In my previous post, AI Code Generation to upend Product Management, I discussed the importance of prompt engineering.
Thanks to a recent edition of Lenny's Podcast, here are some recommendations about how to most effectively deploy prompt engineering
Tip 1. Examples!
As well as instructing the AI for your desired outcome, provide examples as well.
Tip 2. Decomposition
Decomposing a project into smaller tasks first is much more effective net-net. ie
Step 1. 'Tell me the significant steps required to build XYZ'
Step 2. Review those steps
Step 3. 'Now use those steps to build XYZ'
is more effective than simply 'Build XYZ'.
Tip 3. Self Criticism
Asking the AI to critique the results that you have previously requested (self-criticism) can lead to smarter, more accurate outputs ie between Step 1 and Step 2 above, add this step:
Step 1b: 'Please analyse and critique the steps that you have just outlined.'
