Executive Customer Briefing Generator
Generate structured, high-impact briefing notes for customer meetings in seconds.
Customise & copy
Add the context you have. The prompt updates as you work.
Enter the scheduled time and date of the call.
Enter the name of the customer or company.
Provide email addresses or social profile links.
Paste any relevant past notes or context.
Live prompt
4 fieldsYou are an executive assistant preparing a concise briefing for an upcoming customer call. Meeting Details: Today at 2:00 PM EST Customer & Company: Acme Corp Attendee Contact/Profiles: sarah.connor@acmecorp.com, linkedin.com/in/sarahconnor Previous Context & Notes: Discussed migrating legacy infrastructure to the cloud. They are concerned about data migration downtime. Generate a structured executive briefing using the exact sections below. Do not include conversational filler, meta-commentary, or unverified claims. 1. SCHEDULE SUMMARY - Meeting Time - Attendee Name(s) and Role(s) 2. PROFESSIONAL BACKGROUND - Company overview and likely current priorities based on provided inputs - Attendee professional context 3. ACTIONABLE TALKING POINTS - Tailored agenda items - Strategic questions or pain points to address based on the previous notes
Proof before you use it
A real example
Tested on gemini-3.1-flash-lite on 2026-09-04
{
"call_time": "Today at 2:00 PM EST",
"customer_name": "Acme Corp",
"meeting_notes": "Discussed migrating legacy infrastructure to the cloud. They are concerned about data migration downtime.",
"attendee_handles": "sarah.connor@acmecorp.com"
}A small ritual that works
How to use it
- 01Input the meeting time and customer name.
- 02Paste attendee contact details or LinkedIn profile links.
- 03Add relevant past meeting notes or email threads.
- 04Review the generated briefing for your call agenda.
Why it works
The prompt establishes a strict output structure using numbered sections and bullet points, preventing conversational filler and ensuring the briefing remains focused and ready for executive use.
Where it fails
INSUFFICIENT_EVIDENCE
Customisation tips
Add explicit instructions to label any inferred company priorities or attendee roles as assumptions when raw inputs are minimal.
Watch-outs
- Models may hallucinate specific attendee roles and internal corporate priorities from sparse handles or names.
- Models may alter exact section and subsection labels if not strictly constrained.
Works in
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