Articles
Seven multi-agent architectures, and when each one is the right call
Everyone says multi-agent. Almost nobody says which one they mean. Seven patterns, what each one actually does, and the decision that picks it.
How Many Agents Do You Use Daily?
Counting agents is the wrong unit. A platform is mainly three things, and once those are right the agents become consumables.
You're Not Behind on AI. You Just Don't Know Which Task to Hand Over First
Four places AI agents almost always fit in a business, and what separates one that decides from a twenty dollar automation that just follows a rule.
In 2026, AI Stopped Scraping the Web and Started Using It
For years, browser automation meant one brittle script per website. Agentic browser automation flips it: an AI drives a real browser and reads the page the way you do, through the accessibility tree, not the code.
I Turned Filmmaking Into an AI System
Breaking the craft of film into machinery an agent can run.
A Full-Stack Platform for AI-Assisted Operations?
Give your agents and workflows a durable domain to live in: custom software surfaces, APIs, storage, dashboards, notes, and agent hooks around shared data.
When AI Writes Software Faster Than You Can Hold It in Your Head
AI can grow a codebase faster than one person can remember it. The real risk is architectural amnesia, and the answer is engineering discipline.
Your AI Agent Can Use the Other Computer Now
remote-pc-mcp lets an AI agent control another machine over MCP, from running commands and managing files to launching jobs, screenshots, and desktop UI.
Use OpenClaw, or Build From Scratch in Python?
OpenClaw is the faster path to capability. Building lower in the stack is slower, but it gives you a system shaped around your workflows, data, and security boundaries.