How to set up deterministic multi-step AI workflows with zero infrastructure overhead

How to set up deterministic multi-step AI workflows with zero infrastructure overhead

This task can be performed using Antfarm

Spin up specialized AI teams. One YAML, zero ops.

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Antfarm

dev-tools

Antfarm lets you define specialized AI agent teams for OpenClaw in YAML and run deterministic, multi-step workflows from a single install. It turns feature requests, bug reports, and security scans into verified, tested pull requests with automatic retries and zero extra infrastructure.

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What to expect from an ideal product

  1. Define your AI workflow steps in a single YAML file instead of managing complex infrastructure setups and multiple service configurations
  2. Run multi-step processes that follow the same path every time through automatic retries and built-in error handling without setting up monitoring systems
  3. Deploy specialized AI teams with one command line install rather than provisioning servers, databases, and networking components
  4. Transform inputs like bug reports into complete pull requests through predefined workflow stages that run independently of your main systems
  5. Execute deterministic processes that produce consistent results across different environments without maintaining separate dev, staging, and production infrastructure

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