AI-POWERED SOFTWARE ARCHITECTURE

Build better systems. Before you code.

Turn software ideas into interactive architectures. Understand every component, explore capacity under stated assumptions, and improve your design with AI when you ask for it.

Continue as guest Explore the workspace

Start without an account. Guest projects are kept in this browser session.

HOLOCANVAS / DESIGN VIEWAUTHORED TEMPLATE · 6 COMPONENTS

Knowledge storeManaged SQLSelected component

DESIGN / 001

Architecture is easier to reason about when the system is visible.

Plan the important boundaries before implementation. Keep choices, trade-offs, and assumptions beside the diagram.

A CLEAR PATH FROM IDEA TO MODEL

Think it through.
Then build with intent.

01
Describe the system
Start with a blank diagram, an authored template, or a clear product brief.
02
Shape the architecture
Place components, connect real boundaries, and document technologies and assumptions.
03
Explore the model
Adjust traffic inputs and inspect how modeled load flows through the graph.
04
Review the design
Use deterministic rules for findings; ask AI only when you want contextual reasoning.
05
Keep the decisions
Compare versions, save scenarios, and export a diagram or engineering report.

THE ENGINEERING WORKSPACE

Useful by design.
Honest by default.

HoloStack combines a hands-on architecture editor with deterministic analysis and optional, user-requested AI reasoning.

01 / SEE THE SYSTEM

One canvas for the pieces that matter.

Arrange services, databases, queues, identity boundaries, and external providers. Select a component to edit it; connect graph nodes with clear contracts and keep the system yours.

Open the guest workspace

02 / MODEL THE WORKLOAD

See what your inputs imply.

Move a traffic control and HoloStack recomputes utilization locally. Every result follows the architecture graph and its editable capacity assumptions; no AI request or infrastructure telemetry is involved.

Try the deterministic model

MODELLED, NOT MEASUREDInputs → insights

Capacity, utilization, and headroom are estimates that help explore a design. They are not load-test results or production guarantees.

AI architecture proposals

Turn a written brief into a validated graph when you explicitly request generation. Review every assumption before you apply it.

HoloCanvas

Edit components and connections directly. The diagram stays responsive and all graph changes are local until saved.

ScaleLab

Model workload, capacity, and bottlenecks with transparent deterministic calculations and editable assumptions.

Architecture review

Read evidence-based findings from named TypeScript rules. No opaque composite score or simulated security certification.

Version history

Track saved revisions, compare graph changes, and restore a previous design as a new version.

Useful exports

Download validated architecture JSON, a clear PNG diagram, or a Markdown engineering report.

REAL, EDITABLE STARTING POINTS

Start with a system,
not a blank page.

These diagrams are authored product templates. Open one in the guest workspace, then edit the graph and its assumptions.

AI SaaS / RAG

A retrieval-augmented assistant with private knowledge, a secure API, and an external model provider.

Open this template

E-commerce

A storefront with separate order handling, a read cache, and a hosted payment boundary.

Open this template

Realtime chat

Durable messages and a managed realtime delivery service; no persistent WebSockets inside serverless functions.

Open this template

Video streaming

An asynchronous media processing pipeline with edge delivery and separate object storage.

Open this template

Team CRM

A tenant-scoped application with background imports and explicit authorization boundaries.

Open this template

Event-driven services

A durable event pipeline with decoupled workers and an explicit retry boundary.

Open this template

Serverless app

An edge-cached web application with bounded stateless handlers and durable SQL persistence.

Open this template

SCALELAB · PURE TYPESCRIPT

Change the load.
Watch the model respond.

Try a small, interactive view of the same deterministic simulation engine used in project workspaces.

LIVE LOCAL MODEL · NO AI REQUESTSIncoming requests per second 250 RPS

Illustrative template assumptions only. Move the control to recalculate graph load, utilization, and headroom in deterministic TypeScript.

Modeled component load 1 capacity alerts

Web client

13%

Application API

13%

Identity & sessions

13%

Knowledge store

31%

Model inference

500%

Estimates do not measure infrastructure, latency, cloud cost, or real service capacity. All figures depend on editable assumptions.

HOW WE THINK ABOUT ENGINEERING

Trust comes from
showing the work.

No borrowed logos, invented customer claims, or mystery scores. Product output stays inspectable.

01Show the assumptions

Capacity numbers are user-editable inputs, not benchmark claims.

02Keep the math deterministic

Simulation, review rules, graph editing, and visualization run in ordinary code.

03Keep people in control

AI changes remain proposals until someone reviews and applies them.

04Protect the design

Private projects are tenant-scoped; guest projects stay in the current browser session.

GOOD QUESTIONS

Before you begin.

What does HoloStack AI do?

It gives you a workspace to draw software architecture, document design assumptions, estimate capacity under a modeled workload, run named architecture checks, and review AI proposals.

Does it generate actual application code?

No. HoloStack designs and documents architecture graphs. It does not generate, deploy, or operate a production application.

Are traffic simulations real load tests?

No. ScaleLab runs deterministic calculations against the graph and explicit capacity assumptions. It does not connect to or measure infrastructure.

Can I use the product without AI?

Yes. Canvas editing, templates, exports, architecture review, version comparison, and ScaleLab work without AI.

Can I export an architecture?

Yes. The studio supports validated JSON import/export, PNG diagrams, and Markdown reports.

Is there a free demo?

You can open the guest workspace without signing up. Guest work is stored in this browser tab session; create an account to keep projects in your workspace across visits.

MAKE YOUR NEXT DESIGN LEGIBLE

Your next big system starts with a better plan.

Start designing

Preparing your workspace…

Think it through.
Then build with intent.

Describe the system

Start with a blank diagram, an authored template, or a clear product brief.

Shape the architecture

Place components, connect real boundaries, and document technologies and assumptions.

Explore the model

Adjust traffic inputs and inspect how modeled load flows through the graph.

Review the design

Use deterministic rules for findings; ask AI only when you want contextual reasoning.

Keep the decisions

Compare versions, save scenarios, and export a diagram or engineering report.

Build better systems. Before you code.

Think it through.Then build with intent.

Describe the system

Shape the architecture

Explore the model

Review the design

Keep the decisions

Useful by design.Honest by default.

One canvas for the pieces that matter.

See what your inputs imply.

AI architecture proposals

HoloCanvas

ScaleLab

Architecture review

Version history

Useful exports

Start with a system,not a blank page.

Change the load.Watch the model respond.

Trust comes fromshowing the work.

Before you begin.

Your next big system starts with a better plan.

Build better systems. Before you code.

Think it through.Then build with intent.

Describe the system

Shape the architecture

Explore the model

Review the design

Keep the decisions

Useful by design.Honest by default.

One canvas for the pieces that matter.

See what your inputs imply.

AI architecture proposals

HoloCanvas

ScaleLab

Architecture review

Version history

Useful exports

Start with a system,not a blank page.

Change the load.Watch the model respond.

Trust comes fromshowing the work.

Before you begin.

Your next big system starts with a better plan.

Think it through.
Then build with intent.

Useful by design.
Honest by default.

Start with a system,
not a blank page.

Change the load.
Watch the model respond.

Trust comes from
showing the work.

Think it through.
Then build with intent.

Useful by design.
Honest by default.

Start with a system,
not a blank page.

Change the load.
Watch the model respond.

Trust comes from
showing the work.