AI Assistant Overview
The Pop AI Assistant is one of the most frequently used core features in the Pop system. It is not only a chat interface but also a scalable, multi‑model, knowledge‑aware, plugin‑enabled, multimodal intelligent interaction system.
This chapter provides a clear global understanding of the Pop AI Assistant so you can grasp the overall capability landscape before diving into the following sections.
✨ What is the Pop AI Assistant?
The Pop AI Assistant is the intelligent interaction hub integrated into the Pop desktop and web applications. It supports:
- Natural language conversation — Ask questions, continue writing, generate content like ChatGPT
- Knowledge‑base Q&A — Provide precise answers based on your documents
- Multiple model providers — Supports OpenAI, DeepSeek, Ollama, local models, private APIs, etc.
- Multimodal input — Understand images, audio, video, screenshots, and PDF content
- Code & tool execution — Extend capabilities via plugins and MCP tools
- Document‑side operations — Summarize, translate, and extract content in the reader sidebar
- Multi‑window — Open multiple independent AI sessions simultaneously
- Role system — Create AI personas with different abilities and styles
- Security & privacy control — Local data stays local; model access behavior is controllable
It is not just a chat assistant — it is the intelligent hub of the entire Pop platform.
🧠 Design Philosophy of the Pop AI Assistant
Pop follows three major principles when designing the AI Assistant:
1) Provide help anytime, anywhere
No matter whether you are:
- Editing a document
- Reading materials
- Building workflows
- Managing knowledge bases
- Working or studying
The AI Assistant should always be one click away and immediately ready.
2) Use the model you want — not what you're forced to use
Supported model providers include:
- OpenAI series
- DeepSeek API
- Local models (LM Studio / Ollama)
- Enterprise custom APIs
- Offline model mode (future version)
Model selection is flexible and fully configurable inside Model Management.
3) AI should integrate into every corner of the application
Not just exist as a standalone chat window.
Examples:
- Select text in the reader → AI sidebar auto‑summarizes
- In the knowledge base → Use AI to batch clean or rewrite content
- In workflows → AI generates node configurations
- When uploading files → AI analyzes extractable knowledge
- In conversations → AI can invoke plugins/tools to execute tasks
Pop’s goal is to become a truly AI‑native application.
🚀 Core Capabilities Overview
The following table summarizes features detailed in later sections:
| Capability | Description |
|---|---|
| Multi‑model management | Configure and switch between different model providers & APIs |
| Multi‑window chat | Open multiple independent sessions simultaneously |
| Role & persona system | Create AI personas (teacher, advisor, writer, developer, etc.) |
| Knowledge‑base Q&A | Provide accurate answers based on user documents |
| Multimodal understanding | Upload images/PDF/screenshots for analysis |
| Plugins & MCP tools | Execute external tools, automate tasks, process files |
| Conversation history | Search, tag, and pin important conversations |
| Privacy & security | Model access control, local‑first data storage |
The following sections will explore each capability in detail.
📚 Example Use Cases
● Writing & Content Generation
- Outline planning
- Content refinement
- Product writing
- Academic assistance
● Programming & Technical Support
- Debugging
- Code explanation
- Generating API requests
- Writing modules or components
● Workflows & Automation
- Generate workflow nodes
- Analyze JSON / CSV / SQL
- Automated file processing
● Knowledge Tasks
- Query enterprise knowledge bases
- Summarize PDFs
- Information extraction, classification, rewriting