How-to
Let AI design your AWS architecture from a plain-English prompt
Describe the app you want in plain language and have an AI copilot lay out the AWS resources, configure them, and wire them together on a canvas you can review before deploying.
Most infrastructure starts as a sentence: "I need a web app with auth, file uploads, and a REST API." The gap between that sentence and a working AWS stack is where a lot of time goes — picking services, remembering how they connect, getting the IAM right.
Korve's AI copilot closes that gap. You describe the workload; it lays out the architecture on the canvas.
How it works
Open Ask AI and type what you're building in plain language. The copilot:
- Plans first. It writes out the goals and steps and ticks them off as it works, so you watch the architecture take shape rather than getting a black box.
- Adds the right nodes. Real service nodes — S3, CloudFront, Lambda, DynamoDB, API Gateway, whatever the workload implies — not vague boxes.
- Configures them. It sets the key fields, using sensible low-cost defaults, and asks you plain-language questions when a choice is genuinely yours ("Who should be able to access this app?" — not "which IAM role").
- Wires them together. Related resources get connected, so the result is a coherent architecture, not a pile of parts. An unwired diagram deploys wrong, and the copilot knows it.
Everything lands on the canvas as editable nodes. Nothing is deployed — you review, adjust, and deploy when you're ready.
It checks reality instead of guessing
A good architecture depends on what already exists in your account. The copilot can check your live connection and list your real resources, so it references your actual VPCs and buckets instead of inventing IDs. If it needs your account connected, it hands you a connect button and picks up where it left off.
You stay in control
The AI proposes; you dispose. Every change appears on the canvas with a keep-or-undo pill. Every run is saved to a per-workflow history — the prompt, the plan, the reasoning, and what changed — so you can review exactly what it did later. And because deploying is a separate, explicit step with its own dry-run preview, the AI never provisions anything on its own.
Good prompts to start with
- "Static site with a CDN and a serverless contact form."
- "Real-time chat with presence and persistent storage."
- "A REST API with a database and file uploads."
Describe the app, not the services. Translating intent into the right AWS resources is the copilot's job.
Related
Build this on a canvas instead of the console.
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