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Which AI assistant should I use for meeting notes and summaries?

AI assistance for meeting notes splits into two workflows. The first is using a dedicated meeting recording and transcription tool — Otter.ai, Fireflies, Grain, or similar — that automatically joins, records, transcribes, and summarizes meetings. The second is using a general AI assistant to process a transcript you've already obtained. These are different products solving the same problem.

General AI assistants (Claude, ChatGPT, Perplexity) are useful when you have a transcript and need to extract specific information: action items, decisions, follow-up questions, or a structured summary formatted for a particular audience. Claude's large context window is the most practical for very long transcripts that don't fit in shorter context limits.

Quick answer

You have a meeting transcript and need to extract action items, decisions, and a structured summary→ Claude — large context window handles long transcripts in one session; strong at structured extraction and clear summary formatting

You want automatic recording, transcription, and summarization without manual transcript processing→ A dedicated meeting tool (Otter.ai, Fireflies, Grain) — outside the AI assistant category; purpose-built for this workflow

You need a meeting summary formatted for a specific audience — executive summary vs. detailed notes→ Claude or ChatGPT — both handle format and tone adaptation well; paste transcript with formatting instructions

You want to ask questions about a meeting after the fact→ Claude — paste the full transcript and ask questions; large context keeps the entire meeting accessible in the session

When it matters

Action item extraction — AI reliably identifies and lists action items from meeting transcripts; reduces the chance of missed commitments
Decision logging — summarizing what was decided (and what wasn't) from a meeting is faster with AI than manual review
Multi-format summaries — generating an executive summary, a detailed team notes document, and a follow-up email from one transcript
Long meeting processing — a two-hour all-hands transcript is time-consuming to review manually; AI summarization cuts review time significantly
Catch-up for absent participants — generating a summary that a colleague who missed the meeting can read in 5 minutes

When it fails

Unclear audio transcripts — AI works with the transcript text; if the transcription has errors from unclear audio, the summary will reflect those errors
Context-dependent meaning — AI doesn't know your team's project history; references to 'the Q3 thing' or 'what we discussed last week' require context AI doesn't have
Attribution accuracy — AI may attribute statements to the wrong speaker if the transcript has inconsistent speaker labeling

How providers fit

Claude handles long meeting transcripts better than most alternatives — the large context window allows processing a full multi-hour meeting without truncation. Structured output formatting is strong: action item tables, decision logs, and follow-up email drafts from a single prompt.

ChatGPT is a reasonable alternative for standard-length meeting summaries. The integration ecosystem may allow connection to your note-taking or project management tools for more automated workflows.

AI with large context windows — handling long documents→AI assistants for teams→AI for daily productivity→