career path · 14 chapters · ~9h 3m

automate the work your department runs on

the operations path teaches you the python to wire ai into your workflows and build the automations, instead of being the one automated.

who this is for

you run operations. you've watched ops roles get replaced by automations, and you'd rather be the person who builds them. you use ai tools but can't yet build the workflow that runs without you. this path gets you there.

what you'll be able to do

build automations that loop through real work and handle the failures instead of crashing. pull data, call ai models, and wire them into the processes your department depends on. build and maintain an agent harness. understand the terminal and the ai clis well enough to actually ship.

the route, in order

start in ops studio by mapping a recurring process, automating the safe steps, and naming the approval boundary. the shared builder spine supplies the terminal, model, tool, and agent-loop skills that make the automation run. self-paced; the full route is listed below.

  1. 01ops studioch 55 · ~58m
  2. 02from worker to builderch 00 · ~1h 14m
  3. 03intro to terminalch 31 · ~26m
  4. 04intro to claude clich 32 · ~32m
  5. 05read the scriptch 01 · ~21m
  6. 06read the data shapesch 02 · ~23m
  7. 07read the failurech 03 · ~24m
  8. 08mutationch 07 · ~10m
  9. 09read the pipelinech 04 · ~26m
  10. 10llm apisch 13 · ~45m
  11. 11structured outputch 14 · ~38m
  12. 12mcpch 15 · ~40m
  13. 13agent loopsch 16 · ~1h 11m
  14. 14agent harnessesch 26 · ~55m

how it works

no videos, no fizzbuzz. every step shows a small piece of ai-written code. you read it, predict what it does, find the bug, fix it, run it. it all runs in your browser.

where you end up

builds department automations, wires ai into ops workflows, maintains agent harnesses.

free to start, no signup. plus unlocks every chapter at once; the free path moves through them in order. teams get progress visibility and role-fit rollout — see for teams.