SIGNAL//SYNTH
Software Engineering

Scaling Agent Workloads at Vercel

aired Sep 17, 2026 · 51.0m
Signal
91.1/ 100
Essential
confidence 0.99
Orig55.7
Actn100.0
Dens100.0
Dpth100.0
Clty80.0
Summary

Most AI agent setups today are built around a single session, where one user interacts with one agent at a time. However, that model breaks down when an agent has to serve a business, where thousands of requests can arrive at once and each session needs to be isolated, durable, and recoverable.

Why listen

It goes beyond the title with direct discussion of like, agent, yeah, including: However, that model breaks down when an agent has to serve a business, where thousands of requests can arrive at once and each session needs to be isolated, durable, and recoverabl.

Key takeaways
  1. 01Most AI agent setups today are built around a single session, where one user interacts with one agent at a time
  2. 02However, that model breaks down when an agent has to serve a business, where thousands of requests can arrive at once and each session needs to be isolated, durable, and recoverabl
  3. 03Getting agents to run reliably at that scale has meant a lot of hand-rolled infrastructure beneath the agent itself
Best for
AI engineers building production copilots