Hire a team of AI Agents

May 8, 2026

AI Summary

5 min read

Imran demonstrates how to assemble an AI chief of staff using Nebula, a platform for creating, deploying, and sharing agents that handle executive support tasks like priority management, project tracking, and communication filtering. These agents mimic human roles by combining system prompts, goals, and tool integrations, allowing busy users to automate routine work without deep technical setup. The conversation focuses on practical builds that reduce mental load, emphasizing agents as sub-specialists rather than generalists.

Core Agent Setups for Executive Support

The episode starts with Nebula's master agent researching chief of staff duties—strategic planning, agenda management, cross-functional alignment, and special projects—then spawning specialized subagents. Each agent gets a name, model (e.g., cost-effective Qwen 3.6 or Nebula's bang-for-buck base/supervisor combo for simple tasks), goals embedded in its system prompt, and relevant integrations like Gmail, Slack, Linear, or Jira.

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What you'll learn

1 (00:00) **Episode Intro** - Host pitches AI chief of staff using Nebula platform for priorities, research, and legwork.
2 (01:05) **AI Chief of Staff Defined** - Imran explains agents for calendar, priorities, message filtering, and project management.
3 (01:52) **Nebula Platform Overview** - Intro to Nebula as agent creation/deployment tool with channels, custom agents, and sharing.
4 (02:54) **Chief of Staff Research** - Nebula agent lists roles: strategic planning, agenda management, alignment, communication, projects.
5 (04:27) **Nebula vs. Technical Alternatives** - Nebula faster for non-tinkers; no terminal/models setup needed.
6 (06:53) **Blockage Radar Agent** - Agent scans email/Slack for team blocks waiting on user; daily briefing sample shown.
7 (13:18) **Project Status Agent** - Monitors Jira/Linear/Confluence/email/Slack for daily completions, today's tasks, risks.

+ Full timestamped outline available in the app

Show Notes

I'm joined again by Imran Muthuvappa to walk through how to build your own AI Chief of Staff using a tool called Nebula. Imran shows me how to spin up specialized agents that handle the work a real chief of staff would do — surfacing team blockers, tracking project status, holding people accountable to offsite vision goals, running daily agenda briefings, and prospecting ICP leads. We also get into mini apps, model selection for cost efficiency, and why personal software is becoming a real category. By the end, the takeaway is clear: every role now has a "work on the job" component where you supervise yourself and offload tasks to agents.

Links Mentioned:

Try Nebula: https://startup-ideas-pod.link/nebula

Precall Agent: https://startup-ideas-pod.link/precall-agent

Project Status Agent: https://startup-ideas-pod.link/project-status-agent

Lead Gen Agent: https://startup-ideas-pod.link/lead-gen-agent

Timestamps:

00:00 – Intro

02:13 – What is Nebula

02:54 – What an AI Chief of Staff Actually Does

4:26 – Nebula vs OpenClaw vs Hermes

06:09 – Building the Blockage Radar Agent

09:47 – Agent Features

12:04 – Choosing Cheaper Models for Simple Tasks

13:15 – Building Project Status Agent

13:53 – Connecting Tools to Agents

17:38 – Building Vision Tracker Agent

22:07 – Mini Apps and Personal Software as a New Paradigm

25:13 – Building a Daily Agenda Agent and Second Brain Integration

30:25 – Hours Saved vs. Anxiety Reduced for Founders

33:02 – Building the Lead Gen Prospector Agent

39:19 – Final Thoughts: Automate Three to Five Things

Key Points

An AI Chief of Staff handles the boring executive support work — calendar, email, LinkedIn, project status — so a human can focus on decisions.
Nebula lets you build, deploy, and share custom agents through a Slack-like interface, w