The New AI Stack

OpenClaw is an open-source personal AI assistant that runs locally, supports 12+ model providers, and has 13,000+ skills on ClawHub. Here's what you need to know.

Claude Code is your IDE agent. Hermes is your server-side agent. Here is how to decide which tool fits which job, and why most teams end up using both.

Why persona-based agents consistently outperform ad-hoc prompt engineering, and what the shift means for how we use LLMs.

A first-person account of building a full-stack application with AI in 3 days instead of 60. What worked, what failed, and the real multiplier.

MCP connects to external services. Skills encode domain expertise. Together they form the complete AI extensibility stack. Learn when to build each.

How agentskills.io became the markdown-native skill format shared across Hermes, Claude Code, Cursor, and Codex — and what it means for portability.

Model Context Protocol is identical in both runtimes. What differs is the host lifecycle. Compare filesystem, GitHub, and Postgres MCP servers side by side.

Why CLI-first beats MCP-only for AI tool design. Build tools that work everywhere, not just inside a specific AI framework.

What to do when Claude Pro limits cap out. A practical guide to running local models as fallback without losing your workflow.

A clear taxonomy of the three AI building blocks: agents, skills, and workflows, with concrete examples and when to use each.

ClawFlows ships 113 open source automation workflows for OpenClaw — focus mode, standups, backups, security audits, and more. Here's the full overview.

Cut through the agentic AI hype. Practical patterns for building AI agents that actually work, from tool design to error recovery.