44 lines
1.8 KiB
Markdown
44 lines
1.8 KiB
Markdown
---
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title: "Adaptive Tone"
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type: concept
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tags: []
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last_updated: 2026-04-17
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---
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## Definition
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AI Agent 根据用户表现动态调整语气和沟通策略的机制。连续成功时给予鼓励（encouraging），连续失败时保持温和坚持（gently persistent），而非使用统一的模板化消息。
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## Core Mechanism
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| 用户状态 | AI 语气策略 |
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|---------|-----------|
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| 连续完成（高连续天数） | 简短肯定 + 引用连续记录，例："Day 12 of morning workouts. Solid." |
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| 偶发错失（1-2天） | 温和提醒 + 初心提醒，例："Just acknowledge it and remind me why I started." |
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| 连续错失（≥3天） | 更长激励消息 + 询问是否调整目标 |
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## Why It Matters
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- **静态提醒容易被忽视**：Push 通知、每日模板消息最终会被大脑过滤为"噪音"
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- **个性化消息具有真实激励效果**："Day 15, don't break it now" 这类引用具体连续记录的消息会触发心理承诺一致性效应
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- **避免羞辱感**：连续错失时不要 guilt-trip（内疚轰炸），保持支持性语气才能让用户持续参与
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## Implementation Example（OpenClaw）
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```
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When I confirm a habit, respond with a short encouraging message and
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mention my current streak. Example: "Day 12 of morning workouts. Solid."
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When I miss a habit, don't guilt-trip me. Just acknowledge it and remind
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me why I started. If I miss 3 days in a row, send a longer motivational
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message and ask if I want to adjust the goal.
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```
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## Related Concepts
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- [[Agent Personality]] — Adaptive Tone 是 Agent Personality 在习惯追踪场景的具体应用
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- [[Streak Tracking]] — Adaptive Tone 消息中的数据来源
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- [[Active Accountability]] — 需要 Adaptive Tone 才能真正实现主动问责
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## Source
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- [[habit-tracker-accountability-coach]]
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