Poe is an AI platform built around access to many different models rather than one proprietary assistant. Users can chat with official models, explore community-created bots, generate images and video, compare different AI systems, and build their own bots or interactive applications. Poe is available on the web as well as iOS, Android, macOS, and Windows.

That breadth is the main reason to use Poe. It works less like a single chatbot and more like a hub where different AI models and specialized tools share the same interface.

Poe's official catalog brings models from several major AI companies into one place. Its current lineup includes systems such as GPT-6-Astra, Claude-Fable-5.1, Grok-4.6, Kimi-K3, and GPT-5.6-Sol, alongside image, video, audio, and specialist models.

This is useful because no model is best at everything. A user might prefer one for coding, another for long-form writing, and a different model for image creation.

Poe also has a general-purpose Assistant that automatically routes tasks to different models depending on what the user asks. Current routing covers general queries, image generation, and video-input tasks.

For people who enjoy comparing models without moving between several separate apps, this is one of Poe's strongest advantages.

Poe goes beyond official models with millions of user-created bots. These range from writing assistants and tutors to coding tools, role-specific assistants, image generators, and interactive experiences.

Quality varies, but the marketplace changes how Poe feels. Instead of configuring every model yourself, you can often find a bot already designed around a particular task.

Poe also supports private conversations and group chats, giving several people another way to interact with bots in the same environment.

Creating a basic bot does not require programming. Prompt Bots let creators select a base model, provide custom instructions, add a greeting, adjust behavior, and optionally attach a knowledge base.

Knowledge bases can contain uploaded documents or raw text. Poe supports common formats including PDF, DOCX, TXT, and HTML, then retrieves relevant material when responding. Creators can also enable source citations.

That makes Prompt Bots useful for company documentation, educational material, specialized reference assistants, or any bot that should work from a defined set of information.

The creator side is now considerably broader than simple prompt bots.

Script Bots are especially interesting. They can combine several text, image, video, or audio models inside one multi-step workflow, with Python handling the logic. Poe can even generate the underlying script through conversation.

Canvas Apps take another route. They are interactive web applications that run inside Poe and can call AI models behind the scenes. A creator can describe an app to Poe's App Creator, then refine the generated interface conversationally.

This pushes Poe closer to an AI application platform rather than just a model aggregator.

Poe works particularly well for comparing AI models, general AI chat, writing, coding, image and video generation, experimenting with new models, building specialized assistants, and creating lightweight AI apps.

It is also a practical choice for users who regularly need several model providers. Keeping those models in one interface reduces the friction of switching between separate websites.

For creators, Poe provides distribution as well as development tools, which makes it easier to publish a bot or app where an existing AI audience can discover it.

Poe's biggest strength can also make it confusing. There are many official models, variants, and community bots, and new users may not know which one fits a particular task.

Output quality also depends heavily on the underlying model or bot creator. Poe provides the platform, but third-party models generate much of the content, and user-created bots can differ significantly in accuracy and reliability.

The platform changes quickly as providers release new models. Poe specifically warns developers that certain custom bot behavior may change without notice, so workflows that depend on exact model behavior need monitoring.

Canvas Apps have technical limits too. They are primarily client-side applications and do not include their own persistent database, so more advanced products may still require external infrastructure.