Draft preference changes from trip feedback

Text exercise: Provide de-identified feedback, existing preferences and current trip constraints. List conflicts, contexts and suggestions for confirmation.

Execution environment and usage

AI / software

Text chat (ChatGPT, Claude or Gemini)

Where to operate

Text chat such as ChatGPT, Claude or Gemini, adapted to supplied inputs

Getting started

  1. For example, open claude.ai and start a new chat where the location, account and usage conditions permit.
  2. Paste the prompt below and its de-identified text inputs. Provide de-identified feedback, existing preferences and current trip constraints.
  3. Check the output against the original inputs; a draft does not connect or operate the original automation service.

Setup and plan requirements

Complete authorized text, synthetic records, field definitions or rules specified by the exercise. This chat route uses already-obtained text or excerpts. Later checks of pages, files or test results require separate human inspection; mark missing results unverified.

Prompt portability limits

Portable as an adapted draft/analysis exercise, not equivalent functionality or output to the original automation.

Usage limitations

Historical stack: Hermes Agent + source demo travel data + preference persistence; demo inputs are not live accounts. Not hands-on tested. Check current version, plan, regional and integration permissions; a prompt does not configure the workflow.

Environment sources

適用情境 / When to use

Provide de-identified feedback, existing preferences and current trip constraints. List conflicts, contexts and suggestions for confirmation. This text adaptation of a learning agent does not update memory or make bookings. The author explicitly identifies seeded profiles and trip fixtures.

步驟 / Steps

  1. Use anonymized feedback, existing preferences and current trip constraints.
  2. Separate one-off complaints from possible lasting preferences and mark context.
  3. Have the user confirm changes rather than treating one experience as universal.

提示詞 / Prompt

Compare [anonymized trip feedback] with [existing preferences]. Draft changes separating one-off circumstances, possible lasting preferences and conflicts. Explain effects on [current trip constraints], asking about uncertainty. Suggest only; do not persist memory, access private accounts, determine visa eligibility or book.

留意事項 / Cautions

  • Do not persist preferences or expand access automatically.
  • Exclude visa, health and identity information.

來源限制 / Evidence limits

This is not evidence of completed real trips; model output is not a visa determination.

流程說明 / Workflow note

These steps and prompts are original, untested exercises by this site, not the author’s verbatim workflow. Reported results do not guarantee exercise outcomes.

原始工具組合 / Original tool stack

Hermes Agent; Gemini; seeded demo profiles

Source checked: 2026-10-20

Hermes TravelOps: An Agent That Learns From Every Trip