Prompt Engineering Context Transcripts

Split Transcripts for AI — Meetings in Order, Decisions at the End

Hours of meetings exceed any message limit. Split transcripts at speaker-turn boundaries, deliver in order, and extract decisions only after every meeting has arrived.

Overview

Transcripts are deceptively large and structurally fragile: a decision's context lives in the turns before it, and a blind split severs exactly that. The package splits transcripts at paragraph and turn boundaries, keeps the meetings in chronological order, and holds the extraction task until the final chunk — because "every decision, owner, and open question" can only be answered across ALL the meetings, not per fragment. This setup loads a multi-meeting transcript in Analysis mode with exactly that extraction task waiting at the end.

Workflow

  1. Split at speaker turns

    Turn boundaries are paragraph boundaries — context stays attached to its discussion.

  2. Keep chronology

    Meetings arrive in order; cross-meeting threads stay followable.

  3. Extract across everything

    The final-chunk task spans all meetings — decisions reversed in week three stay reversed.

Why This Works

  • Turn-aligned splits preserve the context decisions depend on
  • Chronological delivery keeps multi-meeting threads intact
  • End-triggered extraction sees reversals and follow-ups blind fragments miss

Best for

  • Teams mining recurring meetings for decisions
  • Interview and research-call transcript analysis
  • Anyone whose transcript answers missed later meetings

Not for

  • Summarizing one meeting for humans — that's the Structured Summary Prompt's meeting mode
  • Continuing a chat about the meetings in a new session — that's the Context Handoff Builder

Use cases

  • Processing weeks of meeting transcripts at once
  • Keeping decisions attached to their discussion context
  • Extracting owners and open questions across meetings

Tip: Save time by exploring related resources and tools that integrate with this workflow.

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