Yapping to PRDs: Claude Code & Obsidian¶

Summary (English)¶

Heinrich argues that meeting "yapping" should be treated as work itself, using Claude Code + Obsidian for transcript mining (not mere summarization) to exhaustively extract decisions, ideas, frameworks, and tacit knowledge, structuring it into a team knowledge base via the PARA system to achieve "vault state synchronization"—meetings reveal new reality, and the vault must update to match.

The Core Insight: Transcript Mining ≠ Summarization¶

The fundamental shift is from producing short summaries to exhaustive knowledge extraction. A 1-hour meeting doesn't yield 3-4 bullet points—it yields 20+ files: 7 feature ideas, 2 frameworks, 4 philosophies, 3 status updates, and multiple project hub updates.

This is mining, not summarizing. The goal is to capture everything valuable, not create a digestible overview.

Key distinction: - Summarization: "What were the main points?" - Mining: "What decisions were made? What ideas were mentioned? What philosophies were expressed? What changed?"

The Tacit Knowledge Problem¶

When people say LLMs "aren't there yet," it's usually a context problem. The knowledge exists somewhere but the model can't access it.

Some knowledge is locked in slide decks and PDFs (mostly solved with vision models). The harder problem is tacit knowledge—intuition that lives in your head and is hard to articulate because you don't even know you're doing it.

Heinrich discovered this when building automated note-taking systems: his note-taking philosophy was far more complex than he thought, with much happening subconsciously. He couldn't write it down because he didn't know he was doing it.

Transcripts help externalize this. When you talk through something, you naturally include: - Your reasoning path - Your uncertainties - The alternatives you considered - Deep explanations (because you're responding to another person)

All of that becomes capturable context.

The Architecture: PARA + Claude.md¶

The system relies on structured organization using the PARA framework (typically for personal knowledge management, but effective for team projects):

team-vault/
├── 01_Inbox/              # Entry point
├── 02_Projects/           # Active initiatives with defined goals
│   └── Project-Name/
│       ├── Project-Name.md (hub)
│       ├── Ideas/
│       ├── Meetings/
│       └── Docs/
├── 03_Areas/              # Ongoing responsibilities
│   └── Area-Name/
│       └── relevant docs
├── 04_Knowledge/          # Reference material
│   └── frameworks, tools, patterns
└── 05_Archive/            # Completed/inactive items
    └── Transcripts/

Why structure matters: - Without structure: a pile of meeting notes - With structure: a knowledge system Claude can build on

When Claude needs deployment setup info, it loads 03_Areas/Infrastructure/Deployment Pipeline. When it needs database schema, it loads 02_Projects/Recipe-Manager/Docs/Database Schema. When it needs to understand a past decision, it loads the meeting note.

CLAUDE.md defines vault philosophy: - How to navigate the vault - How to take notes - Folder purposes and organization principles - Note-taking philosophy (wikilinks, atomic notes, etc.)

Each folder has a README that goes deeper into that specific folder's philosophy.

The Command: Role + Instructions + Quality Standards¶

Heinrich shares his Claude Code command structure for transcript processing:

1. Define Role:

<role>
You are the knowledge architect for this vault.

You process meeting transcripts with exhaustive depth, mining every 
valuable insight, idea, philosophy, decision and status update.

Meetings are the primary sync mechanism between reality and vault state.

Missing content is unacceptable.
</role>

2. What to Look For (Explicit + Implicit): - Feature ideas ("wouldn't it be cool if...", "we could also...") - Project sparks (new tool concepts, standalone initiatives) - Frameworks (mental models, principles, ways of thinking) - Philosophies (team beliefs, working principles) - Decisions (explicit choices made, direction set) - Status updates ("X is now live", "Y is on hold") - Action items (tasks assigned, next steps) - Blockers (what is preventing progress)

