USE CASE
The scenario: Customer feedback arrives in fragments across support tickets, NPS surveys, and interview notes. Manually reading and tagging hundreds of entries to find patterns takes hours.
What they do: The rep connects Intercom, uploads NPS CSVs and interview PDFs. Claude reads all sources simultaneously, finds recurring themes, identifies urgency signals, and builds a themed Excel workbook with source attribution.
The result: Hours of manual feedback synthesis become a 10-minute structured workbook.
A practical AI workflow for B2B sales — the prompts below run this play end to end, in Claude, ChatGPT, Gemini, or Copilot.
2,900+ TESTED PROMPTS · 15 SALES STAGES
Every prompt in the library is vetted, tested, and built for a real sales job — like this one.
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