Fixy is a collaborative AI workspace designed for researchers and strategists who want to cross-reference multiple large language models before making a final decision. Instead of manually toggling between tabs, this platform brings agents from OpenAI, Anthropic, Google, and xAI into a shared environment to analyze the same prompt simultaneously. The tool’s primary value lies in its orchestration of these models; it forces them to engage with one another, highlighting disagreements and identifying points of consensus to help users spot potential hallucinations or biases. The interface functions like a group chat where human team members can participate alongside AI agents. You can prompt specific models to defend their reasoning or use the platform to synthesize a single, balanced summary from the collective output. Because the system operates on a bring-your-own-key model, it serves as a sophisticated control panel for power users who already have direct API access but need a better way to manage multi-model workflows. This setup is particularly effective for technical tasks like code review or product strategy, where seeing a variety of perspective is more valuable than receiving a single, unchallenged response.
Problem: Relying on a single AI model can lead to biased or narrow perspectives when making high-stakes business choices.
Solution: Fixy runs the same prompt across multiple models simultaneously, forcing them to engage with each other's reasoning to highlight potential blind spots.
Example: A product manager asks whether to build a mobile app or a web platform; the tool highlights that while most models suggest web, one model identifies a specific PWA advantage others missed.
Problem: Developers need to ensure their proposed infrastructure won't fail under specific conditions but may lack a neutral sounding board.
Solution: Using the adversarial Red Room mode, AI agents act as critics to poke holes in a technical proposal and challenge underlying assumptions.
Example: A lead developer submits a microservices plan, and the AI agents debate the trade-offs between cold starts and scalability to find the weakest points in the design.
Problem: AI models can hallucinate or provide inconsistent data points depending on their training sets.
Solution: The Consensus feature identifies when multiple independent models arrive at the same conclusion, providing a high-confidence signal for researchers.
Example: A researcher queries a specific industry statistic; the tool flags the answer as high-confidence only if all active models provide matching data points.
Target audience: Best for: Strategic researchers, Lead Developers, Product Managers, and Technical Consultants
Pricing: Subscription · Categories: Developer Tools, Productivity, Research
Tags: AI, ai agent, Productivity Tool, Research Assistant, summarizer
Visit Fixy — Let AIs Debate So You Get the Best Answer
Fixy is a multi-model AI workspace where agents from providers like OpenAI, Anthropic, Google, and xAI evaluate prompts simultaneously. It enables AI models to debate one another, helping users spot hallucinations, discover alternative perspectives, and identify consensus across different systems.
Fixy orchestrates large language models including GPT, Claude, Gemini, and Grok. Users interact with these models concurrently within shared rooms to evaluate complex questions, compare model reasoning, and run joint analysis.
The Red Room is an adversarial mode designed for stress-testing ideas and technical assumptions. In this mode, AI agents act as critics to uncover blind spots, challenge proposals, and debate technical trade-offs before implementation.
Fixy uses a Bring Your Own Key model. Users supply their own API keys from supported AI providers, meaning model usage costs are billed directly through their respective API accounts.
Fixy is offered under a subscription pricing model for access to its multi-model orchestration workspace, while underlying model consumption is managed directly through user-provided API keys.