AI automation isn't just hype — it's a force multiplier when you use it right. After spending months building AI-powered workflows for everything from bug bounty hunting to content creation, here are five battle-tested tips that actually move the needle.
1. Chain Small, Reliable Steps Instead of One Big Prompt
The biggest mistake I see: stuffing a 500-word prompt into a single LLM call and praying it works. Instead, break your workflow into discrete, verifiable steps. Each step does one thing well, and you can inspect the output before feeding it to the next step.
Example: Instead of "analyze this web app and write a pentest report," build a pipeline:
Crawl endpoints → validate each one