Implicit content: - Ideas embedded in problem discussions ("the issue is we don't have X" → X is an idea) - Philosophies expressed as asides ("we always say..." → philosophy) - Decisions made by NOT deciding ("let's not wait for..." → decision)

3. Planning Before Execution:

Before writing anything, plan all extractions:

Example todo list for a complex meeting:
1. Archive raw transcript
2. Create meeting summary
3. Update project A status (now live)
4. Update project B status (blocked on X)
5. Create idea: feature X for project A
6. Create idea: feature Y for project A
7. Create idea: new tool concept Z
8. Add philosophy to team hub
9. Update project hubs with new decisions

4. Vault State Synchronization:

Meetings reveal new reality. The vault must update to match.

For each project mentioned: 1. Read the current hub to understand existing state 2. Identify discrepancies between hub and meeting discussion 3. Update status if changed (active → paused, prototype → live) 4. Add decisions to "key decisions" section 5. Add meeting link to "recent meetings" 6. Link new ideas in "ideas" section

5. Quality Standards:

Before marking processing complete, verify: - Read entire transcript (no skimming) - All explicit decisions captured - All implicit decisions captured - All feature ideas extracted (even casual mentions) - All frameworks/philosophies captured - All status changes reflected in project hubs - State sync complete (vault reflects post-meeting reality)

Red flags (processing incomplete): - Meeting summary is shorter than 1 page for hour+ meeting - Only 1-2 ideas extracted from brainstorming discussion - No state changes identified in status-heavy meeting

Example Output Quality¶

For a 1h 20m weekly coordination meeting: - 1 archived transcript - 1 comprehensive meeting summary - 7 feature idea notes across multiple projects - 2 framework notes - 4 philosophy additions to team hub - 3 project hub status updates - 9 hub updates across projects and areas - Total: 20+ files created or modified

The Philosophy: Yapping IS Work¶

The title captures the shift: "Yapping to PRDs."

Meetings used to be overhead. Now yapping IS work.

When Heinrich and his coworker discuss a project, they record it. An hour later, the transcript gets processed, and suddenly there's: - Documentation - Feature ideas in the backlog - Decisions captured with their reasoning - Project status updated - Notes about working philosophy extracted - Everything connected with wikilinks to prior notes

Ralph (presumably PM) gets his polished PRDs right after the meeting.

The enabling belief: If you structure knowledge properly, conversational exploration becomes productive output.

Why This Solves the Context Problem¶

Feature brainstorming becomes better when Claude has: - All the context - All the ideas you've had before - All the decisions you've made - All the competitor research - All the user feedback

Product steering becomes a real conversation when the context window is "decorated with everything relevant."

This is what Heinrich means by "ars contexta" (the art of context).

Implications¶

For teams: - Meetings shift from "necessary overhead" to "primary knowledge generation" - Documentation becomes a byproduct, not a separate task - Institutional memory becomes queryable and cumulative

For AI workflows: - Context is the bottleneck, not model capability - Structured knowledge beats ad-hoc prompting - Long-term context (vault) beats one-off requests

For knowledge work: - Tacit knowledge can be externalized through conversation - The best documentation is the reasoning path, not just the conclusion - Thinking out loud becomes an input format

總結（繁體中文）¶

Heinrich 主張將會議「閒聊」(yapping)視為工作本身，透過 Claude Code + Obsidian 進行 transcript mining（不是單純摘要），深度提取決策、想法、框架等隱性知識，並用 PARA 系統結構化成團隊知識庫，實現「vault state synchronization」——會議揭露新現實，vault 必須更新以匹配。

核心洞察：Transcript Mining ≠ Summarization¶

根本性的轉變是從產出簡短摘要到詳盡的知識提取。一小時會議不是產出 3-4 條重點——而是產出 20+ 個檔案：7 個功能想法、2 個框架、4 個哲學、3 個狀態更新，以及多個專案中心的更新。

