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What If Every Employee Had Their Own AI Executive Assistant?
Inside Nick Sonnenberg’s AI agent stack for hyper-efficient teams.
What if every person in your org - yes, even your intern - had an executive assistant that outperformed most humans? That’s the world Nick Sonnenberg is building.
As a former high-frequency trader turned operational efficiency expert, Nick now helps companies reinvent how work gets done through AI-powered delegation, dynamic workflows, and personalized automations.
In this episode of This New Way, Nick pulls back the curtain on how his team uses orchestration agents, context-rich data pipelines, and a living prompt database to drive results faster than ever.
Keep reading to get the step-by-step tutorials and AI tools mentioned in this episode. 👇
Prevent Shadow IT, Protect Your Organization:
Freemium, unvetted tools are quietly recording sensitive meetings, storing transcripts off-platform, and slipping past security reviews. This practical guide for the secure adoption of AI notetakers gives you the following tools:
A 3-step Shadow IT Prevention Framework
AI Usage Policy Template
Email, Slack, and Meeting Script Templates
Feature checklist to vet secure AI notetakers
Tutorial: Build Your Personal AI Assistant in Claude
Nick Sonnenberg’s team uses Claude to do what human assistants used to do: only faster, more accurately, and for everyone on the team.
Here’s how to build your own AI-powered assistant:
1. Set up Claude with MCP (Model Context Protocol).
This enables Claude to securely connect with your internal tools: email, calendar, CRM, and more.
2. Feed Claude your context.
Integrate data sources like:
Calendar (for meeting schedules)
Email history (for past conversations)
CRM (like HubSpot, for customer info)
Project tools (like Asana, for tasks)
Knowledge base (like Notion or Coda)
3. Define your agents and hierarchy.
Create specialized agents for things like:
Drafting emails
Prepping meeting briefs
Managing tasks or scheduling
Next, use an “orchestrator agent” that acts like a manager, deciding which sub-agent should handle each task.
4. Automate triggers.
When a new email comes in, your orchestrator agent pulls context and assigns it to your email-drafting agent, who writes a personalized reply.
You can also:
Trigger agents from Claude directly (e.g. “Tell me everything about [Person]”)
Generate morning briefings for your meetings
Route incoming tasks automatically
5. Review and send.
You stay in control: scan the output, tweak it if needed, and hit send. Over time, the assistant learns your voice.
Pro Tip: All prompts and workflows are stored in a database, so your team can version, test, and improve them over time - just like real product code.
👉 Watch the full demo here
AI Tools Mentioned
Claude + MCP – Context-aware agent orchestration
N8N – Automation and agent workflow builder
Perplexity – Real-time external research
HubSpot – CRM context layer
Asana – Task and planning agent integration
AI workflows aren’t just cool—they’re how leaders are scaling impact fast.
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Until next time,
Aydin Mirzaee
CEO at Fellow & Host of This New Way