Q Business Cheat Sheet2026-03-11T14:43:37+00:00

Amazon SageMaker Canvas Cheat Sheet

2026-03-11T14:42:33+00:00

Amazon SageMaker Canvas is a visual machine learning service that allows users to build, train, evaluate, and generate predictions from machine learning models without writing code. Instead of programming machine learning algorithms, users interact with a graphical interface that guides them through the ML process. SageMaker Canvas is part of Amazon SageMaker Studio, which enables collaboration between business users and data scientists. The main goal of SageMaker Canvas is to democratize machine learning, allowing users of different skill levels to create ML models. SageMaker Canvas is designed for users who want to apply machine learning but may not have programming [...]

Amazon SageMaker Canvas Cheat Sheet2026-03-11T14:42:33+00:00

Vertex AI Search

2026-01-31T06:44:27+00:00

Vertex AI Search Vertex AI Search is a Google Cloud service that enables developers to build AI-powered search experiences over structured and unstructured data using Google’s search and ranking technologies. It is part of the broader Vertex AI ecosystem and focuses on delivering semantic search and relevance-based retrieval rather than simple keyword matching. Vertex AI Search is commonly used as the retrieval layer for search-driven applications, including those enhanced with generative AI through Generative AI App Builder. It provides managed indexing, semantic relevance, and ranking while abstracting low-level search infrastructure management. Key points: Vertex AI Search allows applications to retrieve [...]

Vertex AI Search2026-01-31T06:44:27+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

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator

2026-01-27T18:51:07+00:00

If you’ve ever struggled to package your ML model in a custom Docker image for SageMaker, the new ml-container-creator tool is here to help. This friendly open-source wizard guides you through building a SageMaker-compatible container without all the usual Docker headaches. It’s like having an assistant that writes your Dockerfile, server code, and config files for you, so you can focus on your model. What is BYOC on SageMaker? BYOC stands for Bring Your Own Container. In SageMaker, BYOC means you supply your own Docker image with everything needed to serve your ML model (the code, libraries, dependencies, etc.). AWS [...]

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator2026-01-27T18:51:07+00:00

What is an AI Agent?

2025-09-19T13:01:29+00:00

AI agents are autonomous systems that perform tasks, make decisions, and interact with their environment with minimal human intervention. These agents can handle complex processes across various industries by leveraging advanced machine learning and artificial intelligence techniques. Here’s a comprehensive guide to understanding AI agents, their components, types, and applications. Core Components: Perception: Collects data from the environment using sensors or input channels. Reasoning: Analyzes the gathered data to make informed decisions or predictions. Action: Executes actions or tasks based on the reasoning process. Learning: Improves performance over time by learning from previous experiences. Memory: Retains data to provide continuity [...]

What is an AI Agent?2025-09-19T13:01:29+00:00

Using llms.txt for a LLM-Friendly Website: The Future of AI-Optimized Web Design

2026-01-11T02:45:41+00:00

  How a simple text file is revolutionizing the way AI systems understand and interact with websites The Dawn of AI-First Web Design Imagine a world where your website doesn't just serve human visitors, but also communicates seamlessly with AI systems, chatbots, and language models. Welcome to 2024, where this isn't science fiction, it's the new reality. As Large Language Models (LLMs) like GPT-4, Claude, and Gemini become integral to how people discover and interact with information, websites need to evolve beyond human-only design. Enter llms.txt, a groundbreaking standard that's quietly transforming how websites communicate with artificial intelligence. Think of [...]

Using llms.txt for a LLM-Friendly Website: The Future of AI-Optimized Web Design2026-01-11T02:45:41+00:00

The Faces You See Aren’t Real: How AI Is Quietly Replacing Real Models

2025-09-12T11:23:40+00:00

  Image Generated by ChatGPT AI “She looked perfect… maybe too perfect.” That's what many of us are starting to think when we scroll past new fashion campaigns or pass by dazzling billboards on the street. The faces are flawless, the poses are fierce — yet there’s something slightly unreal about them. And here’s the twist: they might not be real at all. Artificial intelligence is creeping into the heart of the modeling industry — and it’s not creeping quietly. Thanks to powerful tools like Google Veo, brands can now create entire campaigns using models who aren’t human [...]

The Faces You See Aren’t Real: How AI Is Quietly Replacing Real Models2025-09-12T11:23:40+00:00

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