Turning Claude into an AI TPM: Organizational Memory via Separate Instances

A Reddit user on r/ClaudeAI described building an AI 'Google TPM' by creating separate Claude instances for consulting projects and continuously feeding them: meeting notes, Slack chats, project documentation, emails, and org context.

How It Works

Initially, the system only summarized content. Over time, it evolved into a persistent TPM/chief of staff that remembers cross-organizational context. The workflow operates via natural language commands like:

Stakeholder X said Y in this meeting.

The AI then performs multiple actions automatically:

• Explain likely implications
• Identify conflicts and dependencies
• Suggest next steps
• Update project understanding
• Write follow-up documentation
• Generate workflow/process changes
• Preserve context for future decisions

The author notes that the system stopped feeling like 'chat with your docs' and started feeling like organizational memory. They realized that much operational work is about maintaining continuity across fragmented conversations.

Key Takeaway

This approach leverages Claude's context window and instance persistence to offload the cognitive burden of tracking cross-team dependencies and institutional knowledge. The practical implementation involves dedicated instances per project, fed with all communication artifacts.