The most comprehensive AI hub — frontier LLM research, 30+ interactive tools, multi-agent systems, browser ML, playgrounds, and deep research analysis.
30+
AI Tools
6+
Frontier LLMs
15
Browser ML
6
AI Agents
5
Playgrounds
80+
Bot Commands
Browser ML runs locally. LLM tools use secure API calls.
Optimized for fast inference using WebGL and Edge Runtime.
Built with TensorFlow.js, LangChain, and open-source models.
Deep research analysis of 2025-2026's most advanced language models
What do you want to do? Click a use case to find the right tool.
Multi-model chat interfaces, specialized agents, and Telegram bot
Runs entirely in your browser — no server needed. Powered by TensorFlow.js & MediaPipe.
Utilities for prompt engineering, LLM development, and AI safety
Estimate tokens & API costs
0
GPT Tokens
0
Claude Tokens
0
Words
0
Characters
Visualize context usage across models
0
Tokens Used
200,000
Remaining
200,000
Max Tokens
5 interactive AI experiments — decision trees, personas, emotion detection, and more
How all the pieces fit together — from foundation models to end-user applications
A guided journey through AI — from basics to advanced agent systems
Start with interactive playgrounds to understand how AI works.
Run machine learning models directly in your browser — no setup required.
Experience large language models through multi-model chat interfaces.
Use AI agents with tool-use, RAG, and multi-agent collaboration.
Compare frontier models and dive into agent architectures.
Deep dive into AI agents, text detection, and cutting-edge AI research topics
50+
Papers Synthesized
85-99%
Best Detection Accuracy
6.2M+
RAID Benchmark Samples
2
Active Research Topics
The most exciting developments shaping the future of artificial intelligence.
GPT, Claude, Llama and beyond
Image and video understanding
AI that can take actions
On-device machine learning
AI-powered development
Text, image, audio fusion
Collaborative AI orchestration
Drug discovery & research
Stanford University AI & Machine Learning certifications
Curated books on AI strategy, implementation, and the future
Adam Brotman & Andy Sack
Ethan Mollick
Mustafa Suleyman
O'Reilly
Reid Hoffman + GPT-4
T. Davenport & N. Mittal
Comprehensive knowledge covering Agentic AI, Model Context Protocol (MCP), LLM integrations, computer vision, and applied AI patterns.
From interactive tools and multi-agent systems to deep research on frontier LLMs — everything AI in one place.