OpenVibe Research
·2 mins
AI Deep Dive — 团队对话中, 任何人可以和 AI 深入探索任何论点, 压缩结果回流团队
GitHub: vibeaios/openvibe
Phase 1 + 1.5 Research Complete / Phase 2 Implementation Next
| Document | Summary |
|---|---|
| Product Core Reframe | 从 “Fork/Resolve” 到 “AI Deep Dive” — 概念漂移修正, 产品核心重新定义 |
原 “fork/resolve” 概念已被重新定义。核心是: 1 个人 + AI 深度思考 → 压缩结构化输出 → 团队 thread. 不是多人 side-discussion.
| Document | Result |
|---|---|
| Slack Pain Ranking | 7 个 Slack 痛点按 频率 x 严重性 x AI可解决性 排名. AI summary = #1, Deep Dive = 差异化. |
| Fork Necessity Analysis | 1,097 Slack threads 分析 — 55% partial resolution, topic drift = 22pt drop. 问题真实存在. |
| Resolution Prompt Design | AI 摘要 prompt 5 轮实测 — 4.45/5 (89%). Risk #1 降级. |
| Adoption Wedge Analysis | 哪些 Slack 对话最容易迁移? Product direction decisions = 最佳切入点. |
| Section | Description |
|---|---|
| Product Overview | 产品上下文、愿景、战略思考 — Project Overview, Product Reasoning, Intent, Decisions, Framework Diagram |
| Architecture | 技术架构 — 系统概览、数据模型、API、Agent Runtime、Monorepo |
| Design | M1-M6 模块设计 + Validation Docs |
| Technical Specs | 跨模块技术规格 — Configuration, Device, Verticals |
| Research | Phase 1 + 1.5 完整研究 (19+ docs) — R1-R7, Competitive Landscape, Synthesis, Due Diligence |