When foundational prompting is not enough, these eight tactics help teams move from occasional wins to repeatable results.
Few-shot learning
Include input/output pairs that demonstrate the pattern you want the model to follow.
Style unbundling
Separate tone, structure, and content into explicit instructions instead of one vague style request.
Emotion prompting
Signal stakes and quality expectations — carefully — to increase thoroughness on high-importance tasks.
Synthetic bootstrap
Have the model generate training examples, then refine prompts using those examples.