AI Architect
One prompt. A production-ready cloud.
The AI Architect turns a sentence into a complete, secured, cost-estimated cloud architecture for any tech stack or application requirement — and deploys it without manual intervention.
AI ARCHITECT
How it works
Six phases, zero tickets
The Architect works the way a great infrastructure consultancy does — compressed from weeks into minutes.
Plain language in, requirements out
Tell the Architect what you're building: the workload, expected scale, region, compliance needs, budget sensitivity. It asks clarifying questions like a senior consultant would — then writes a requirements brief you can approve.
A complete architecture, not a sketch
The Architect composes compute, managed databases, caching, load balancing, networks, DNS, storage, and the right applications from the marketplace — sized from real workload models, not guesswork.
Costs before commitments
Every design ships with a monthly cost estimate per component and alternatives at different price points. Change a constraint — 'keep it under $400/month' — and the design re-optimizes.
Security and compliance designed in
Network segmentation, encryption, WAF, SSO, backup policy, and compliance profiles (GDPR, HIPAA-aligned, SOC 2-ready) are part of the blueprint — not a post-launch project.
Zero manual intervention
Approve the blueprint and the platform provisions infrastructure, installs applications, wires integrations, configures DNS and TLS, and runs verification checks — end to end, unattended.
Architecture that keeps architecting
As usage grows, the Architect proposes evolutions — read replicas, CDN expansion, queue isolation — each with cost and impact analysis. Approve in one click; it migrates with zero downtime.
Real prompts, real architectures
If you can describe it, it can build it
“A HIPAA-aligned patient portal for 20k patients with EU data residency.”
Segmented clinical network, encrypted Postgres HA, Keycloak SSO, audit logging, Frankfurt region — with compliance evidence pack.
“Migrate our Magento store to something cheaper that can survive 50x flash sales.”
Medusa + Next.js with autoscaling storefront pool, Redis queues, CDN, and a phased migration plan from the existing database.
“Internal data platform: sync Stripe, HubSpot, and Postgres into dashboards.”
Airbyte connectors, ClickHouse warehouse, dbt project scaffold, Superset dashboards, and role-based access via SSO.
“A private ChatGPT-style assistant trained on our company wiki.”
Ollama on GPU nodes, vector database, Flowise orchestration, Nextcloud ingestion pipeline — fully air-gapped from external APIs.
From blueprint to live
Watch a deployment run itself
Once you approve a blueprint, there are no further manual steps. Provisioning, installation, integration wiring, hardening, DNS, TLS, verification — the Architect executes the entire run and hands you a live URL.
- Deploys to AnyStacks cloud or into your own AWS, GCP, Azure, or bare-metal accounts
- Every blueprint is exportable as infrastructure-as-code — no platform lock-in, ever
- Failed steps retry, roll back, and self-diagnose; you see a clean audit log either way
Analyzing requirements with AI Architect
e-commerce · 30k customers · EU region
Provisioning cloud resources
Deploying PostgreSQL + Redis
Installing Medusa + storefront
Wiring ERPNext + Chatwoot + n8n
Applying security hardening
Stack live at store.yourbrand.com
Get started
Bring a requirement. Leave with an architecture.
Book a session and we'll run the AI Architect on your actual use case — you'll see the design, the cost estimate, and the pricing for your team.