---
title: "AI agents for learning: 3 real examples"
canonical: "https://agenticfeats.com/categories/learning/"
receipts: 3
shown: 2
page: 1
pages: 1
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# AI agents for learning: 3 real examples

Agentic Feats lists 3 sourced examples of AI agents doing learning work; 2 link the artifact; most common agent: Claude Code (2). Newest first.

## Feats, newest first

- [Gatsby lesson plan spreadsheet](https://agenticfeats.com/c/gatsby-lesson-plan-spreadsheet-claude-computer-use.md) (Claude computer use; Claim; 2026-10-13): Claude with Computer Use downloaded The Great Gatsby, researched lesson plans and standards, and filled a spreadsheet on its own. Result: Ethan Mollick received a finished Gatsby lesson plan spreadsheet for high schoolers with no obvious errors, after delegating and walking away.
- [Course modernization with agent fleets](https://agenticfeats.com/c/course-modernization-with-agent-fleets-claude-code.md) (Claude Code; Shown; 2026-10-13): Claude Code turned course evaluations into tracked GitHub issues, then ran agents to rebuild assignments, exams and about two dozen slide decks. Result: Roughly two dozen decks were rebuilt into Quarto reveal.js with speaker notes and refresh checklists, and the approach was reused for two more courses.
- [Chess game post-mortem video](https://agenticfeats.com/c/chess-game-post-mortem-video-claude-code.md) (Claude Code; Shown; 2026-10-13): Claude Code skills ran a Stockfish sweep on a 15+10 rapid game, matched the author's spoken thoughts to moves, and produced a narrated video. Result: A 6:49 narrated video with subtitles, an annotated PGN, and a standalone HTML analysis board for one real lichess game, all included in the repo.
