AI Architecture Diagram Generator

ArchGenie accepts a range of input modalities. Describe the system in plain English (concise or verbose), sketch it on a whiteboard and upload the photo, drop in a screenshot of an existing reference diagram, or attach a PRD/RFC and let the extractor pull the components and connections out for you. Multi-turn refinement works the same way — keep iterating in conversation until the diagram matches the system you have in mind.

No diagramming tool, YAML schema, or domain-specific language is required. The translation from intent to a renderable architecture is part of the pipeline.

ArchGenie's catalogs map every component to a specific managed service: an "application server" on AWS becomes ECS Fargate or Lambda or EKS depending on the workload; a "managed Postgres" on Google Cloud becomes Cloud SQL or AlloyDB depending on the latency, replication, and budget hints in the request.

The same applies to Azure (App Service, Container Apps, AKS, Postgres Flexible Server, Cosmos DB), and across networking, storage, identity, observability, and AI/ML services. The result is a diagram with provider-specific managed services on every node.

Every service node is interactive: click a node to remove it, replace it with a different managed equivalent, add high-availability (multi-AZ, replicas, failover), or jump to its infrastructure code, security findings, or cost line item. The diagram stays in sync with the rest of the solution as you refine.

Pictures of existing systems are a common starting point — documentation diagrams, conference talk slides, a whiteboard from a design meeting. ArchGenie's extraction step parses the image, identifies the services and connections, asks for confirmation when the cloud provider is ambiguous, and then re-renders the system as a native diagram with provider-specific service nodes. From there the rest of the pipeline — infrastructure code, security grade, cost — runs as if you had described the system in text.

The diagram is the entry point, not the deliverable. Once it is rendered, the same architecture flows into the rest of the pipeline: validated infrastructure code in the format you choose (Terraform, Pulumi, or Bicep), an A–F security grade, per-resource cost across reserved/spot/on-demand, observability-as-code, and documentation. The downstream outputs are derived from the same architecture model.