betaUpdated February 13, 2026

Digital Employee Team

A team of five AI employees with real email addresses. Send them work — research, writing, decks, spreadsheets, project plans — and they'll deliver completed tasks with document attachments straight to your inbox.

Agentic AIMulti-AgentClaude APIEmailProductivity
Digital Employee Team illustration

What it solves

Most executives have heard the pitch for "AI agents" but haven't experienced what a coordinated AI team actually looks like in practice. Slides about multi-agent orchestration don't land the same way as sending an email to casey@brianwhite.io and getting a polished PowerPoint deck back 10 minutes later.

This tool makes agentic AI tangible by mapping it to a concept leaders already understand: an org chart with people who have names, titles, and email addresses. No logins, no dashboards, no learning curve. Just email.

How it works

Behind the scenes, this is a multi-agent system powered by Anthropic Claude:

  1. Inbound email arrives at any team member's address via Resend
  2. Morgan (Chief of Staff) routes the request to the right specialist — or handles it directly
  3. The assigned agent executes the task using web search, document generation (PowerPoint, Excel, Word), and persistent memory
  4. Morgan reviews every deliverable before it reaches you, requesting revisions if needed
  5. You get a reply with the finished work and any file attachments

Each agent has a persistent memory of your preferences and past interactions, so the team gets better at working with you over time.

Ideal for

  • Executives and business leaders who want to experience agentic AI without learning a new tool.
  • Teams evaluating AI who need a concrete demo of multi-agent coordination.
  • Anyone who thinks in email and wants AI that meets them where they already work.
  • Quick operational tasks — research briefs, first-draft decks, project plans, written content — that don't justify opening another app.

Try it out

Meet the team

Want to adapt this pattern for your workflow? Share your context — feedback helps shape the next iteration.