Customer support agents handle repeat interactions. pref0 learns each customer's communication style, preferred resolution methods, and product preferences across tickets.
Real corrections pref0 extracts and compounds across conversations.
"Just give me the steps, skip the explanation"
response_style: concise_steps0.70"I prefer email over phone calls"
contact_method: email0.70"Send me the documentation link, I can figure it out"
support_style: self_service0.40"Please use my company name, not my first name"
address_preference: company_name0.70"Always include order numbers in your responses"
response_format: include_order_numbers0.40"I already know the basics, skip the intro"
expertise_level: advanced0.40My order #4521 hasn't arrived yet
I'm sorry to hear that! Let me look into your order. I can see it's currently in transit and should arrive by Thursday. Would you like me to explain our shipping process?
No, just tell me the tracking number. I don't need the explanation.
pref0 extracts the correction from this conversation and adds it to the user's preference profile. Next time, the agent gets it right.
Some customers want concise answers, others want detailed explanations. pref0 learns which.
Skip the parts the customer doesn't need. Get to the answer in their preferred format.
Preferences persist across agents and channels. The customer never has to re-explain how they like to be helped.
When the agent already knows the customer's style, fewer interactions feel frustrating.
Your users are already teaching your agent what they want. pref0 makes sure the lesson sticks.