Artificial System Designer

Diagram modeler for real system-design networks, not static boxes.

This build turns the specification into a working topology lab: drag and drop compute, networking, storage, security, and data components, connect them, load guided scenarios, and run a simplified network simulation with server-level telemetry and architecture-rule feedback.

Drag components from the spec-backed toolbar onto a large diagram canvas.

Create connections between nodes, edit protocols, and inspect live cable traffic.

Load full scenarios or step through guided architecture instructions with rollback.

Simulate throughput, latency, resilience, cost, and validation outcomes in one surface.

What This Ships

1. Load a scenario or start from a blank topology.
2. Drag components from the spec catalog onto the canvas.
3. Connect nodes, tune capacity and redundancy, then run traffic.
4. Watch server stress, edge traffic, validation, and score updates.
5. Step forward or backward through guided architecture construction.

Coverage Snapshot

Providers

Scenarios

Toolbar Categories

Rules

Architecture Layers

Toolbar Components

100

Simulation Operations

200

Rollback Operations

200

Scenario JSON Examples

1. Live Lab

A drag-and-drop network modeler built directly from the specification

The canvas below reuses the existing scenario data, toolbar categories, patterns, and rules. You can load a full scenario, replay it step by step, or create a custom network and let the simulation estimate traffic flow, hotspot pressure, and architecture quality.

Guided Scenario

Spec-backed lab bootstrap

expert

Scenario

Teaching scenario for a global social stream optimized for fanout, hot-key mitigation, search, and multi-region resilience.

Event DrivenCQRSSagaRepository

Peak RPS

2.4M

Regions

6 active regions

Step Playback

6 / 6 spec steps applied

Current Step

Shard, replicate, and observe

Split hot datasets across shards, replicate across regions, and instrument latency and cost.

create_wide_column_clusterdefine_shard_keyenable_replicationenable_metrics

Component Palette

Drag spec components

100 items

Live Diagram

Connect components and simulate traffic

Traffic Pressure

1,400,000 req/s

Edge caching and hot-path shieldingEvent-driven decoupling and back-pressureZero-trust ingress and security segmentationTrace-first operations and SLO visibilityCQRS read/write separationCompensating transactions and workflow orchestration

Simulation HUD

Server-level telemetry

Tick 1

Demand

1,501,540

Input traffic applied to entry nodes this tick.

Latency

195.8 ms

Average end-to-end service latency across active paths.

Throughput

2,390,265 req/s

Effective volume after contention and critical failures.

Overall Score

33.6/100

Balanced view across resilience, security, performance, cost, and clarity.

Resilience

Security

Performance

Cost Efficiency

Hottest Nodes

est. cost 72.6

Browser

critical

99%

CPU

33.4 ms

Latency

18.6%

Error

3150

Queue

Global DNS

Dns

critical

99%

CPU

117.2 ms

Latency

35%

Error

10562

Queue

Media CDN

Cdn

critical

99%

CPU

175.7 ms

Latency

35%

Error

16888

Queue

Edge Router

Layer7 Load Balancer

critical

99%

CPU

354.4 ms

Latency

35%

Error

24502

Queue

Twitter API Gateway

Api Gateway

critical

99%

CPU

263.8 ms

Latency

35%

Error

17871

Queue

Validation

Rules and incident feed

reject

Reject direct client access to internal databases or queues.

Timeline Service talks directly to Follow Graph. Route it through an API or queue boundary.

warn

Warn when a single-region deployment serves global traffic without failover routing.

The selected scenario expects global traffic, but the graph shows only 1 region boundary.

Simulation Events

Browser is saturated at 99% CPU with 3150 queued requests.
Global DNS is saturated at 99% CPU with 10562 queued requests.
Media CDN is saturated at 99% CPU with 16888 queued requests.
Timeline Service talks directly to Follow Graph. Route it through an API or queue boundary.

Inspector

Configure the selected element

Select a node to edit capacity, redundancy, provider, or region. Select a cable to change protocol semantics. The simulator updates live as you edit the topology.

2. Spec Coverage

Architecture planes, provider context, and pattern coverage remain visible

The modeler is not disconnected from the original spec. These cards show the platform planes, provider context, toolbar inventory, and design-pattern coverage that now feed the interactive workspace.

Frontend

Deliver a Figma-like architecture lab where learners assemble systems, inspect state, run guided scenarios, and visualize behavior without leaving the canvas.

Canvas rendererToolbar and search paletteTopology inspectorScenario stepperMetrics and trace HUDAI architect copilot panel

Backend

Serve authoritative scenario content, persist architecture versions, coordinate collaborative sessions, and expose policy engines used by the lab.

