Sasha closes her laptop and looks at you properly for the first time since Monday. "You've fixed six different fires this week — Slava's post, the client letter, the discount codes. Good. Now stop reacting and build something. Pick ONE thing you do every week through AI, and turn it into a process you don't have to reinvent each time."
You'll walk out able to
- Assemble task-spec, context-pack, format, and verification into one repeatable pipeline
- Recognize why verification must be a named, explicit step — not an afterthought
- Describe a real before/after time estimate for a pipeline built on your own work
Your first task
Build your five-step pipeline
Pick one real, recurring task from your own week — a report, a set of messages, a summary, anything you do through a model more than once a month. Lay it out as a pipeline using everything from this course so far.
What you'll answer
Describe your pipeline for one real recurring task in five explicit steps: (1) INPUT — what raw material starts it, (2) CONTEXT-PACK — what you give the model and what you withhold, (3) TASK-SPEC — the request with its done-criterion, (4) FORMAT — the shape for your actual reader, (5) VERIFY — the specific thing you check before it goes out.
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