Your deployment, drafted by AI.
If your team has always shipped to virtual machines, this is the on-ramp. Describe what you're building — app type, stack, expected load — and Ask Debesis proposes the services, sizes them, and estimates the monthly cost. You review and deploy with a step-by-step guide. Real engineers on call when AI gets it wrong.
How it works
Describe, review, deploy.
- 01
Describe your app
A short questionnaire: app type, languages and frameworks, expected load, and a sentence about your components. No repo access needed.
- 02
Review the proposal
Recommended services, sizes, and an estimated monthly cost — drafted by Claude from our real catalog and price list.
- 03
Deploy it — guided
Every proposal ends in a step-by-step guide for the console. You create each service yourself and stay in control. Nothing deploys automatically.
Roadmap
What's real today, what's coming.
We won't sell you something that doesn't exist. Below is the honest state of Ask Debesis today.
| Questionnaire → service proposal | Private preview | App type, stack, load — proposed by Claude |
| Sizing & monthly cost estimate | Private preview | From the real catalog and price list |
| Step-by-step deployment guide | Private preview | Templated console walkthrough |
| Manual deploys (without AI) | Private preview | The console never requires AI |
| Repo-aware analysis (connect a Git URL) | On the roadmap | Opt-in; the questionnaire stays |
| Dockerfile generation | On the roadmap | After repo-aware analysis ships |
| Terraform provider / IaC export | On the roadmap | A real provider — no fake HCL |
| Auto-provisioning with approval gates | On the roadmap | AI proposes, you approve — always |
Security & privacy
Your code is yours. We don't even see it.
No repo access
Ask Debesis works from your answers, not your source. Today it never sees your code — repo analysis will be strictly opt-in when it ships.
Never used to train models
Your answers and descriptions are never used to train or fine-tune any model. No opt-in, no exception.
You approve everything
Proposals are drafts. Nothing is provisioned until you create it yourself in the console — and future auto-provisioning will ship behind explicit approval gates.
Model transparency
We name the model we use: Anthropic Claude. If that changes, we'll say so.
Try it in the console.
Ask Debesis is in private preview inside the console. Open an environment and you'll find it on the dashboard — and if your team is new to containers, the founders will walk through your first deployment with you.
Or email the founders:founders@debesis.dev