Genesis overview

Autify Genesis helps QA teams use AI to streamline tasks such as test design and specification generation. Work in Genesis is organized into workspaces, which you can create and manage by product or use case.

Inside a workspace, Resources and Context, the AI Assistant, Spaces, and Workflows work together to support QA work.

Workspace

A workspace is the unit where you manage resources such as product source code, specifications, and design documents, and where you run AI-assisted QA work. You can create multiple workspaces within an organization and manage them by product or use case.

Workspace structure

A workspace consists of the following four areas.

Area	Description
Resources and Context	Manage the resources the AI can reference by connecting GitHub repositories and uploading files.
AI Assistant	Ask questions in natural language and request tasks using the resources in the workspace.
Spaces	Manage structured QA data such as test cases, feature lists, and scenarios in typed tables.
Workflow	Run and manage AI workflows such as automatic generation of PRDs, specifications, and test cases.

Resources and context

Resources and Context is the knowledge base that helps the AI understand your specifications and code correctly. You can register files such as specifications, design documents, and test plans, as well as codebases connected from GitHub or uploaded as ZIP files. Registered resources are indexed and used as context when the AI Assistant and Workflows perform tasks.

AI Assistant

The AI Assistant is a conversational AI feature that works while referring to registered resources. It can answer questions about your workspace based on specifications and implementation details, and can help with tasks such as drafting specifications and generating test cases.

Spaces

Spaces is a workspace tab for managing structured QA data — test cases, feature lists, scenarios — in typed, editable tables. Inside a Space, data is organized into Collections (typed tables of rows). You can define the columns each row contains, nest additional data with sub-collections, and view the full change history for every row. Workflows and the AI Assistant can also read and write Spaces data directly.

For more details, see About Spaces.

Workflow

Workflows combine multiple AI agent blocks to automate more complex work processes. They use knowledge from registered resources together with dynamic inputs provided at runtime. This makes it possible to standardize and automate tasks such as generating test cases from specifications and summarizing documents.