Topic: Gmail

2 chapters across the catalog

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK
β€’ 4:55 - 7:52

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK

Prompting and Context Engineering with AI

Prompting in AI is defined as clarifying what is desired from the AI model, similar to providing specific details in a conversation to avoid ambiguity. Context engineering, a more advanced concept, involves giving the AI model sufficient background information and tools (like Gmail MCP or Browser User) to effectively solve a problem, rather than letting it figure things out independently.

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK
β€’ 1:22:25 - 1:25:14

πŸŽ‰πŸ˜Ž 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK

Consolidating Communication Channels with AI

To consolidate information from various communication channels, AI tools can be integrated. Granola and NeoSapien (for meetings) offer APIs that, when combined with N8n and Model Context Protocol (MCP), can pull all meeting information into a single platform. Google Workspace CLI allows agents to extract data from Gmail and Calendar. Claude can connect to these sources and Slack via its connectors, enabling a unified summary of all communications.