A VC explains an indispensable daily use case for AI: inputting the names of people attending a dinner or meeting and having the AI generate bios and backgrounds. This replicates a key function of a chief of staff, leading to richer, more informed conversations.

Elevate your AI's interpersonal context with an automated workflow. Connect a meeting transcriber to your AI's 'operating system.' A skill can then parse transcripts, extract key points mentioned by colleagues, and automatically update their individual profiles in your '/people' folder for future reference.

Despite having a large staff, Gary found crucial context was lost from meetings. He now uses an AI tool as a "capture all" CRM, sending it photos and notes via text. The AI builds a relationship graph that he then uses to automate follow-ups and maintain connections, essentially scaling his personal memory.

Power users are building personal AI assistants not just by feeding data, but by creating curated context layers. This involves exporting all digital communications (email, Slack), then using LLMs to create tiered summaries (e.g., monthly chief-of-staff briefs) to give agents deep, usable context.

Connect an AI note-taker to an email tool using an automation platform like Zapier or N8N. After an interview, the AI automatically summarizes the call and sends a personalized follow-up with key discussion points and next steps, preventing candidate communication black holes.

Tools like Granola automate rote tasks, freeing up mental bandwidth during meetings. This allows participants to focus entirely on interpersonal dynamics and building rapport. The real benefit is fostering genuine human connection, which is crucial for high-stakes deals and collaborations.

Most users re-explain their role and situation in every new AI conversation. A more advanced approach is to build a dedicated professional context document and a system for capturing prompts and notes. This turns AI from a stateless tool into a stateful partner that understands your specific needs.

A powerful workflow is to use AI agents to mine your calendar, meeting notes, and DMs for latent content. This system can automatically transform real-life interactions—often the source of the best viral ideas—into authentic tweets and posts, creating a content engine from your daily activities.

Instead of manual note-taking, use AI tools to transcribe and summarize all meetings. This creates a unique, searchable knowledge base from your conversations, which can be leveraged to improve preparation, follow-ups, and decision-making over time.