Running Cryo as a service, AI Agents

Cryo Agency Implementation, Building Autonomous AI Agent Services

Learn how to architect and deliver long-running AI agent workflows for clients using Cryo's Freeze/Thaw Virtual Machine and typed LLM plugins. This course covers productizing agent development, managing client deployments across GitHub and chatroom integrations, and structuring retainer pricing around agent monitoring and optimization.

Open the decision record for Cryo

What does running Cryo for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Not published, contact vendor for pricing
Time to first value
Not published
Payback
Not modeled
Guided implementation
8 hours

Is Cryo worth running as a client service?

Cryo is a high-complexity, developer-only language for long-running AI agents, requiring significant engineering investment. Vendor pricing and timelines are not published, so agencies must contact the vendor and model costs carefully before committing.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • Cryo Playground access for development and testing
  • GitHub account for sign-in and GitHub plugin integration
  • Plugin connections for Hacker News, chatrooms, and LLM services
  • Cryo source code repository for version control

People and inputs

  • Software developers proficient in new languages and concurrent programming
  • Understanding of coroutines, select, and pipes for agent logic
  • Time for high-complexity setup and learning curve

Included with the course

7 working documents for delivering this service.

  • Cryo Agent Service Pricing Worksheetworksheet
  • FTVM State Management SOP for Client Deploymentssop
  • Jev Classification Plugin Setup Checklistchecklist
  • Multi-Service Agent Architecture Templatetemplate
  • Client Onboarding Guide for Cryo Playground Prototypingguide
  • Agent Monitoring and Thaw-Cycle Troubleshooting Checklistchecklist
  • Coroutine Composition Patterns for Concurrent Workflowsguide

Listed by name. These documents are not yet published as individual downloads.