Skip to main content
Expert is the core product unit of the Profy platform. Each Expert is a complete autonomous AI agent instance — it’s not just a chat window, but an intelligent entity with its own persona, skills, memory, tools, and independent workspace.

Expert vs Regular Chatbots

Components of an Expert

An Expert consists of the following parts:

Persona

The Expert’s core identity — who it is, how it thinks, its areas of expertise, and its expression style. Set through cognitive distillation or manual configuration

Skills

Domain-specific capability instructions. A writing Expert might have skills like “long-form writing” or “copywriting optimization”

Memory

Persistent memory of user preferences and historical interactions. The Expert remembers your past choices and automatically applies them next time

Tools & Plugins

The set of tools available to the Expert — search, file processing, code execution, image generation, and more

Sandbox Workspace

An independent cloud environment allocated for each conversation, used for code execution, file management, and website preview

Guard Policy

Defines what the Expert should not do — intellectual property protection and behavioral boundaries

Expert Lifecycle

From creation to user interaction, an Expert goes through the following stages:
1

Creation

Creators build an Expert through two methods:
  • Cognitive Distillation: Upload professional materials (documents, conversation logs, etc.), and AI automatically extracts the cognitive structure
  • Manual Configuration: Manually set up persona, skills, and tools in the Studio
At this point, the Expert is in draft status, visible only to the creator.
2

Review for Publication

After the creator submits a publication request, the Expert enters review status. The platform reviews content quality and compliance.
  • First publication: After approval, the Expert is listed on the marketplace
  • Version updates: The old version stays online while the new version is reviewed independently — users are not affected during updates
3

Live on Marketplace

After approval, the Expert enters published status and becomes visible to all users on the marketplace.Creators can save draft changes at any time (without affecting the live version) and adjust pricing strategies.
4

Continuous Evolution

Once listed, the Expert continuously improves through the Darwin evolution system:
  • Automatically extracts valuable memories from conversations
  • Periodically evaluates skill quality and produces improvement suggestions
  • After creator review and acceptance, skill improvements take effect immediately

Expert Pricing Models

Creators can choose different pricing strategies for their Expert:
Specific prices are set by creators. Refer to the Expert detail page in the product for real-time pricing.

Key Expert Attributes

Identifier

Each Expert has a globally unique identifier, used for API calls and URL construction. The identifier is set at creation time and cannot be changed afterward.

Category

Experts are categorized by domain (e.g., writing, programming, design), and users can filter by category in the marketplace.

Version

Each published update creates a new version. Users always use the latest approved version, with historical versions retained for reference. Platform editors can mark high-quality Experts as “featured” for prominent display on the marketplace homepage.

Expert App: Standalone Product Mode

An Expert can be further configured as a standalone App — with its own subdomain (xxx.profy.cn), independent user interface, and admin panel. This elevates an Expert from a marketplace agent to an independent AI product.
Expert App pricing, admin panel, and user system differ from regular Experts. When your Expert needs its own brand, you can enable App mode in the Studio.

Next Steps

Sessions & Workspace

Learn about session and workspace mechanics when chatting with an Expert

Skills

Learn how to give Experts domain-specific capabilities through skills

Plugins

Explore the 20+ built-in plugins available to Experts

Memory

Learn how Experts remember user preferences and historical context