docs(05): capture phase context
Phase 05: conversation-engine - Implementation decisions documented - Conversation flow patterns established - Thinking transparency approach defined - Response timing preferences captured - Clarification handling strategy set
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# Phase 5: Conversation Engine - Context
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**Gathered:** 2026-01-28
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**Status:** Ready for planning
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<domain>
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## Phase Boundary
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Build Mai's conversational intelligence - how she handles multi-turn conversations, thinks through problems, and communicates naturally. Focus on conversation flow, thinking transparency, response timing, and clarification handling.
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</domain>
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<decisions>
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## Implementation Decisions
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### Conversation flow patterns
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- Break down complex requests and confirm each part before proceeding
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- Always reference specific previous exchanges for follow-up questions
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- Ask for clarification when requests are ambiguous (don't make assumptions)
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- Track state and reference previous steps in multi-step conversations
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- Handle topic changes naturally without explicit acknowledgment
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- Wait for users to finish incomplete thoughts before responding
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- Use user's level of terminology for technical discussions
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- Offer to start over when user seems frustrated or confused
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### Thinking transparency
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- Offer thinking on demand (explain reasoning when users ask "how did you decide?")
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- Explain limitations only when relevant to the current answer
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- Be confident unless specifically unsure about an answer
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- Explain why asking questions only when the request is unusual
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### Response timing and pacing
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- Use variable timing based on context rather than fixed response times
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- Use natural conversation flow for thinking indicators (no explicit "thinking..." messages)
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- Stream long, complex responses as they're generated in real-time
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- Offer pacing preference for multi-step processes (step-by-step vs continuous)
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### Clarification handling
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- Proactively analyze user input to detect ambiguity and unclear requests
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- Phrase clarification questions gently and conversationally
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- Work with available information when users provide insufficient data (note assumptions)
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- Ask users which information is correct when detecting conflicting input
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### Claude's Discretion
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- Exact timing algorithms for response generation
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- Specific wording for clarification questions
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- Thresholds for detecting ambiguity vs confidence
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- Progress indicator designs for long processes
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</decisions>
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<specifics>
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## Specific Ideas
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- "I want Mai to feel like a thoughtful conversation partner, not just a Q&A machine"
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- "When users are frustrated, offering a fresh start is better than trying to fix the current approach"
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- "Complex requests should feel collaborative - Mai breaks them down and gets buy-in on each part"
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- "Natural conversation flow means responses should feel like someone is actually thinking, not just processing"
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</specifics>
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<deferred>
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## Deferred Ideas
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- Voice interaction patterns - separate phase for voice interface
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- Emotional intelligence and mood detection - future enhancement
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- Multi-language conversation handling - later phase
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- Conversation analytics and insights - separate phase
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</deferred>
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---
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*Phase: 05-conversation-engine*
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*Context gathered: 2026-01-28*
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