Product Introduction

1. Chord is a collaborative platform that enables real-time multiplayer interactions with large language models (LLMs) and human participants within a unified chat interface. It integrates team collaboration tools with access to leading AI models like OpenAI, Anthropic, Gemini, and open-source alternatives, eliminating the need for manual context sharing.
2. The core value of Chord lies in its ability to unify human-AI collaboration by maintaining shared context, history, and multi-model interactions in a single workspace, streamlining workflows that previously required fragmented tools like ChatGPT links or disjointed team messaging platforms.

Main Features

1. Chord enables group chats with up to 20 human participants and multiple LLMs simultaneously, allowing users to tag specific AI models (e.g., GPT-4, Claude, Gemini) within a shared thread to generate responses or analyze data collaboratively.
2. The platform supports context import from existing LLM conversations, enabling users to paste chat histories, documents (PDF, CSV, JSON), or media files (images, text) directly into the chat for continuous analysis without losing prior insights.
3. Users can bring their own API keys to integrate proprietary or self-hosted LLMs while retaining access to Chord’s proxy service, ensuring full control over model usage and cost management alongside enterprise-grade security.

Problems Solved

1. Chord eliminates the inefficiency of manually sharing ChatGPT links or copying/pasting conversations across teams, which often leads to version mismatches and fragmented context.
2. The product targets remote teams, researchers, and enterprises requiring synchronized collaboration between human experts and AI models for tasks like data analysis, content creation, or decision-making.
3. Typical use cases include real-time brainstorming sessions with AI assistants, collaborative debugging of code using multiple LLMs, and cross-functional teams analyzing shared documents with AI-powered insights.

Unique Advantages

1. Unlike Slack or standalone LLM interfaces, Chord combines human-to-human and human-to-AI interactions in a single persistent workspace, with shared memory that retains context across all participants.
2. The platform innovates with "Party AI Chat," allowing users to tag multiple LLMs in one thread to compare outputs or chain model interactions, such as using GPT-4 for ideation and Claude for summarization.
3. Competitive advantages include native support for local/open-source models, full media file integration (unlike text-only LLM interfaces), and a unified billing/API management system for hybrid AI workflows.

Frequently Asked Questions (FAQ)

1. How many participants can join a Chord chat? Chord supports up to 20 human users and unlimited AI models per chat thread, with real-time synchronization of inputs and outputs across all participants.
2. Which LLMs are currently supported? The platform integrates OpenAI, Anthropic, Gemini, and any self-hosted models via API keys, with automatic context window optimization for each model’s token limits.
3. Can I import existing ChatGPT conversations? Users can paste entire ChatGPT histories into Chord, which parses them into structured context that remains accessible to all chat participants and tagged AI models.
4. How does API key management work? Users provide API keys for specific models through a secure vault, with usage tracking per chat thread and optional enterprise proxy services for compliance-sensitive organizations.
5. Is there a limit on file uploads for analysis? Chord accepts documents up to 100MB in formats like PDF, CSV, and JSON, with OCR support for images and multi-file context stitching for cross-referencing.