Choose the worker for the work.
Set models and settings by role or task class. Use a value model for routine work, a premium model when failure is expensive, and change the policy when the economics move.
Your agents. Your models. Your cloud.
Chatticus gives you persistent, named AI teammates on computers in your AWS account or on hardware you control. You choose the models, the economics, the systems they can reach, and the decisions that still require a person.
Compare the approachesThe ease of a hosted bot team. The control of your own system.
From pair programmer to executive
Cheap, capable models make teams of agents practical. The scarce resource is human attention: deciding what matters, defining what good looks like, and examining the outcomes that carry consequences.
Control is the product
Set models and settings by role or task class. Use a value model for routine work, a premium model when failure is expensive, and change the policy when the economics move.
Put the control plane and computers in your AWS account, or attach local workers when the job needs your network, repositories, or hardware.
Connect internal APIs, MCP tools, browsers, and local resources inside boundaries you define. A public SaaS connector is an option, not the architecture.
Give named teammates durable roles. Decide who delegates, who reviews, what evidence travels with the work, and exactly where a person must approve.
Three approaches
OpenClaw gives you control and the operating burden. Grok Bot makes the machinery disappear inside a vendor service. Chatticus is being built for teams that want a polished agent organization inside a boundary they own.
| Capability | OpenClaw | Grok Bot | Chatticus |
|---|---|---|---|
| Where it runs | A laptop, homelab, or VPS you supply and operate | A vendor-operated persistent cloud computer | Your AWS account or your local hardware |
| Model control | Broad provider support; you configure the models | Grok-managed; no per-bot model choice is documented | Choose model and settings by bot, role, or task class |
| Cost control | Direct model and hosting bills; optimization is up to you | Plan allowance plus on-demand model and token usage | Route by value, set budgets, and escalate only when evidence demands it |
| Private systems | Whatever the host can safely reach | Connectors and browser access from the vendor cloud | Private APIs, MCP, browser, and local tools inside your boundary |
| Operational burden | You install, secure, patch, and keep the host available | The service provides and operates the computer | Infrastructure as code in your account; computers are summoned when needed |
| Agent organization | Powerful building blocks that you assemble | Named bots collaborate on one shared computer | Named roles, reporting lines, durable work, review gates, and approvals |
Comparison based on public product documentation as of August 2026. The Chatticus column describes the intended product design; the project is under active development. Sources: OpenClaw introduction, Grok Bot overview, and Grok Bot FAQ.
Maximize value, not intelligence
A model that costs less but creates fifteen minutes of cleanup is not cheaper. Chatticus is designed around routing policy: start with the least expensive model that clears the quality bar, then escalate with concrete evidence when the work demands more.