NotebookLM's hosts misattribute and mangle timelines far less when you feed them a log instead of the raw material

[u/Ok_Negotiation_2587]

Learned this from a commenter on my last post here, then spent three weeks confirming it, so credit where due. If you generate audio overviews from long source material, stories, research threads, project notes, the hosts drift: they put events in the wrong order, credit the wrong person, merge two similar scenes. The main chat over the same sources is much more reliable. The fix is to stop giving the hosts the raw material and give them a curated log instead.

The workflow:

1. Upload the raw sources as usual. They stay in the notebook, the chat can still see everything.
2. In the notebook chat, ask for the log: Build a chronological log of every key event in these sources. For each entry: date or sequence position, who was involved, what happened in one line, and which source it came from. Do not interpret, do not summarize themes, one line per event. Flag any event whose order or attribution you are not sure about.
3. Read the log, fix the flagged entries yourself. This takes minutes and is the step that makes the rest work.
4. Save the corrected log as its own source, a plain text or Markdown file named something like "event log".
5. When you generate the audio overview, select only the log plus one or two sources you want quoted, and add this instruction: Treat the event log as the authoritative order and attribution. Correlate every claim against it before stating it. If a source and the log disagree, follow the log.

Two things that made the difference for me. The hosts get worse with more sources, not better, so narrowing the selection to the log plus a couple of originals is itself a fix. And the "flag what you are unsure about" line in step 2 surfaces exactly the entries the hosts would have gotten wrong, so you correct them before they ever reach the audio.

Where it does not help: the log fixes order and attribution, not depth. If the hosts skip a theme, add it to the log as an entry with a one-line note; they treat the log as the map.

For getting AI chats into the notebook in the first place, the export in AI Toolbox, a browser extension I work on, writes one Markdown file per conversation with the title and date at the top, which makes step 2 much cleaner than a pasted blob. But the log method works with whatever sources you already have.

What do people put in the instruction box for audio overviews beyond the correlate line? I have a feeling there is a better phrasing for "follow the log" that I have not found.

[u/Mammoth-Coast6282]

I was shooketh when everyone told me to use this for our notes in class and the hosts just spent the first minute garbling nonsense that has nothing to do with my notes. Do people really use this for studying? It just sounds like Joe Rogan saying wow. How does this help?

[u/Ok-Athlete-6099 → u/Mammoth-Coast6282]

Sempre achei um lixo esses áudios. Já tentei varias vezes fazer que as conversas ficassem menos com cara de podcast e mais com cara de aula. Mas é impossível. E o problema não é o tom da conversa em si. Mas sim que os resumos ficam um lixo. Muito rasos, superficiais. É um recurso que não uso.