1.8 KiB
1.8 KiB
title, type, tags, last_updated
| title | type | tags | last_updated |
|---|---|---|---|
| Adaptive Tone | concept | 2026-04-17 |
Definition
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。
Core Mechanism
| 用户状态 | AI 语气策略 |
|---|---|
| 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." |
| 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." |
| 连续错失(≥3天) | 更长激励消息 + 询问是否调整目标 |
Why It Matters
- 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"
- 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
- 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
Implementation Example(OpenClaw)
When I confirm a habit, respond with a short encouraging message and
mention my current streak. Example: "Day 12 of morning workouts. Solid."
When I miss a habit, don't guilt-trip me. Just acknowledge it and remind
me why I started. If I miss 3 days in a row, send a longer motivational
message and ask if I want to adjust the goal.
Related Concepts
- Agent Personality — Adaptive Tone 是 Agent Personality 在习惯追踪场景的具体应用
- Streak Tracking — Adaptive Tone 消息中的数据来源
- Active Accountability — 需要 Adaptive Tone 才能真正实现主动问责