pref0 extracts many types of preferences from conversations. See how each type is detected, scored, and compounded over time.
Code style is deeply personal — language, framework, naming conventions, file structure. pref0 extracts these preferences from corrections and compounds them into a reliable profile.
Tone, length, format, structure — everyone communicates differently. pref0 learns how each user wants their AI agent to respond and compounds these preferences over time.
Developers and teams have strong opinions about tools — package managers, deployment targets, databases, CI systems. pref0 learns these from corrections so agents suggest the right tools every time.
How output is formatted matters as much as the content itself. pref0 learns whether users prefer markdown, JSON, bullet points, tables, or other formats and applies these preferences consistently.
Development workflows involve choices at every step — testing, branching, deployment, review. pref0 learns how each developer or team works and ensures agents follow the same workflow.
Your users are already teaching your agent what they want. pref0 makes sure the lesson sticks.