DeepStructure | The engine for building self-improving AI applications

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PRODUCT

The DeepStructure Engine helps you build, update, and optimize your self-improving AI applications.

Rigor across the

development lifecycle

Start building with cutting-edge reference apps and components.

An end-to-end solution for continuous development, deployment, and evolution.

TypeScript SDK

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TypeScript SDK

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TypeScript SDK

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CLI

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CLI

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CLI

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Local Dev Environment

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Local Dev Environment

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Local Dev Environment

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CI/CD

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CI/CD

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CI/CD

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Example commands to create, deploy, and open monitoring console

npx create-deepstructure-app my-app

npm install -g @deepstructure/cli

cd my-app

ds login

ds app add

ds deploy

Automatic code runs

when data change

Reach better reliability and performance. As your data sources and code workflows change, the engine reacts in near real-time.

Comprehensive

Observability

Never lose a data flow or debugging breadcrumb. The engine captures all data flows through your system so that you can deeply understand the internal state over time.

Dashboard

Single pane of glass for the state of your application, with highest-priority issues surfaced for your immediate attention

Workflow Run

View the components, data flows, logs, and other metadata relevant to understanding why your workflow run produced the results that it did

Component Data Flows

Drill down into the raw data flowing between each component that comprised your workflow run

Dashboard

Single pane of glass for the state of your application, with highest-priority issues surfaced for your immediate attention

Workflow Run

View the components, data flows, logs, and other metadata relevant to understanding why your workflow run produced the results that it did

Component Data Flows

Drill down into the raw data flowing between each component that comprised your workflow run

Dashboard

Single pane of glass for the state of your application, with highest-priority issues surfaced for your immediate attention

Workflow Run

View the components, data flows, logs, and other metadata relevant to understanding why your workflow run produced the results that it did

Component Data Flows

Drill down into the raw data flowing between each component that comprised your workflow run

Self-improving

Applications

Your AI applications improve organically with more usage. Control optimization for quality, cost, or latency.
Add rigorous evals, assertions, and schemas.

Thanks to our friends at DSPy for technical inspiration.