AI Agents Run Your Inbox, Calendar & Socials with Sam Partee

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Jun 26, 2025

Sam Partee, co-founder of Arcade, discusses the rise of AI agents that can manage your inbox, calendar, and social media with your consent. He explains how Arcade empowers these agents, making workflows seamless and secure. Sam shares insights into his personal automation strategies, including email triage and iMessage replies. He also highlights the productivity boost for engineers and the importance of tools like Cursor for all team members. With a focus on transitioning to AI-native companies, this conversation is a must for anyone curious about the future of work.

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ANECDOTE

Sam's Unique AI Journey

Sam Partee entered AI through high-performance computing and large-scale simulations, like climate models.
His journey included working on CHAPL, vector databases, and eventually founding Arcade.

INSIGHT

Arcade Enables Agent Actions

Arcade acts as the "hands" for AI agents, allowing them to perform actions like emailing or Slack messaging.
It securely integrates via OAuth to enable agents to act on users' behalf across many tools.

INSIGHT

Ambient AI Agents Work Passively

Ambient agents run in the background performing tasks such as curating and posting social media content.
These agents can act as if you are highly active on platforms without your direct involvement.

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What if your AI agent could send emails, check your calendar, and even text people on your behalf—all securely and with your permission? In this episode, Aydin and guest co-host Alexandra from Fellow talk with Sam Partee, co-founder of Arcade, about how AI agents are actually becoming useful in the real world.

Sam breaks down how Arcade enables LLM-powered agents to act on your behalf across tools like Gmail, Slack, Salesforce, and more, without sacrificing security. He also shows us how he automates his own workflows, from email triage to iMessage replies, and shares how tools like Cursor and Claude are reshaping how engineers work day-to-day.

Whether you're technical or not, this episode is packed with actionable insights on what it means to work in an AI-native company—and how to start doing it yourself.

Timestamps

0:00 – The future of agents impersonating people

01:20 – Meet Sam Partee and his background in high-performance computing

02:50 – What Arcade is and how it powers AI agents

05:10 – Use case: ambient social media agents

06:50 – “YOLO mode” vs. human-in-the-loop agent workflows

07:30 – Building a lean AI-native company

08:00 – Engineers are now 1.5x more productive—with caveats

12:00 – Why the whole team (PMs, QA, etc.) should use tools like Cursor1

4:00 – How Markdown became the LLM-native format

17:00 – Sam’s iMessage agent and calendar automation

18:45 – His AI-powered inbox (email triage + drafting)

21:00 – Live demo: using Slack assistant “Archer” built with Arcade

24:00 – How non-technical people can use these tools too27:00 – Cursor vs. Copilot: What’s better?

30:00 – Cursor agent mode and example developer workflows

34:00 – Vector databases and prompt design

35:00 – Using LLMs to redesign error handling and generate docs

38:00 – Advice for teams adopting AI: start by building

Tools and Technologies:

Arcade – Let AI agents act on your behalf (email, Slack, calendar, etc.) with secure OAuth.

Cursor – LLM-native IDE with full-codebase context. Ideal for AI-assisted development.

Claude – Chat interface + agent orchestration, paired with Arcade.

LangGraph – Multi-agent orchestration framework with human-in-the-loop support.T

ailScale – Secure remote networking; enables Sam to access agents from anywhere.

Twilio – Used for SMS reminders and notifications.

Obsidian + Markdown – Sam uses Markdown + AI for personal notes and research.

GitHub Copilot – Used in tandem with Cursor for inline suggestions and PR reviews.

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