Ninja

MyNinja.ai presents itself as an all-in-one, browser-based AI workspace that lets users summon multiple state-of-the-art models in a single chat thread without switching tabs or accounts. The landing page emphasizes “One chat, every model”, highlighting that users can call GPT-4, Claude-3, Gemini, Llama-3, Mistral, StableDiffusion, DALL-E and more simply by tagging @-style inside the same conversation. This multi-model approach is positioned as the fastest way to compare answers, mix reasoning styles, or chain image, text and code outputs without copy-pasting between services.

Core features extracted from the site
1. Unified Chat Interface: every model is addressed with @name; answers appear in-line, color-coded by model, so conversations stay readable.
2. Pay-as-you-go Tokens: no monthly lock-in; users preload credits that are consumed per prompt, making premium models accessible for light or sporadic use.
3. Ninja Mode: a one-click privacy toggle that turns off chat history storage and model training on user data, appealing to professionals handling sensitive IP.
4. Side-by-Side Canvas: responses can be popped out into resizable panes for instant visual comparison, useful for code diff, image variants or document rewrites.
5. Built-in Web Search & YouTube Summarizer: @search and @youtube commands retrieve live data or condensed transcripts, then let any model reason over the fresh content.
6. Prompt Library & Custom Personas: community-curated prompt packs can be cloned and edited; users can also save their own system prompts as reusable @personas.
7. Team Workspaces: share credit pools, folders and thread histories with granular role rights; billing is centralized while chats remain private per member.
8. Export & Integration: threads export as markdown, PDF or JSON; an API key is provided for low-code automation or embedding Ninja chats inside other products.

The page repeatedly stresses speed, cost control and privacy: no subscription walls, no vendor lock-in, and European GDPR hosting by default. Target audiences range from freelancers testing prompts to enterprises that need audited, multi-model workflows without negotiating separate contracts with each provider.