> ## Documentation Index
> Fetch the complete documentation index at: https://docs.avigrah.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Core

The **Core Environment** is the default execution environment in Avigrah.

It is designed to provide a **fully managed, production-ready infrastructure** where AI systems can be deployed and operated without requiring any setup or system management.

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## What is Core?

Core is a **shared execution environment** where your AI systems run on managed infrastructure.

It allows you to:

* Deploy AI systems instantly
* Run pipelines and workflows reliably
* Operate at production scale without infrastructure management

All projects created in Core operate within this environment.

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## Shared Infrastructure Model

Core operates on a **multi-tenant architecture**, where infrastructure is shared across users to ensure efficiency and performance.

This means:

* Compute and system resources are optimized globally
* Performance is stable and consistent
* Costs remain efficient

At the same time:

* All **data, pipelines, and projects remain logically isolated**
* No cross-project or cross-organization data access occurs

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## What You Can Do in Core

Core provides everything required to run standard AI systems:

### Deploy AI Templates

Use curated, production-ready templates to quickly launch AI systems.

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### Run Data Pipelines

Ingest, transform, and prepare data for AI execution.

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### Execute AI Workflows

Run multi-agent systems that generate insights, signals, and outputs.

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### Monitor and Operate

Track execution, monitor pipelines, and manage workflows in real time.

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## Characteristics of Core

Core is designed for **consistency and reliability**.

* Fully managed infrastructure
* Standardized execution environment
* Predictable performance across workloads
* Built-in scalability for most business use cases

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## Template Access in Core

Core provides access to a **curated set of stable templates**.

These templates are:

* Pre-validated for production use
* Optimized for common business scenarios
* Structured for consistent outputs

More advanced and customizable systems are available in Apex.

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## When to Use Core

Core is suitable when:

* You want to deploy AI systems quickly
* Your use case fits within standard templates
* You do not require custom infrastructure or system-level control
* You are running internal or mid-scale production workflows

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## Operational Model

In Core:

* You configure projects
* Attach pipelines and integrations
* Deploy AI systems from templates
* Run and monitor execution

The platform handles everything else.

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## Positioning

Core is designed to help you **start fast and operate reliably**.

It removes infrastructure complexity while ensuring your AI systems remain secure, scalable, and production-ready.

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