Guide 01
Ad Agents Need Spend Guardrails Before They Need Better Prompts
As ad platforms become agent-readable and API-first, the winning AI campaign workflow is not better copy. It is spend caps, approval gates, rollback plans, and audit trails.
OpenClaw Skills & MCP Integrations
How to build and use OpenClaw skills and MCP servers to connect your agent to any tool, database, or API and automate real work.
6 guides
Guide 02
Tool Contracts Are the New Prompt Engineering
AI agents do not get reliable because the prompt is clever. They get reliable when every tool has a clear contract: inputs, outputs, permissions, retries, errors, and audit trails.
Guide 03
Agent Skills Are Becoming the App Store for AI Workflows
Reusable agent skills are turning prompts into portable workflow products. Here is how builders should package, sell, and operate AI automation that actually compounds.
Guide 04
MCP Is Overhyped. Here’s When It Actually Makes AI Agents Useful
MCP is not magic agent infrastructure. It is useful when it removes real integration friction, exposes durable business context, and lets agents operate inside workflows that already matter.
Guide 05
OpenClaw MCP Servers: Connect Your AI Agent to Any Tool (2026)
How to set up MCP servers in OpenClaw so your agent can tap files, databases, and APIs with no custom code. A practical OpenClaw MCP servers guide for 2026.
Guide 06
OpenClaw Skills: How to Build Custom Skills That Automate Anything
OpenClaw skills turn repeated prompts into reusable commands your agent auto-matches to your requests. Here is how to build custom OpenClaw skills that save hours every week.