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AI Document and Meeting Summarisation

The Problem

Information overload is a universal productivity problem. Long meeting transcripts, research papers, lengthy Slack threads, and contract documents all require reading in full to extract the key points — a task that consumes hours that could be spent on high-value work. Decision-makers are often too busy to read full reports but need to act on their contents.

How AI Helps

  1. 01.Summarises meeting transcripts into structured notes with key decisions, action items, owners, and deadlines — transforming an hour-long transcript into a two-minute read.
  2. 02.Condenses research papers, technical specifications, and legal documents into executive summaries calibrated for specific audiences (technical, business, legal).
  3. 03.Extracts actionable items from long Slack threads or email chains, surfacing the decisions and tasks buried in conversation noise.
  4. 04.Creates progressive summaries — a one-sentence abstract, a one-paragraph summary, and a detailed section-by-section breakdown — for content that different audiences need at different depths.
  5. 05.Identifies and flags contradictions or open questions in long documents where inconsistencies are easy to miss when reading quickly.

Recommended Tools

PBD
AI Prompt Builder

Build structured AI prompts with role, task, context, and output format fields.

TKN
AI Token Counter

Count tokens for GPT, Claude, Gemini, and LLaMA models.

AIP
AI Input Preprocessor

Full preprocessing pipeline for LLM input: trim, normalize, strip HTML, collapse whitespace, and truncate to context window.

ATC
AI Text Cleaner

Clean and sanitize text for LLM input by stripping HTML, normalizing Unicode, and collapsing whitespace.

Recommended Models

gpt-4oclaude-3-5-sonnet-20241022claude-3-5-haiku-20241022

Example Prompts

[prompt]
Text Summarisation Prompt

Summaries fail when the AI does not know what the reader already knows or what they need to do with ...

[prompt]
Data Analysis Prompt

Most AI data analysis prompts produce vague observations like "sales increased in Q2". This prompt f...

FAQ

How long can the input document be?
Claude 3.5 Sonnet supports up to 200,000 tokens (approximately 150,000 words or a 500-page book) in a single request. For longer documents, summarise in sections and combine the section summaries into a final summary.
Can AI summarise audio or video content?
Not directly, but with an intermediate step: transcribe the audio using Whisper (OpenAI) or a similar speech-to-text tool, then use an LLM to summarise the transcript. Many tools like Otter.ai and Fireflies combine both steps.
How do I ensure the summary preserves key numbers and data accurately?
Add to the prompt: "Preserve all specific numbers, percentages, names, and dates exactly as they appear in the source." Also verify key figures against the source — LLMs occasionally conflate similar numbers in long documents.

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