這是挖礦，不是摘要。目標是捕捉所有有價值的內容，而不是創建一個易讀的概覽。

關鍵區別： - 摘要： 「主要重點是什麼？」 - 挖礦： 「做了哪些決策？提到哪些想法？表達了哪些哲學？發生了什麼變化？」

隱性知識問題¶

當人們說 LLM「還不夠好」時，通常是 context 問題。知識存在某處，但模型無法存取。

一些知識被鎖在簡報和 PDF 裡（視覺模型已大致解決）。更難的問題是隱性知識——存在你腦中的直覺，難以表達，因為你甚至不知道自己在做什麼。

Heinrich 在建立自動筆記系統時發現：他的筆記哲學比他想的複雜得多，很多過程是潛意識的。他無法寫下來，因為他不知道自己在做什麼。

Transcripts 幫助外化這些知識。 當你說話時，你自然會包含： - 推理路徑 - 不確定性 - 考慮過的替代方案 - 深度解釋（因為在回應另一個人）

這些都成為可捕捉的 context。

架構：PARA + Claude.md¶

系統依賴 PARA 框架的結構化組織（通常用於個人知識管理，但對團隊專案也有效）：

team-vault/
├── 01_Inbox/              # 入口
├── 02_Projects/           # 有明確目標的活躍專案
│   └── Project-Name/
│       ├── Project-Name.md (hub)
│       ├── Ideas/
│       ├── Meetings/
│       └── Docs/
├── 03_Areas/              # 持續的責任領域
│   └── Area-Name/
│       └── 相關文件
├── 04_Knowledge/          # 參考資料
│   └── 框架、工具、模式
└── 05_Archive/            # 已完成/不活躍項目
    └── Transcripts/

為什麼結構很重要： - 沒有結構：一堆會議筆記 - 有結構：Claude 可以建立的知識系統

當 Claude 需要部署設定資訊時，載入 03_Areas/Infrastructure/Deployment Pipeline。需要資料庫 schema 時，載入 02_Projects/Recipe-Manager/Docs/Database Schema。需要理解過去的決策時，載入會議筆記。

CLAUDE.md 定義 vault 哲學： - 如何導航 vault - 如何記筆記 - 資料夾用途和組織原則 - 筆記哲學（wikilinks、原子筆記等）

每個資料夾有 README 深入說明該資料夾的哲學。

命令：角色 + 指示 + 品質標準¶

Heinrich 分享了他的 Claude Code transcript 處理命令結構：

1. 定義角色：

<role>
你是這個 vault 的知識架構師。

你以詳盡的深度處理會議 transcripts，挖掘每一個有價值的洞察、
想法、哲學、決策和狀態更新。

會議是現實與 vault 狀態之間的主要同步機制。

遺漏內容是不可接受的。
</role>

2. 要尋找什麼（顯性 + 隱性）： - 功能想法（「如果...不是很酷嗎」、「我們也可以...」） - 專案火花（新工具概念、獨立計畫） - 框架（心智模型、原則、思考方式） - 哲學（團隊信念、工作原則） - 決策（明確的選擇、設定的方向） - 狀態更新（「X 現在上線了」、「Y 暫停了」） - 行動項目（分配的任務、下一步） - 阻礙（阻止進展的因素）

隱性內容： - 問題討論中嵌入的想法（「問題是我們沒有 X」→ X 是個想法） - 旁白表達的哲學（「我們總是說...」→ 哲學） - 不決策而做出的決策（「我們不等...」→ 決策）

3. 執行前規劃：

在寫任何東西之前，規劃所有提取：

複雜會議的 todo list 範例：
1. 歸檔原始 transcript
2. 創建會議摘要
3. 更新專案 A 狀態（現已上線）
4. 更新專案 B 狀態（被 X 阻擋）
5. 創建想法：專案 A 的功能 X
6. 創建想法：專案 A 的功能 Y
7. 創建想法：新工具概念 Z
8. 添加哲學到團隊 hub
9. 用新決策更新專案 hubs

