

Free Lesson
Subagents and Parallel Work: Run Multiple Jobs at Once
30 min
Sep 21, 2026 12:00 PM
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What you'll learn
Run three real tasks concurrently
A live demo of subagents working in parallel on separate jobs.
When parallel work actually saves time vs. adds overhead
When fan-out saves time and when coordination overhead eats the gain.
A working example running multiple jobs at once
A working example running three tasks simultaneously.
Why this topic matters
Running one agent at a time leaves most of the speed on the table. This session shows how to split real work across subagents running in parallel, so you can run multiple jobs at once instead of waiting on one queue.
You'll learn from

Dr. Aki Wijesundara
AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana
AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum
Previous Students from




