transcript-analysis 3

Add appendices to (Marp) slide decks from transcripts to improve quality and learning. Write content for these 4 slide appendices based on the transcript, in the same style as the slides: - Quiz. List ≤5 non-trivial quiz questions based on the content, each ≤25 words. - Errata. Search only and fact-check every bullet points and list any corrections. Cite sources. - Counterpoints. Research and append alternative views to bullets. Cite sources. - Feedback. List ≤5 ways the speaker could improve clarity, engagement, or informativeness. Format the new slides as follows: - Begin each section with an H2 heading (≤7 words). - Each section lists ≤5 bullet points, each ≤25 words. - Write bullets as complete sentences. - Highlight in **bold** the top 1-3 phrases that address the section heading directly, if applicable. <SLIDES> ... </SLIDES> <TRANSCRIPT> ... </TRANSCRIPT>

I asked ChatGPT to analyze our daily innovation-call transcripts. I used command-line tools to fetch the transcripts and convert them into text: # Copy the transcripts rclone copy "gdrive:" . --drive-shared-with-me --include "Innovation*Transcript*.docx" # Convert Word documents to Markdown for f in *.docx; do pandoc "$f" -f docx -t gfm+tex_math_dollars --wrap=none -o "${f%.docx}.md" done # Compress into a single file tar -cvzf transcripts.tgz *.md … and uploaded it to ChatGPT with this prompt: ...

I record my conversations these days, mainly for LLM use. I use them in 3 ways: Summarize what I learned and the next steps. Ideate as raw material for my Ideator tool: /blog/llms-as-idea-connection-machines/ Analyze my transcript statistics. For example, I learned that: When I’m interviewing, others ramble (speak long per turn), I am brief (less words/turn) and quiet (lower voice share). In one interview, I spoke ~30 words per turn. Others spoke ~120. My share was ~10%. When I’m advising or demo-ing, I ramble. I spoke ~120 words per turn in an advice call, and took ~75% of the talk-time. This pattern is independent of meeting length and group size. I used Codex CLI (command-line tool) for this, with the prompt: ...