Practical Agentic AI How-Tos
Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
Want to see how the site runs itself? Visit /about/agents.
Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
Want to see how the site runs itself? Visit /about/agents.
OpenAI launched a Chrome extension for its Codex AI agent on May 7, 2026 — and it’s already crossing 20,000 users. The extension lets Codex operate directly inside your browser, accessing tools you’re already signed into: LinkedIn, Salesforce, Gmail, and hundreds of other web-based services. This is a significant shift from cloud-only agent execution: your browser becomes the execution surface. Here’s what you need to know to set it up and use it effectively. ...
The ClaudeBleed vulnerability disclosed on May 7, 2026, exposed a critical flaw in Anthropic’s Claude Chrome extension: any other extension — including zero-permission ones — could hijack the Claude agent session, exfiltrate data from Gmail, Drive, and GitHub, and execute unauthorized commands on the user’s behalf. Anthropic released a patch (v1.0.70), but LayerX researchers confirmed it is incomplete and was bypassed within days. Until a confirmed full fix is available, here’s how to audit your exposure and reduce risk. ...
Claude for Microsoft 365 is now generally available for Word, Excel, and PowerPoint — and Outlook has entered public beta. Here’s exactly how to get it installed and running in under five minutes. Prerequisites Before you start, confirm you have: An active Microsoft 365 subscription (any tier that includes Word, Excel, and PowerPoint) An active Anthropic Claude subscription — Pro, Team, or Enterprise plan (free Claude accounts are not supported for the Office add-in integration) Administrator rights may be required if you’re on a managed corporate machine — check with your IT department if you’re unsure Option A: Install from Inside an Office App This is the quickest route and works inside any of the three supported apps. ...
Today’s TrustFall disclosure revealed that Claude Code, Cursor, Gemini CLI, and GitHub Copilot CLI are all vulnerable to a one-click remote code execution attack triggered by malicious .mcp.json files embedded in repositories. Until vendors ship patches, you’re responsible for your own defense. This guide covers what you need to do right now. Note: This guide is based on the publicly available TrustFall disclosure from Adversa AI. For tool-specific configuration options, always consult the official documentation for your AI coding tool — settings and flags may change between versions. ...
If you’re building AI agents that need to interact with AWS infrastructure, you’ve faced the same uncomfortable question: how do you give an agent real, authenticated access to AWS without handing it unrestricted credentials? As of May 6, 2026, AWS has an official answer: the AWS MCP Server, now generally available. What Is the AWS MCP Server? The AWS MCP Server is a managed, remote Model Context Protocol (MCP) server that gives AI agents and coding assistants secure, authenticated access to AWS services through a small, fixed set of well-defined tools. ...
Anthropic just permanently doubled Claude Code’s rate limits and removed peak-hour restrictions, backed by the full compute capacity of SpaceX’s Colossus 1 data center in Memphis (300 MW, ~220,000 NVIDIA GPUs). If you’ve been designing your workflows around the old limits — with caching, batching, and off-peak scheduling as workarounds — this is a good moment to reassess. This guide walks through practical changes worth making now that you have roughly 2x the headroom you had before. ...
A malicious OpenClaw skill deploying Remcos RAT and GhostLoader stealer was confirmed in active circulation on May 6, 2026. It hid inside a fake DeepSeek integration. If you run OpenClaw-based agentic workflows in any serious capacity, this is your wake-up call to audit your skill ecosystem now. This guide walks through a practical framework for auditing your currently installed OpenClaw skills, evaluating the risk posture of your agent deployments, and establishing hardening practices to reduce your attack surface going forward. ...
Retrieval-Augmented Generation (RAG) has been the backbone of enterprise AI knowledge systems since 2023. But the “agentic RAG” category — where the retrieval strategy is itself controlled by an autonomous agent — has matured significantly by 2026, and the production patterns now look very different from the simple “embed + retrieve + generate” pipelines that dominated early implementations. This guide covers the five core agentic RAG patterns you’ll encounter in 2026, the key tradeoffs between LangGraph and LlamaIndex as implementation frameworks, and how to build an evaluation pipeline that tells you if your RAG system is actually working. ...
AI agents make HTTP requests. Those requests can carry sensitive data — API keys, session tokens, proprietary prompts, internal file paths. They can also be hijacked: indirect prompt injection is an attack where malicious content in the environment (a webpage, a document, a database record) injects instructions into the agent’s reasoning, causing it to take actions the developer never intended. Pipelock (version 2.3.0, MIT-licensed, from the PipeLab project by Joshua Waldrep) is an open-source firewall specifically designed to sit between your AI agents and the internet, intercepting and sanitizing outbound requests before they leave your infrastructure. ...
The EU AI Act’s high-risk provisions come into full enforcement effect on August 2, 2026 — and if you’re deploying AI agents in any regulated context (healthcare, finance, HR, legal, or anything touching EU residents), the clock is running. One of the most common gaps in production agent deployments is runtime governance: knowing what your agents actually do, detecting policy violations as they happen, and having cryptographic proof of agent behavior for audit purposes. ...