Customer stories

Agents in production, with the numbers.

What each team built on oncell, what it costs per customer, and the moment the runtime made an agent better.

JustCopy.ai
AI website builder · 30k users
The website was step one. The agents run the business.

JustCopy builds a small business its website, then the owner launches agents to run it: one that answers customers now, one that works in the background every day. oncell is the runtime for both, one agent per business, metered per business.

$0.0006
per customer conversation, metered per business
OpenCrew
Multi-agent HQ · open source
One agent, one cell. The crew is the product.

OpenCrew is the HQ where AI agents work as a team. Every agent in a crew runs in its own oncell cell behind OpenCrew's HQ: its own tools, its own budget, its own run log, paused at no cost when idle.

1
cell per agent, with that agent's tools and nothing else

What the stories illustrate

Each story is a worked example of one part of the platform. The posts below take one idea each from the stories and show the mechanism in the docs.

Cost per customer

What it costs to run a customer-facing agent per conversation

JustCopy runs one agent per small business at $0.0006 a conversation, under a $1 per day budget. How the number is measured, and what a $9.99 plan covers.

Agent evaluation

The run that became a test: turning production conversations into evals

A plumber's agent invented a price. The conversation was already a run in the log, so it became an eval. How promoted runs guard every change to an agent.

Multi-tenant agents

One agent, one cell: isolating a crew of agents

OpenCrew runs every agent in a crew in its own cell. The tool allowlist is the cell, the blast radius is one agent, and shared work happens on forks, not turns.

Agent runtime

Sync and async agents: the two kinds every business launches

Every business JustCopy serves launches two agents: a front desk that answers now and a follow-up that works every morning. Why a schedule is durable intent.