# 🤖 Day 7: Research and share prompt engineering techniques

**URL:** <https://club.ministryoftesting.com/t/day-7-research-and-share-prompt-engineering-techniques/74862>\
**Category:** 30 Days of Testing\
**Tags:** 30-days-of-testing, ai, 30-days-of-ai-in-testing, prompt-engineering\
**Created:** [7 March 2024 00:00 UTC](https://club.ministryoftesting.com/t/day-7-research-and-share-prompt-engineering-techniques/74862 "2024-03-07T00:00:40Z")\
**Posts on this page:** 1\
**Showing post:** 16

<div class="post-metadata">

**Author:** ![lisacrispin](https://sea2.discourse-cdn.com/flex020/user_avatar/club.ministryoftesting.com/lisacrispin/32/556_2.png) [@lisacrispin](https://club.ministryoftesting.com/u/lisacrispin)\
**Post date:** [7 March 2024 16:57 UTC](https://club.ministryoftesting.com/t/day-7-research-and-share-prompt-engineering-techniques/74862/16 "2024-03-07T16:57:56Z")

</div>

I learned this from Rachel Kibler - be aware of anchoring bias when using a LLM tool like ChatGPT. It can help us break our own anchoring bias - or it can get its own anchoring bias and lead us astray. Her tips:

Start with your own ideas  
Read through everything the tool sends you  
Don’t trust everything you read  
Ask multiple times in multiple ways

I’ll work up an example later today if I find time!  
A resource on prompt engineering someone shared with me recently: [Prompt engineering](https://docs.anthropic.com/claude/docs/prompt-engineering)

---

_[View the full topic](https://club.ministryoftesting.com/t/day-7-research-and-share-prompt-engineering-techniques/74862)._