Fine-Tuning
Further training an AI on your own examples so it more naturally matches your style, terms, and way of working.
Fine-tuning is taking a general AI model and training it further on a focused set of your own examples — your past emails, your product descriptions, your support replies — so it absorbs your patterns. The result is a version that leans toward your voice and vocabulary without being reminded every time.
It's more involved than simply giving the AI instructions or reference material, and it isn't always necessary — often clear prompts plus your live data get you most of the way. Fine-tuning earns its keep when you need consistent, at-scale output that reliably sounds like you across thousands of pieces.
Why it matters
It's one way to make AI output consistently sound like your business — though clear instructions and your own data often get there with far less effort.