4. Vault 狀態同步：

會議揭露新現實。Vault 必須更新以匹配。

對於每個提到的專案： 1. 讀取當前 hub 以理解現有狀態 2. 識別 hub 和會議討論之間的差異 3. 如果有變化則更新狀態（active → paused、prototype → live） 4. 添加決策到「關鍵決策」部分 5. 添加會議連結到「近期會議」 6. 在「想法」部分連結新想法

5. 品質標準：

在標記處理完成之前，驗證： - 讀完整個 transcript（不跳過） - 捕捉所有顯性決策 - 捕捉所有隱性決策 - 提取所有功能想法（即使隨意提及） - 捕捉所有框架/哲學 - 所有狀態變化反映在專案 hubs 中 - 狀態同步完成（vault 反映會議後的現實）

紅旗（處理不完整）： - 超過 1 小時的會議摘要少於 1 頁 - 從腦力激盪討論中只提取 1-2 個想法 - 在重狀態的會議中沒有識別出狀態變化

輸出品質範例¶

對於 1 小時 20 分鐘的每週協調會議： - 1 個歸檔的 transcript - 1 個全面的會議摘要 - 7 個跨多個專案的功能想法筆記 - 2 個框架筆記 - 4 個添加到團隊 hub 的哲學 - 3 個專案 hub 狀態更新 - 9 個跨專案和領域的 hub 更新 - 總計：創建或修改 20+ 個檔案

哲學：Yapping 就是工作¶

標題捕捉了這個轉變：「從閒聊到 PRD」。

會議曾經是開銷。現在閒聊就是工作。

當 Heinrich 和同事討論專案時，他們錄音。一小時後，transcript 被處理，突然就有了： - 文件 - backlog 中的功能想法 - 捕捉的決策及其推理 - 更新的專案狀態 - 提取的工作哲學筆記 - 所有內容用 wikilinks 連結到之前的筆記

Ralph（推測是 PM）在會議後立即得到精緻的 PRD。

促成的信念： 如果你正確地結構化知識，對話式探索就能成為生產性的輸出。

為什麼這解決了 Context 問題¶

當 Claude 擁有以下內容時，功能腦力激盪會變得更好： - 所有 context - 你之前有過的所有想法 - 你做過的所有決策 - 所有競品研究 - 所有用戶反饋

當 context window 被「用所有相關內容裝飾」時，產品引導成為真正的對話。

這就是 Heinrich 所說的「ars contexta」（context 的藝術）。

影響¶

對團隊： - 會議從「必要的開銷」轉變為「主要的知識生成」 - 文件成為副產品，而不是單獨的任務 - 機構記憶變得可查詢和累積

對 AI workflows： - Context 是瓶頸，不是模型能力 - 結構化知識勝過臨時 prompting - 長期 context（vault）勝過一次性請求

對知識工作： - 隱性知識可以透過對話外化 - 最好的文件是推理路徑，而不只是結論 - 大聲思考成為一種輸入格式

Key Quotes¶

"Meetings used to be overhead, now yapping is work"

"Without structure you just have a pile of meeting notes. With structure you have a knowledge system that Claude can build on."

"When people say LLMs aren't there yet, it's usually a context problem. The knowledge exists somewhere but the model can't access it."

"Transcripts help to externalize [tacit knowledge]. When you talk through something you naturally include your reasoning path, your uncertainties, the alternatives you considered."

"This is mining not summarizing. Missing content is unacceptable."

"Meetings are the primary sync mechanism between reality and vault state."

Related Concepts¶

• PARA System - Projects, Areas, Resources (Knowledge), Archive framework for organizing information
• Vault State Synchronization - Ensuring the knowledge base reflects current reality
• Tacit Knowledge - Implicit knowledge that's hard to articulate
• Ars Contexta - The art of context; decorating the context window with everything relevant
• Wikilinks - Bidirectional links connecting notes in Obsidian
• Knowledge Architect - Role of Claude in this workflow