13Topic 13 of 16

Everyday tasks

Practical jobs: spreadsheets, transcripts, summaries, data analysis with AI.

4 plates · 12 min to read them all


  1. 13.01 Clean Up Messy Spreadsheet Data with ChatGPT Upload the CSV to ChatGPT data analysis, describe the mess once, and get back a cleaned file plus a repeatable formula or script. Limits and traps. 3 min
  2. 13.02 How to Analyze a CSV with ChatGPT Data Analysis Upload a spreadsheet, get it cleaned, charted, and summarized — plus the limits worth knowing before you trust the numbers. 3 min
  3. 13.03 How to Summarize a PDF Locally with Ollama Extract PDF text with pypdf, chunk it, summarize each chunk through the local Ollama API, and merge — about 30 lines, nothing uploaded. 3 min
  4. 13.04 How to Summarize a YouTube Video with AI Pull the transcript with yt-dlp --convert-subs srt, then hand the .srt file to Claude or ChatGPT with a prompt that gives you timestamps, not mush. 3 min

Keep going

Other topics

All 152 plates →
  1. 01 Install & set up 7
  2. 02 First steps 4
  3. 03 Claude Code commands 14
  4. 04 Workflows 7
  5. 05 MCP 9
  6. 06 Claude 2
  7. 07 ChatGPT 6
  8. 08 Cursor 4
  9. 09 Local LLMs 19
  10. 10 Prompting 9
  11. 11 Choosing tools 7
  12. 12 AI media 14
  13. 14 Other coding agents 11
  14. 15 Building with the API 23
  15. 16 Hugging Face 12

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