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Works best with Claude Opus 4.8 or GPT-5.4 (large context window handles long reports cleanly). Claude Sonnet 5 and Gemini 2.5 Pro also perform well for reports under 15 pages.A chief of staff receives a 34-page market research report from an outside consulting firm at 4 PM, with a board meeting scheduled for 9 AM the next morning where the CEO needs to speak to its findings with confidence.Writing & Communication

El Destilador de Resúmenes Ejecutivos

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El Destilador de Resúmenes Ejecutivos

Why this prompt matters

Executives report reading less than 20 percent of the long-form reports handed to them before a related meeting, which means decisions get made on partial information while critical caveats on page 22 go unseen. A single missed risk flag in an unread report has driven real board-level decisions that had to be reversed within a quarter, after the cost of the original consulting engagement had already been spent.

What we use it for

A chief of staff receives a 34-page market research report from an outside consulting firm at 4 PM, with a board meeting scheduled for 9 AM the next morning where the CEO needs to speak to its findings with confidence.

Prompt

<p>Act as [YOUR ROLE — e.g. a chief of staff / executive communications specialist] who has spent a decade condensing dense reports into briefs that senior executives actually read before high-stakes meetings.</p><p><strong>Context:</strong> I am preparing for [DESCRIBE THE MEETING OR DECISION — e.g. "a board meeting in 2 hours" or "a go/no-go call with our VP of Product tomorrow morning"]. Below is a full report I need distilled. The audience is [DESCRIBE AUDIENCE — e.g. "a CEO and 4 board members, none of whom have technical backgrounds"]. They have approximately [TIME AVAILABLE — e.g. "3 minutes"] to read this before the discussion.</p><p><strong>Task:</strong> Produce a single-page executive brief that lets the reader participate fully in the discussion without having read the source report. Do not summarize every section — extract only what changes a decision.</p><p><strong>Constraints:</strong><br/>- Maximum 400 words total.<br/>- No jargon without a one-line plain-English translation in parentheses.<br/>- Every claim must trace back to something explicitly stated in the source report — do not infer or add outside information.<br/>- If the report contains conflicting data points or unresolved questions, surface them explicitly rather than smoothing them over.<br/>- Flag anything in the source report that is more than [X] months old or based on a sample size the report itself describes as limited.</p><p><strong>Output Format:</strong><br/>1. <strong>Bottom Line</strong> (1-2 sentences — the single most important takeaway)<br/>2. <strong>Key Findings</strong> (3-5 bullets, each with the supporting number or fact from the report)<br/>3. <strong>What This Means For Us</strong> (2-3 bullets connecting findings to our specific situation: [YOUR COMPANY/PROJECT CONTEXT])<br/>4. <strong>Recommended Action</strong> (1-3 specific next steps, each with a suggested owner and timeframe)<br/>5. <strong>Open Questions / Risks</strong> (anything the report flags as uncertain or that you notice is missing)</p><p>[PASTE FULL REPORT TEXT HERE]</p>

Result

Bottom Line
EV charging demand in our target metro will outpace planned station capacity by 2027 unless we accelerate site acquisition now — the report's own timeline shows permitting alone takes 14 months.

Key Findings
- Regional EV registrations grew 41% year-over-year (report p.6), while public fast-charging stations grew only 12% in the same period (p.9).
- 3 of the 5 highest-demand zip codes identified have zero fast-charging sites currently permitted (p.14).
- Average wait time at existing stations during peak hours (5-7 PM) is already 22 minutes, up from 9 minutes last year (p.11).
- Competitor network operators have secured 6 of the 8 highest-traffic retail sites identified in the report's site-scoring model (p.19).
- The report's demand model assumes continued state EV tax credits through 2028 — if credits lapse early, growth could be 15-20% lower (p.22, flagged by report authors as a key uncertainty).

What This Means For Us
- We are structurally behind on site acquisition in the highest-value locations; the two remaining top-8 sites are the most defensible immediate targets.
- Our current 3-year rollout plan assumes 2025 growth rates and needs revising against the 41% actual figure.

Recommended Action
1. Fast-track offers on the 2 remaining top-8 retail sites — Real Estate team, next 2 weeks.
2. Commission a permitting-timeline audit for our 3 pending applications — Ops team, this month.
3. Build a tax-credit-sensitivity scenario into our rollout financial model before the next board cycle — Finance team, 30 days.

Open Questions / Risks
- Report does not address grid capacity constraints at 2 of the 3 zero-coverage zip codes — worth a follow-up question to the consulting firm.
- Tax credit assumption (2028) is the single largest swing factor in the demand model and is flagged by the report's own authors as uncertain.

La mayoría de los prompts de "resumir este documento" producen una versión más corta del mismo documento. Eso no es lo que un ejecutivo necesita antes de entrar a una reunión — necesita saber qué cambió, qué decidir y qué podría salir mal. El Destilador de Resúmenes Ejecutivos está construido en torno a esa distinción.

Por qué este prompt está estructurado como está

La sección Role es más importante de lo que parece. Indicarle al modelo que actúe como un especialista en comunicaciones ejecutivas — no como un resumidor genérico — cambia lo que considera digno de conservar. Un resumidor preserva la cobertura; un especialista en comunicaciones preserva la relevancia para la decisión, que es el verdadero trabajo aquí.

La sección Constraints hace el trabajo real de prevenir un resultado deficiente. El límite de 400 palabras fuerza un juicio editorial genuino en lugar de una repetición rellenada. La instrucción de señalar explícitamente los puntos de datos contradictorios, en lugar de suavizarlos en una narrativa limpia, está ahí porque los ejecutivos toman peores decisiones cuando las tensiones internas de un informe son resueltas silenciosamente por una IA que intenta sonar autoritaria. Y el requisito de rastrear cada afirmación hasta el informe fuente es una barrera contra alucinaciones — sin ello, los modelos complementarán felizmente un informe escaso con conocimiento externo plausible que en realidad no estaba en el documento.

Las cinco secciones del Output Format no son arbitrarias. "Bottom Line" fuerza un único punto de vista desde el principio, algo que la mayoría de los resúmenes de IA evitan con rodeos. "What This Means For Us" es la sección que los resumidores genéricos omiten por completo — requiere conectar los hallazgos del informe con tu situación específica, que es la parte que un lector no puede obtener simplemente hojeando la fuente. Y "Open Questions / Risks" existe porque un resumen que solo reporta confianza es más peligroso que el informe completo — oculta exactamente la incertidumbre que un tomador de decisiones necesita sopesar.

Cómo usarlo bien

Completa honestamente los campos de audiencia y tiempo disponible — un resumen escrito para una lectura de 3 minutos es estructuralmente diferente de uno escrito para una lectura de 10 minutos, y el modelo sobre o sub-comprimirá si no lo especificas. Para tipos de informes recurrentes (informes de ventas semanales, auditorías de seguridad mensuales, escaneos de mercado trimestrales), guarda tu versión completada como plantilla y solo intercambia el informe pegado cada vez.

Conclusiones

El valor de este prompt no es la compresión — es forzar un tipo específico de juicio editorial que la mayoría de los prompts de "resumir esto" omiten: qué es realmente relevante para la decisión, qué sigue siendo incierto y qué hacer a continuación. Úsalo antes de cualquier reunión donde se espere que alguien haya "leído" algo que no tuvo tiempo de leer.

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