Shiori

Shiori is a web-based AI assistant platform accessible at shiori.ai that brings together multiple AI models, image generation, and web search into a single chat interface. It is designed for everyday users and developers alike, offering a range of built-in task shortcuts from debugging code to summarizing YouTube videos.

What It Is

Shiori is a multi-model AI chat platform that consolidates several AI capabilities — conversational AI, image generation, web search, and code assistance — into one unified web interface. Rather than switching between separate tools, users interact with a single chat window and select from a range of AI models, including Gemini variants. The platform positions itself as a general-purpose AI workspace for tasks like writing documents, analyzing data, planning projects, brainstorming ideas, and translating text.

Core Capabilities

The homepage surfaces a set of built-in task shortcuts that reflect the platform's breadth:

• Chat with multiple AI models — switch between models such as Gemini 3.1 Flash-Lite within the same interface
• Web search — query the live web directly from the chat window
• Image generation — create images without leaving the chat
• React component builder — scaffold and preview UI components
• Data analysis — upload and analyze data inline
• YouTube video summarization — paste a video URL and get a summary
• Document writing, project planning, debugging, research, brainstorming, and translation — all accessible as one-click prompt starters

Platform and Access

Shiori runs entirely in the browser with no installation required. Users log in via an account and must agree to the platform's Terms of Service and Privacy Policy before chatting. A sidebar navigation and a Studio section are also available, suggesting workspace or project organization features beyond basic chat.

Audience and Use Cases

The platform targets a broad audience — from casual users who want a single AI assistant for everyday tasks to developers who need quick code scaffolding or debugging help. The conversational entry point ("What are we cooking today?") and the curated prompt suggestions lower the barrier for non-technical users, while the React component builder and data analysis features serve more technical workflows.