AI Systems.
Applied AI, model tooling, safety, and practical security workflows.
Agent Skills with Google Gemini: Function Calling Guide
Complete guide to Gemini function calling — define tools, handle function_call responses, return results, and compare syntax with Claude and OpenAI. Node.js.
Vercel AI SDK Tools: One API for Claude and OpenAI Skills
Vercel AI SDK's unified tool interface works with Claude, OpenAI, and Gemini. Write your skill once and switch AI providers without rewriting the agent loop.
Build a GitHub Issue Creator Skill for Your AI Agent
Create a production-ready agent skill that creates GitHub issues from natural language, with label assignment, duplicate detection, and dry-run mode.
Chaining Agent Skills: Research, Summarize, and Save
Build a skill chain where an agent searches the web, summarizes findings, and saves results to a file — all from a single prompt. Full Node.js walkthrough.
File System Skills: Let Your Agent Read and Write Files
Build safe file system skills that let an agent read, write, and list files — with path sandboxing, size limits, and guardrails to prevent runaway writes.
Agent Skills with Memory: Persisting State Between Chats
Teach your agent to remember across conversations. Build read/write memory skills backed by a JSON file, then upgrade to SQLite — full Node.js code.
Testing and Debugging Agent Skills Before You Deploy
Skills that work alone fail differently inside an agent loop. Unit test your tools, mock AI calls, and debug the full tool_use cycle in Node.js.
Handling Errors in Agent Skills: Retries and Fallbacks
What happens when a tool fails? Handle errors in agent skills — timeouts, bad API responses, retries, and graceful fallbacks with real Node.js code.
Agent Skills with the OpenAI API: Function Calling Explained
How to use OpenAI function calling with gpt-4o — define functions, handle tool_calls in responses, execute your code, and return results. Full Node.js working example.
Agent Skills with the Claude API: tool_use From Scratch
Learn how to give Claude tools using the Anthropic API — define tools, handle tool_use responses, execute functions, and return results. Full Node.js working example.
Build Your First Agent Skill for OpenClaw (Step-by-Step)
Learn how to create a custom OpenClaw skill using SKILL.md — from a simple weather lookup to a database query. Real code, real scenarios, no fluff.
What Are Agent Skills? AI Tools Explained Simply
Agent skills are the actions an AI can take beyond just talking. Learn what skills are, how they differ from prompts, and why they make AI actually useful in real workflows.
How to Install OpenClaw on Ubuntu, macOS, and Windows (2026 Guide)
Step-by-step guide to install OpenClaw on Ubuntu, macOS, and Windows — including Node.js setup, openclaw init walkthrough, API key configuration, and common error fixes.
OpenClaw Tutorial: Build Your First AI Agent in 15 Minutes
Build your first OpenClaw agent from scratch — connect Telegram, configure a heartbeat schedule, set up memory, and swap LLMs. A complete hands-on walkthrough with real scenarios.
How OpenClaw Memory Works (And Why Your Data Never Leaves Your Machine)
OpenClaw stores your AI agent's memory as plain Markdown files on your machine — no cloud sync, no third-party servers. Here's exactly how it works and how to back it up.
OpenClaw Integrations: Connect WhatsApp, Telegram, Slack and More
Step-by-step guide to connecting OpenClaw to Telegram, WhatsApp, Slack, and Discord — including bot token setup, voice mode config, multi-platform routing, and privacy notes.
OpenClaw Multi-Agent Setup: Make Your Agents Talk to Each Other
Learn how to build OpenClaw multi-agent pipelines using ACP — connect a research agent, writer agent, and publisher agent so they work together autonomously overnight.
OpenClaw vs ChatGPT vs Claude: Which AI Setup Is Right for You?
Honest comparison of OpenClaw, ChatGPT, and Claude web — privacy, memory, cost, autonomy, and setup. Five questions to find your best AI setup.
What Is OpenClaw? The Self-Hosted AI Agent Everyone Is Talking About
OpenClaw is a self-hosted autonomous AI agent that runs on your hardware, connects to 20+ messaging apps, and never sends your data to the cloud. Here's what it actually is.
LangGraph vs CrewAI vs Claude Agent Teams: Which Should You Use?
A practical comparison of the three dominant multi-agent frameworks in 2026 — LangGraph, CrewAI, and Claude Agent Teams — with a decision table to pick the right one.
Multi-Agent Systems Explained: When One AI Isn't Enough
A practical guide to multi-agent systems — what they are, when to use them, how orchestrator/subagent patterns work, and what Claude Agent Teams look like in practice.
AI Mistakes When Building Apps (And How to Fix Them)
The mistakes developers make when integrating AI into their apps — not the obvious ones, but the ones that only show up after you've shipped and users are hitting them.
Designing AI-Native Features: What to Build vs What to Prompt
A practical decision framework for knowing which app features should use AI, which should stay in code, and how to avoid the most common trap in AI product design.
Docker Desktop Was Killing My Laptop. Here Is What Fixed It.
