AGX: The Verifiable AI Workflow Engine for DevOps

From Prompt to Verified DevOps Automation

AGX generates structured JSON plans, validates them against a pre‑vetted function library, then compiles them into executable code.

Live demo: natural‑language prompt → JSON plan → validator check → compiled script.

Describe what you want to automate...

Output

About the Engine

About the Showcase Engine

AGX is a verifiable AI engine that translates your commands into reliable, executable workflows.

This live showcase demonstrates our core principle: From Prompt to Verified Plan.


  • Reliable by design. Hallucination‑resistant.

    Our verification engine validates every execution plan against a registry of approved functions before it runs, preventing unapproved actions and reducing the unpredictable behaviour of typical AI agents.

  • Transparent & auditable

    AGX generates a clean Python script for every task. You see exactly what will happen, providing a clear and auditable workflow every time.

  • Built for real workflows

    With built-in dependency resolution, the engine can orchestrate multi-step processes like building an image, deploying it, and then monitoring the result.

Available tools (demo subset):

  • set_bucket_name — set name for reuse
  • create_aws_s3_bucket — emit bucket HCL
  • aws_s3_bucket_public_access_block — block public access
  • save_hcl_to_file — write main.tf

Try chaining them together in your prompt! Here's a sample: Create an S3 bucket named agx-demo-123 with all public access blocked and save to main.tf.

AGX CLI (private alpha)

  • AWS-first: generates Terraform from validated plans
  • Local-first: no freeform shell; registry-only
  • Deterministic by design: static checks before codegen

Prefer email? cli@agx.run

Built by Ammar Qureshi, founder of AGX

You can generate up to five plans per day.