Scenario serviceWorkspace serviceValidation serviceCost and provider catalog serviceLearning-content serviceAuth and RBAC service

Simulation Engine

Turn architecture edits into validated system behavior by running a deterministic infrastructure, traffic, cost, security, and failure model.

Discrete-event schedulerTraffic engineFailure and chaos engineCost engineSecurity attack simulatorRecommendation engine

State Engine

Maintain the architecture graph, user action log, derived learning state, and deterministic undo or rollback semantics across all labs.

Topology graph storeCommand busProjection engineVersioning subsystemValidation outcome cache

Visualization Engine

Render complex architecture graphs, time-series metrics, packet animations, query plans, and cost overlays in a way that stays educational under scale.

Node rendererEdge rendererLayout and routing engineCharts and telemetry layerDiagram export subsystem

Simulated Providers

AWS

Primary reference provider for compute, managed databases, and edge-heavy labs.

Google Cloud

Strong fit for analytics, global routing, data processing, and Kubernetes-focused scenarios.

Azure

Enterprise-oriented provider for hybrid networking, identity, and managed platform services.

Cloudflare

Edge-first provider for DNS, CDN, security, worker compute, and traffic shaping.

DigitalOcean

Simpler provider profile for smaller labs, startup architectures, and cost-comparison exercises.

Toolbar Inventory

Compute10 components

Networking10 components

Application Layer10 components

Databases10 components

Database Features10 components

Messaging10 components

Storage10 components

Clients10 components

Security10 components

Observability5 components

expert

Peak RPS

1.4M

Steps

Hot path: collaborative edit session

ObserverHexagonalCQRSUnit of Work

Teaching scenario for end-to-end messaging, connection state, group fanout, and abuse-resistant mobile delivery.

expert

Peak RPS

4.2M

Steps

Hot path: message ingest, delivery ack, and presence

Event DrivenObserverSagaStrategy

YouTube

Teaching scenario for creator ingest, transcoding, search, recommendation, and high-bandwidth video playback.

expert

Peak RPS

2.1M

Steps

Hot path: video playback and recommendation refresh

Event DrivenCQRSFactoryRepository

Amazon Marketplace

Teaching scenario for large-scale catalog, search, inventory, checkout, and seller-facing analytics.

expert

Peak RPS

3.3M

Steps

Hot path: product detail page and checkout

Clean ArchitectureSagaCQRSRepository

Netflix

Teaching scenario for video distribution, playback control, recommendation loops, and cost-aware multi-region streaming.

expert

Peak RPS

1.6M

Steps

Hot path: playback session negotiation and adaptive bitrate delivery

Event DrivenSagaStrategyRepository

Uber

Teaching scenario for geo-aware dispatch, real-time location, trip orchestration, and incident-tolerant pricing.

expert

Peak RPS

1.1M

Steps

Hot path: real-time dispatch and ETA updates

Event DrivenSagaStrategyHexagonal

4. Rules And References

Operations, rollback domains, and learn-more material still anchor the product

The modeler is now the primary interaction layer, but it is still backed by the simulation and rollback vocabulary from the spec, together with the validation and learning material used to explain architectural trade-offs.

Simulation Domains

Compute Provisioning

create_vm, resize_vm, start_bare_metal_host

Container Orchestration

create_kubernetes_cluster, add_worker_node, deploy_container_set

Ingress and Edge

create_dns_zone, configure_geo_dns, attach_cdn_distribution

Routing and Network Control

create_router, add_static_route, configure_nat_gateway

Security Enforcement

create_firewall_policy, deploy_waf, enable_rate_limit

Rollback Domains

Compute Rollback

delete_vm, restore_vm_size, stop_bare_metal_host

Container Rollback

delete_kubernetes_cluster, remove_worker_node, undeploy_container_set

Edge Rollback

delete_dns_zone, disable_geo_dns, detach_cdn_distribution

Network Rollback

delete_router, remove_static_route, disable_nat_gateway

Security Rollback

delete_firewall_policy, remove_waf, disable_rate_limit

Validation Signals

Warn when a public-facing service has no load balancer or gateway in front of it.
Flag any database with write traffic but no backup or point-in-time recovery plan.
Warn when a single-region deployment serves global traffic without failover routing.
Flag single points of failure for auth, DNS, routing, or primary database components.
Warn when a write-heavy workload uses only one cache tier and no durable store.
Reject direct client access to internal databases or queues.
Warn when media-heavy applications have no CDN or edge cache.
Flag missing dead-letter queues on business-critical asynchronous flows.