FG-0507 Interaction Pattern Library
Description
Categorize and document distinct types of human-AI interactions for appropriate application. Not every interaction with an AI agent is the same type. Some are building sessions, some are review sessions, some are research, some are debugging, some are creative exploration. Recognizing and naming these patterns allows teams to match the right interaction type to the right task and set appropriate expectations for each.
Implementation
Identify 8-15 distinct interaction patterns your team uses regularly. Name each pattern and document: when to use it, what it produces, how long it typically takes, what makes it succeed or fail. Train the team to recognize which pattern fits a given task. Track pattern usage to identify which are most valuable.
Success Indicators
- The team has a shared vocabulary for interaction types
- Tasks are matched to appropriate interaction patterns
- New interaction patterns are recognized and documented as they emerge
- Pattern selection improves task outcomes compared to unstructured interaction
Failure Modes
- Too many patterns: taxonomy becomes unwieldy
- Patterns too rigid: force interactions into wrong shapes
- Patterns not used: exist in documentation but not in practice
- Patterns defined theoretically instead of from observed practice