About AIML App

The platform where teams research with AI together

AIML App is a collaborative AI platform that brings together shared chat rooms, four world-class AI models, a social feed, community discussions, and professional networking — all in one place.

4
AI Models
Real-time
Collaboration
300+
Edge Locations
100%
Free to Start
Our Mission

Making AI collaborative, accessible, and community-driven

We believe AI is most powerful when people use it together. AIML App was born from a simple observation: researchers, students, and teams were paying for multiple AI subscriptions and working in silos — asking the same questions separately, unable to share context or build on each other's discoveries.

We built AIML App to change that. A single platform where you create a room, share a link, and everyone researches together with the world's best AI models — in real-time. Plus a full social layer for sharing knowledge and building professional connections.

Collaboration First

Every feature is designed for teams to work together, not alone.

Accessibility

Free to start, no credit card. AI should be available to everyone.

Innovation

Four AI models, real-time sync, AI+Group toggle — features no one else has.

Trust & Security

Enterprise-grade infrastructure on Cloudflare's global edge network.

Platform Features

Every feature, explained with real examples

Deep dive into what makes AIML App a complete AI-powered collaboration platform.

01
🏠 Shared AI Chat Rooms
Create collaborative rooms where multiple users chat with AI together. Everyone sees questions and AI responses in real-time. Share a link and anyone can join.
  • One-click invite links — Share a URL, teammates join instantly
  • Full history for joiners — latecomers see the entire conversation
  • Real-time WebSocket sync — messages appear instantly for everyone
  • Reactions & mentions — react with emojis, @mention teammates
  • Room roles — Owner, Moderator, Member, and Viewer permissions
  • Pin & archive rooms — Organise your room collection
Real-World Example
A machine learning team of 5 at a startup creates a room called “Model Architecture Review”. The lead engineer asks GPT-4.1 to compare LSTM vs Transformer architectures. A junior engineer follows up asking DeepSeek to write the attention mechanism in PyTorch. The PM joins late but sees the full conversation history. They react with 🔥 on the best answer and @mention the CTO to review it.
02
🤖 Four AI Models, One Platform
Switch between GPT-4.1, Google Gemini, DeepSeek, and Anthropic Claude mid-conversation. Each model has unique strengths — compare answers and always get the best response.
  • GPT-4.1 — Best for reasoning, code, creative writing, and analysis
  • Google Gemini — Fast, great for research, facts, and multilingual
  • DeepSeek — Exceptional for coding, maths, and structured output
  • Anthropic Claude — Excellent safety, analysis, writing, and 200K context
  • One-click switching — Change models without leaving the conversation
  • Model labels — Every response shows which model generated it
Real-World Example
A student asks GPT-4.1: “Explain the CAP theorem with real database examples.” Gets a great explanation. Then switches to DeepSeek and asks: “Write a Python simulation demonstrating partition tolerance.” Gets production-ready code. Then asks Gemini: “Which companies use CP vs AP databases in production?” Gets up-to-date industry examples. Three perspectives, one conversation.
03
🔀 AI & Group Chat Mode Toggle
Switch between AI-assisted chat and pure group discussion with one click. In Group mode, teammates chat among themselves. Use @ai prefix to selectively invoke AI assistance.
  • Branded toggle button — Beautiful switch next to the Send button
  • AI Mode (Indigo) — Every message goes to the AI model for response
  • Group Mode (Green) — Messages stay between team members only
  • @ai prefix — In Group mode, type @ai to invoke AI on demand
  • Real-time broadcast — Mode changes sync to all participants instantly
Real-World Example
A product team is planning their next sprint. They switch to Group Mode and discuss priorities among themselves: “Should we prioritize the notification system or the analytics dashboard?” After reaching consensus, someone types “@ai Write a PRD for a real-time notification system with priority levels, quiet hours, and digest mode” — the AI generates a detailed product spec right inside the group discussion. Best of both worlds.
04
📰 Social Content Feed
A LinkedIn-style content feed where users share articles, AI discoveries, insights, and ideas. Like, comment, bookmark, and discover trending content from the community.
  • Create rich posts — Share text, links, and media with the community
  • Engagement — Like, comment, and bookmark posts
  • Discover content — Browse trending posts from AI professionals
  • Bookmarks — Save posts to revisit later
Real-World Example
A senior engineer posts: “Just reduced our LLM inference latency by 40% using speculative decoding with a small draft model. Here's the approach...” The post gets 24 likes and 12 comments. Other engineers bookmark it. A data scientist comments asking for benchmark numbers. The knowledge spreads organically through the community.
05
💬 Community Discussions
Topic-based discussion threads where users start conversations, ask questions, share knowledge, and learn from each other. Filter by tags, discover trending topics.
  • Threaded discussions — Start topics, reply, and build knowledge
  • Tags & filtering — AI, ML, Python, DevOps, Research, and more
  • Engagement — Like, share, and bookmark discussions
  • Trending — Discover the hottest conversations
Real-World Example
Priya posts a discussion tagged [AI]: “Best resources to learn transformer architecture from scratch?” Within hours, 12 replies pour in with paper links, YouTube courses, GitHub repos, and personal tips. She bookmarks the best responses. Mohit shares the thread with his study group. The discussion becomes a curated learning resource.
06
🤝 Professional Networking
Build your AI professional network. Discover people with similar interests, send connection requests, browse community members, and grow your circle.
  • People discovery — Find researchers, engineers, and students
  • Connection requests — Send, accept, and manage connections
  • Direct messages — Chat privately with your connections
  • Search — Find people by name, skills, or interests
Real-World Example
Raj sees Vikram's insightful post about speculative decoding on the feed. He visits Vikram's profile, sees he's a Senior ML Engineer working on LLM optimization. Raj sends a connection request with a note: “Loved your post on speculative decoding — we're working on similar problems at our company.” Vikram accepts, and they begin a private conversation about collaboration.
Technology

Built on world-class infrastructure

Enterprise-grade technology stack designed for speed, security, and global scale.

⚡
Cloudflare Workers
Serverless compute on 300+ edge locations worldwide. Sub-50ms latency globally.
🗄️
Cloudflare D1
SQLite-based distributed database at the edge. Fast reads, durable writes.
🔌
Durable Objects
Real-time WebSocket relay for live collaboration. Low-latency message broadcast.
🔒
Enterprise Security
HTTPS everywhere, PBKDF2 hashing, secure tokens, and session management.

Ready to experience collaborative AI?

Create a shared AI room, explore the community, and connect with fellow AI enthusiasts. Free to start, no credit card required.

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