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Stop AI Summaries from Making Things Up
The fidelity ladder: Balanced, High, Strict — and the six-rule battery that keeps a summary inside its source.
Structured Output
Structured Summary Prompt
Stop summaries that skip the point, pad the rest, and invent the context. Pick the source type, the section structure, and the fidelity level — and get a summary prompt with a fixed skeleton, length budgets, and no-invention rules.
What gets summarized, and for whom? E.g. "Summarize meeting transcripts for executives."
Output Structure Preview (live — the skeleton your prompt will enforce)
⚠ Action Items Only overrides the summary structure — the prompt returns the action list and nothing else.
Summary Prompt
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Customer Call Summary Prompt
Action items only: every commitment from the call — owner, task, deadline — straight into the CRM, with quotes for the promises that matter.
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Executive Summary Prompt
Summary, Why It Matters, What Happens Next — the executive summary contract for readers who will never open the source.
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Incident Report Summary Prompt
Timeline, Root Cause, Impact, Next Steps — post-mortem summaries where the sequence stays chronological and the severity stays as written.
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Summarize Legal Documents with AI
Parties, obligations, dates, penalties — contract summaries for business readers, with defined terms and legal language kept exact.
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Product Feedback Summary Prompt
Key Findings, Recommendations, Open Risks — collected feedback compressed for the roadmap discussion, with recommendations the source actually supports.
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Product Validation Decision Framework Prompt
Weigh the evidence against the target and decide — a synthesis that renders a hit / partial / miss verdict and turns it into an iterate, pivot, or scale recommendation, with the reasoning that holds it up.
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Research Paper Summary Prompt
Objective, Methodology, Findings, Limitations — paper summaries that keep the findings tied to the caveats that constrain them.
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Structured Summary Prompt — the Anatomy
The blocks a reliable summary prompt needs: source guidance, a fixed section skeleton, length budgets, fidelity rules, and quote handling.
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Summarize Email Threads with AI
Long thread in, key points out — newest-message-first reading so a newcomer can act without the archaeology.
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Summarize a Long Document
Build a prompt that turns a long article or report into faithful key points — compressing what is there, never adding outside knowledge or padding thin sections.
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Summarize Meeting Transcripts with AI
The board-grade version: strict fidelity, critical quotes preserved, decisions and commitments as the formal record.
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Summarize a Video Transcript
Build a prompt that turns a video, lecture, or podcast transcript into the key takeaways — attribution and chronology preserved, weight-bearing wording quoted.
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TL;DR Prompt
Build a prompt that produces a true tl;dr — the gist of a long piece in a few scannable points, brevity enforced, nothing invented.
Workflow
AI Production Incident Workflow
Work a live production incident in the right order — triage and stabilize first, then find the cause, then write the summary and postmortem — so the fire is out before the writeup begins.
Workflow
AI Long Document Analysis Workflow
Get AI to actually read a document that's too big for one prompt — fit it to the model, split it cleanly, package the parts, and analyze them without losing the thread.
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AI Product Validation Workflow
Find out whether the thing you shipped actually worked — define the success metric, plan the measurement, classify the real evidence, then render a verdict and an iterate / pivot / scale decision.
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AI Research Synthesis Workflow
Pull a single coherent view out of a stack of sources — package them together, summarize each faithfully, then have AI synthesize across them instead of one at a time.
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AI Meeting Notes Workflow
Turn a meeting transcript into notes people actually use — a faithful summary, the action items pulled out and assigned, and a clean shareable format.
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AI MVP Planning Workflow
Cut a product idea down to the smallest first release that proves the core value — separate the real must-haves from everything that can wait, then define the MVP and its success signal.
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AI Customer Feedback Analysis Workflow
Turn a pile of reviews, surveys, or support comments into themes and priorities — extract the real signal, classify it by theme and sentiment, then summarize what's worth acting on.
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AI Customer Support Workflow
Run inbound support the same way every time — triage and route the ticket, pull the details that matter, draft a reply in a consistent voice, and log the resolution for the record.
Project
Build an AI Meeting Assistant with AI
The full path to an AI meeting assistant — define the use case, turn transcripts into structured notes, extract decisions and action items, classify follow-ups, write a shareable summary, evaluate accuracy, then ready it for the team.
