๐Ÿ’ก Stack-agnostic. This module uses Claude Code as a case study: the built-in WebFetch tool reads the page, then comes the analysis. In other stacks the pattern is the same: you need any page-reading tool your agent has (built-in or an MCP server, module 07). See module 03 for your stack.

โšก Activation

๐Ÿ’ญ in your head ยท nothing to type

Catch one cycle from the last three days: you pulled something from the internet and delivered it somewhere else.

Don't picture it as "working at a computer." Picture it as a factory assembly line. The part (information) lands on the belt, passes station to station (read, extract, relay), and exits as a finished product at the other end.

Run that line in your head: how many stations? At which one does the belt slow down and a backlog starts forming?

๐Ÿ‘ Reflection

๐Ÿ’ญ in your head ยท nothing to type

Hold that route in front of you โ€” like a cartographer who just walked the terrain on foot.

At every bend they mark the map: "swamp here" (hard going), "firm road here" (easy). Look at your own route the same way: which stretches are manual-labor swamp, and which already move almost on their own?

Your pipeline today is the first map you won't need to walk twice. Which stretch do you chart first?

๐Ÿ’ก Concept

Every automation = Trigger โ†’ Action

This is the foundational mental model:

Trigger Action
6:00 alarm Phone rings
Payment goes through Email + SMS to customer
You give the agent a URL Agent scrapes โ†’ analyzes โ†’ saves the result

Three questions before building a pipeline

  1. Trigger: what kicks off the process? (you manually, a schedule, a new file, a webhook)
  2. Action: what should happen? (scrape โ†’ analyze โ†’ save โ†’ notify)
  3. Condition: when should it NOT run? (duplicates, rate limits, errors)