Write personal wedding thank-you letters that fit the paper
At a glance
Stephen Price used recipient-specific details and repeated review in ChatGPT to produce wedding letters within a stationery length constraint. This workflow is listed under wedding, personal-writing, letters.
- Agents / tools
- ChatGPT, Data Analysis
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What they did
1) Prepare the recipient list, personal details for each relationship, a sample letter expressing the desired tone and the character limit imposed by your stationery. Open ChatGPT with data-analysis capability for the counting step. 2) Refine the sample, then provide recipient details in the same structured format for every person. Request a personalized draft matching the sample and target length. 3) Review and revise the wording. Explicitly request the length check before approving the letter so the model does not advance prematurely. 4) Have it count characters and rewrite until within the specified tolerance; the author used 5%. 5) Approve that letter and move to the next recipient. If generation stops, ask it to resume the remaining sequence.
How it went
The author reports that family members praised the letters and found them emotionally meaningful.
Worth knowing
Approval sometimes advanced the workflow before counting. The author found that only about half the requested revisions materially improved the wording.
