Repeating your brand brief? Keep it in a ChatGPT project
Store approved product facts, tone and examples in a ChatGPT project to draft copy for editing, then verify every product claim.
Sales, Marketing & Support · 全民AI / AI for Everyone
Draft CRM fields and follow-up copy from a sales call
Text exercise: Supply a de-identified call transcript and CRM field definitions. Draft field values and follow-up copy using confirmed facts only.
Ad-report numbers disagree? Check the formulas
Supply a de-identified report, currency and reporting window to compare each metric's inputs and formulas before interpreting results.
Classify support requests and check draft commitments
Draft replies from de-identified messages and approved policies without inventing refunds, deadlines or account actions.
Review company fit and draft factual outreach
Text exercise: Provide test companies, public information and product-fit criteria. List dated evidence, matches and unknowns, then draft factual outreach.
Choosing article topics? Separate evidence from guesses
Supply a topic, audience and obtained sources to draft a topic-evidence table, leaving unverifiable search volumes unknown.
Keep ad copy tied to facts you can support
Supply approved product facts, platform and length to draft alternative ad copy with evidence for every product claim.
Dashboard totals look wrong? Check rows before charting
Supply synthetic CSV data, field definitions and duplicate rules to draft checks and totals that distinguish rows from unique items.
Support reply might expose internal details? Draft two versions
Give a text AI synthetic error logs and redacted investigation notes to draft an internal escalation and customer-facing draft for human review. This is a drafting exercise; the source used Cursor.
Low-click page title? Check search intent before rewriting
Give a text AI query metrics, page content and existing titles to draft content-faithful title proposals and an evaluation plan for human review. This is a drafting exercise; the source used Claude Code.
Check whether channel data can answer the question
Provide synthetic channel metrics, field definitions, a time range and an analysis question. Map required data to available fields and request only missing essentials.