Thirty days ago you rated yourself on six automation skills. Today you rate yourself again — same questions, same scale. Then you see the delta.
I ran the research tracker this morning. It pulled this week's Sheet entries, drafted the advisor email, and created the Calendar event — three steps, one function call, thirty seconds.
And that function chained three apps: Sheets to read your progress log, Gmail to draft the update, Calendar to block next week's check-in. The error handling you added on Day 27 means it degrades gracefully even when a connection drops.
I want to see the before-and-after chart.
Same six rows. Rate where you are now — the chart puts Day 1 and today side by side so you can see exactly what shifted.
What comes after automation?
Rate first. The AI track is waiting, and the first thing you build there is an agent that reads academic abstracts and extracts structured findings — no copy-paste required.
30 days, 20 automation lessons, 1 real research-progress tracker.
| Column | Meaning |
|---|---|
| Left bar | Day 1 self-rating |
| Right bar | Today's rating |
| Gap | Real, measurable growth |
Ahead: ai-for-students picks up where this track ends. The first thing you build is a PydanticAI agent that summarises a dense academic abstract in two sentences.
Thirty days ago you rated yourself on six automation skills. Today you rate yourself again — same questions, same scale. Then you see the delta.
I ran the research tracker this morning. It pulled this week's Sheet entries, drafted the advisor email, and created the Calendar event — three steps, one function call, thirty seconds.
And that function chained three apps: Sheets to read your progress log, Gmail to draft the update, Calendar to block next week's check-in. The error handling you added on Day 27 means it degrades gracefully even when a connection drops.
I want to see the before-and-after chart.
Same six rows. Rate where you are now — the chart puts Day 1 and today side by side so you can see exactly what shifted.
What comes after automation?
Rate first. The AI track is waiting, and the first thing you build there is an agent that reads academic abstracts and extracts structured findings — no copy-paste required.
30 days, 20 automation lessons, 1 real research-progress tracker.
| Column | Meaning |
|---|---|
| Left bar | Day 1 self-rating |
| Right bar | Today's rating |
| Gap | Real, measurable growth |
Ahead: ai-for-students picks up where this track ends. The first thing you build is a PydanticAI agent that summarises a dense academic abstract in two sentences.
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