Thirty days ago you rated yourself on six automation skills. Same six today — same scale. Then you see the gap.
I ran the capstone this morning. It read the candidate-citations Sheet, drafted the co-author email with the top 5 new hits, and created the Calendar event for next week's lit-review meeting. All from one function call.
That workflow touched three separate apps — Sheets, Gmail, Calendar — and made a decision about which papers were worth flagging. Three weeks ago you were typing those emails by hand.
I want to see where I've moved since Day 1.
Same six rows. Rate where you actually are today. The chart shows both columns side by side — Day 1 and today. That gap is the argument for adding this to your methods section.
My co-author asked me to set up the same pipeline for her project. She doesn't even know it's just a Python script.
The best automations are the ones that are invisible to the people they help.
30 days, 20 automation lessons, 1 literature-search pipeline.
| Column | Meaning |
|---|---|
| Left bar | Day 1 self-rating |
| Right bar | Today's rating |
| Gap | Real, measurable growth |
Ahead: ai-for-researchers starts where this track ends. The first thing you meet there is a real AI agent — one call that summarises an abstract in two sentences, ready for your lit-review notes.
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Thirty days ago you rated yourself on six automation skills. Same six today — same scale. Then you see the gap.
I ran the capstone this morning. It read the candidate-citations Sheet, drafted the co-author email with the top 5 new hits, and created the Calendar event for next week's lit-review meeting. All from one function call.
That workflow touched three separate apps — Sheets, Gmail, Calendar — and made a decision about which papers were worth flagging. Three weeks ago you were typing those emails by hand.
I want to see where I've moved since Day 1.
Same six rows. Rate where you actually are today. The chart shows both columns side by side — Day 1 and today. That gap is the argument for adding this to your methods section.
My co-author asked me to set up the same pipeline for her project. She doesn't even know it's just a Python script.
The best automations are the ones that are invisible to the people they help.
30 days, 20 automation lessons, 1 literature-search pipeline.
| Column | Meaning |
|---|---|
| Left bar | Day 1 self-rating |
| Right bar | Today's rating |
| Gap | Real, measurable growth |
Ahead: ai-for-researchers starts where this track ends. The first thing you meet there is a real AI agent — one call that summarises an abstract in two sentences, ready for your lit-review notes.