Docker Desktop using 6GB RAM and spinning the fan constantly. A few targeted config changes — memory caps, layer caching, dev vs prod images — fixed it completely.
Prompt Engineering Is Dead. Long Live System Prompts.
The 2023 obsession with magic prompt tricks is over. What actually works in 2026: clear system prompts, examples over descriptions, explicit constraints, and evals.
Prompts That Go Wrong: What I Learned Shipping AI Features
Real examples of prompts that looked fine in testing and broke in production — and what I changed to fix them. A field guide for developers writing prompts for real users.
What Is RAG and When Does It Actually Help?
Retrieval-Augmented Generation explained simply — what it is, how embeddings and vector search work, when RAG helps vs when you do not need it, with a working Python example.
What Is a Context Window and Why Should Developers Care?
The context window is one of the most important things to understand about working with AI — and one of the least explained. Here's what it actually is and why it changes how you build.
What Is an LLM? A Plain English Guide for Developers
No jargon, no hype. What a large language model actually is, how it works under the hood, why it sometimes gets things wrong, and what that means for how you use it.
How to Add Claude to Your App Using the Anthropic API
A practical guide to integrating Claude into your app with the Anthropic SDK — from first call to streaming, context management, and common usage patterns.
I Used Claude to Review My Code for a Week. Here Is What It Caught.
A week-long experiment using Claude as a daily code reviewer on a real Node.js project — bugs found, security issues caught, where it was wrong, and what changed.
Claude Code vs Cursor: Which One Actually Helps You Ship?
A real comparison of Claude Code and Cursor from a developer who uses both — what each one is actually good at, where they frustrate you, and how to decide.
How Junior Engineers Should Actually Use Claude Code
Not a shortcut — a safety net. How to use Claude Code to learn faster, catch mistakes early, and ship better code without becoming dependent on AI for thinking.
Claude vs ChatGPT for Developers: An Honest Look
Not a benchmark chart. A real developer's honest take on when Claude works better than ChatGPT, when it doesn't, and what actually matters when choosing between them.
I Deleted My Code with git reset --hard. git reflog Saved It.
True story: running git reset --hard on the wrong branch wiped a week of work. Here is how git reflog recovered it all — and the guardrails I set up after.
Using Claude for Code Review: A Developer's Field Guide
How to actually use Claude to catch real bugs in your code before your teammates do — with prompts that work and an honest look at what Claude still misses.
How Developers Actually Use Claude Every Day (Not What You'd Expect)
Forget the hype. Here's how real developers have quietly worked Claude into their daily workflow — from debugging at 1am to writing docs nobody reads.
How to Write Your First Claude Code Skill (SKILL.md Guide)
A hands-on tutorial to create a working Claude Code skill using SKILL.md — build a /smart-commit skill that runs checks, writes a message, and commits in one command.
What Are Claude Agent Skills and How Do They Work?
A clear explainer on Claude Agent Skills — what they are, how the SKILL.md format works, lifecycle hooks, and why they matter for developer workflows in 2026.
Build Your First MCP Server for Claude in 15 Minutes
A step-by-step tutorial to scaffold a minimal MCP server in TypeScript, expose a tool, and connect it to Claude. The fastest path from zero to a working integration.
MCP Explained: How Claude Connects to Any Tool or Data Source
A clear breakdown of the Model Context Protocol — what it is, why it became the industry standard, and how Claude uses MCP servers to connect to tools and data.
Claude vs Gemini 2.5 for Coding: Honest Comparison
Hands-on comparison of Claude Sonnet 4.6 vs Gemini 2.5 Pro for real coding tasks — debugging, code review, test writing, long context, and daily workflow integration.
An AI Security Checklist for Small Teams Shipping Fast
A practical AI security checklist for small teams that want to move quickly without ignoring prompts, data exposure, tools, and basic safeguards.
Fight AI with AI: How to Use the Malwarebytes ChatGPT App to Catch Phishing Scams
Scammers now use generative AI to produce convincing phishing messages. Here is how the Malwarebytes app inside ChatGPT can help you investigate delivery scams, bank alerts, and suspicious links faster.
How to Evaluate AI Security Tools Without Buying the Marketing
A practical guide to evaluating AI security products so teams can separate useful controls from vague dashboards and inflated claims.
How to Red-Team Your Own Chatbot Before Users Do
A practical starting guide for teams that want to test their chatbot for jailbreaks, prompt injection, unsafe outputs, and data leakage before launch.
Prompt Injection, Explained for Normal People
Prompt injection sounds technical, but the core idea is simple: attackers hide instructions inside content and try to make an AI system obey them.
How to Spot AI-Generated Phishing Before You Click
Generative AI has made phishing emails cleaner and more believable. This guide shows the practical signs that still give them away.
What You Should Never Paste Into AI Tools at Work
A practical security guide for teams using ChatGPT and other AI tools without accidentally leaking secrets, contracts, or customer data.
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