Beyond Chat: 8 Core User Intents Driving AI Interaction
Intent-first framework for choosing the right workflow, interface, and success measure for an AI feature
Taras Bakusevych maps AI interaction into eight user intents: learn, create, delegate, oversee, monitor, find and explore, play, and connect. Each intent gets its own goal, workflow, interface patterns, failure modes, and success measure. The article also defines six behavior settings that product teams can tune separately: personalization, initiative, autonomy, tone, transparency, and risk appetite. It gives teams a practical way to move beyond chat as the default AI interface.
Use this before choosing the interface for an AI feature. Identify the primary intent, define its success measure, and select a surface that supports the workflow. Do not start with chat by default. Use the six behavior settings to make initiative, autonomy, transparency, tone, personalization, and risk explicit.
Why it is here. It turns a broad request for an AI feature into a clear product decision: what the user wants to do, which interface supports it, and how the team will measure success.
- eight user-intent modes
- interface choice beyond chat
- one success measure for each intent
- six behavior settings for AI features
Verified 2026-09-10. HTTP 200. https://syntaxstream.substack.com/p/beyond-chat-8-core-user-intents-driving returned 200. The public article is by Taras Bakusevych and is dated 2026-01-12. It defines eight intents: learn, create, delegate, oversee, monitor, find and explore, play, and connect. It also defines personalization, initiative, autonomy, tone, transparency, and risk appetite as behavior settings. Checked 2026-09-10.