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Build an AI Content Engine with AI
The full path to a content operation that runs, not a pile of posts — set the editorial strategy, research the topics, build a reusable template, then produce and QA structured pieces on repeat.
How it works
Describe the summary goal, pick the source type — meeting transcript, email thread, article, research paper, incident report, legal document, support conversation, or general text — and choose the structure: Executive Summary, Key Points, Sectioned Summary, Action Items, or Findings & Recommendations. The source type changes the prompt's reading guidance, its emphasis, and the sections of a Sectioned Summary (a meeting yields Key Decisions and Open Questions; an incident yields Timeline, Root Cause, and Impact). Set the length budget (concrete sentence counts, not "be concise"), the fidelity level — the tool's heart, with Strict adding the full no-invention battery — plus quote handling and an action-item mode. The live preview shows the exact section skeleton your prompt will enforce. Click Generate Summary Prompt and paste the result above any text you want summarized. Nothing leaves your browser.
Best for
- Summaries with fixed sections, length caps, and no-invention fidelity rules
- Comparable summaries across many documents
- Stopping a summary from adding facts that are not in the source
Not for
- Free-form summarizing with no structure — a plain prompt is enough
- Producing a formatted document with headings and tables — that is the Markdown Output Builder
Use cases
- Meeting transcripts into decision-and-action records executives actually read
- Incident reports into post-mortem summaries with the timeline intact
- Research papers and articles into faithful findings-plus-limitations digests
- Email threads and support conversations into handoff-ready briefs
Pro tips
- Strict Fidelity's most valuable line is the least obvious one: "If a section has no supporting content in the source, write 'Not covered in the source'." An honest gap beats a filled-in blank — that's where summary hallucinations live.
- Length budgets are per section and concrete (1–2 sentences each on Brief). Models obey countable budgets far better than adjectives like "concise".
- Use Preserve Critical Quotes for legal, incident, and board contexts — a paraphrased commitment is a changed commitment.
- Action Items Only turns the tool into a commitment extractor for transcripts: no summary, just owner — task — deadline. Pair it with Brief and a meeting source.
FAQ
Does this tool summarize my text?
No — it generates the summary PROMPT. You define how summaries should be structured (sections, length, fidelity, quotes), generate once, and reuse the prompt on every transcript, report, or thread. The consistency is the point: the same skeleton and rules every time, instead of whatever shape the model feels like today.
How is this different from the Markdown Output Builder?
Direction. The Markdown Output Builder structures NEW documents the model writes. This tool compresses EXISTING content: every rule in the prompt — fidelity, quotes, "do not add missing context" — exists because there's a source text the summary must stay faithful to. A document generator has no source to be faithful to.
Isn't pulling action items out of a meeting just extraction?
Close, and the boundary is worth knowing: the Extraction Prompt Generator pulls discrete VALUES into named fields (owner, date, task as data). This tool's action-item mode produces a readable SECTION inside a summary — prose for humans, not fields for parsers. If a system consumes the output, extract; if a person reads it, summarize.
What exactly does the fidelity level change?
The FIDELITY RULES block. Balanced allows light interpretation in service of compression. High Fidelity bans outside knowledge and pins numbers, dates, and names to their original form. Strict adds the full battery: no invented information, no unsupported conclusions, no added context, only what appears in the source — and empty sections say "Not covered in the source" instead of getting filled.
Why does the source type matter for a summary?
Because reading a transcript is not reading a contract. The source type sets reading guidance ("the final statement of a topic usually reflects the decision" for meetings, "prefer the newest messages" for threads), the emphasis (decisions vs findings vs timeline), and the sections of a Sectioned Summary — a research paper gets Objective/Methodology/Findings/Limitations, an incident gets Timeline/Root Cause/Impact/Next Steps.
When should I preserve quotes in a summary?
Whenever exact wording carries weight: commitments ("we will deliver by March 1"), numbers, legal language, and disputed claims. Paraphrase changes meaning in exactly these places. Important Quotes keeps the headline statements verbatim; Preserve Critical Quotes adds the rule that such statements must never be paraphrased at all.