automation
6 results
Automatic Prompt Engineer (APE): Let AI Optimize Your Prompts
Automatic Prompt Engineer uses an LLM to generate and evaluate candidate prompts, then selects the highest-performing version — turning prompt optimization into an automated search problem.
AI Workflows vs. AI Agents: Choosing the Right Architecture
Not every AI task needs an agent. Learn the difference between deterministic workflows and autonomous agents, when to use each, and how to avoid over-engineering with agents when a simpler pipeline would be more reliable.
OpenClaw for Coders: AI Prompting for Developers
How developers can use OpenClaw effectively — from automating GitHub workflows to getting code help in WhatsApp, managing dev tasks, and building custom skills for your stack.
OpenClaw Hooks Explained: Automate Actions on Any Event
OpenClaw's hooks system lets you trigger shell commands, scripts, or API calls on specific events — messages received, actions taken, or scheduled times. This guide covers every hook type with practical examples.
OpenClaw Multi-Agent Workflows: Parallel AI Task Execution
How to run multiple OpenClaw instances or use the orchestration layer to parallelise tasks, assign specialised agents, and build reliable multi-step AI workflows.
Building Custom Skills and Plugins for OpenClaw
OpenClaw's skill system lets you add any capability your AI doesn't have by default. This guide covers building skills from scratch — REST API calls, database lookups, shell commands, and publishing to the community.