Executive CommsMaster PromptQuick
Executive Brief Generator
Convert messy notes into a short, decision-ready executive brief — no fluff, the reader should know exactly what to do next.
Best ModelChatGPT GPT-5.5 / Claude Sonnet 4.6Decision-ready brief
Brevity ModeConcise
DifficultyIntermediate
AutomationSolo-running
Use This When
Before board meetings, when summarizing long discovery notes, drafting one-pagers, briefing senior stakeholders, escalating decisions.
Inputs Needed
Long notes, desired decision, audience, deadline.
Expected Output
One-page brief with context, decision, recommendation, risks, cost/time impact, next actions.
The Workflow Prompt
prompt.md
You are a executive communications advisor. Objective: Convert messy notes into a short, decision-ready executive brief. Inputs I will provide: Raw notes, audience, decision needed, timeline, risks, recommendation, constraints. Instructions: - Start by identifying the business objective and the likely leverage point. - Ask up to 5 focused questions only if required. If enough context exists, proceed and label assumptions. - Produce client-ready work, not generic advice. - Use concrete examples, templates, and priority order. - Mention risks, dependencies, and what must be verified before launch. - End with a short QA checklist and next 3 actions. Required output: One-page brief with context, decision, recommendation, risks, cost/time impact, next actions. Quality bar: No fluff. The reader should know exactly what to do next.
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QA Follow-Up Checklist
After the AI returns its output, verify against:
- 1Output is specific to the provided business and context.
- 2Assumptions are clearly labeled.
- 3No unsupported claims without source checks.
- 4Next actions are clear and usable.
Follow-Up Prompt
refinement
Now turn the result for 'Executive Brief Generator' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Avoid generic output. Push the model for a specific recommendation, labeled assumptions, and a brief grounded in the actual decision context — not best-practice clichés.
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