Personalized FAQs

Question 1

Does the AI model run within Personalized?

Accepted Answer

No, the AI model (LLM) itself does not run inside Personalized. Personalized functions as a server exposing structured tools that return JSON data. The LLM runs in an external MCP host application (e.g., Cursor, Claude Desktop) which then calls Personalized's tools to get context and perform actions.

Question 2

Is Personalized secure for organizational use?

Accepted Answer

Yes, security is a core feature. Personalized includes robust safeguards such as path denylisting, data redaction, rate limits, and comprehensive audit logging. Write actions, like GitHub PR creation, are opt-in and strictly controlled by configuration.

Question 3

Can Personalized integrate with my existing development tools?

Accepted Answer

Yes, Personalized offers deep integrations with GitHub for repository management, file access, and optional Pull Request creation. It also integrates with Linear for reading/commenting on issues and webhook support. Additionally, it connects to any database for read-only SQL queries.

Question 4

What is Personalized?

Accepted Answer

Personalized connects AI agents, assistants, and chatbots directly to your organization’s code repositories and development workflows (like Linear and GitHub). It enables AI tools to read, search, and act on code and issues using natural language.

Question 5

How does Personalized help AI agents interact with code?

Accepted Answer

It provides powerful tools for repository discovery, org-wide or scoped code search, file reading, and generating 'context packs'—relevant code snippets for issues. All these capabilities are accessible via structured JSON tools for AI consumption.

Personalized

Personalized

Características Principales

Casos de Uso

Características Principales

Casos de Uso