I’ve just launched Maskara.ai, a simple web‑app that lets you chat with several AI models at once.
Instead of opening separate tabs for ChatGPT, Claude, Gemini, Grok, etc., you drop them all into a single group‑chat window. The models can see each other’s replies, so you get collaborative, real‑time responses that build on one another.
Why it’s useful
Compare answers instantly – see how different models reason about the same prompt.
Combine strengths – let one model generate a draft, another critique it, and a third polish the language.
Save time – no need to copy‑paste between multiple consoles; everything happens in one chat.
Experiment – mix‑and‑match any public LLM endpoints (OpenAI, Anthropic, Google, open‑source models) without writing code.
How it works
Add the models you want to talk to (API keys or public endpoints).
Start a group chat and type a question.
The platform forwards the prompt to each model, collects the replies, and displays them in a single thread.
Reply as you would in any chat; the next round of prompts includes the whole conversation, so the AIs can build on each other’s output.
A quick demo
Open https://maskara.ai
Choose ChatGPT, Claude, Gemini and Grok.
Ask: “What’s a good way to reduce latency in a Node.js API?”
Watch the models propose different solutions and then refine each other's suggestions.
Who might find it useful?
Developers who want to benchmark LLMs side‑by‑side.
Writers and marketers looking for creative brainstorming across models.
Researchers who need multiple perspectives on a problem.
Anyone curious about how different AI models interact when they can “see” each other’s output.
Feedback & roadmap
I’m looking for early‑user feedback on usability, pricing, and feature ideas (e.g. community‑shared prompts). If you try it, please drop a comment or DM me on X (@MaskaraAi) with your thoughts, bugs, or feature requests.
Instead of opening separate tabs for ChatGPT, Claude, Gemini, Grok, etc., you drop them all into a single group‑chat window. The models can see each other’s replies, so you get collaborative, real‑time responses that build on one another.
Why it’s useful Compare answers instantly – see how different models reason about the same prompt. Combine strengths – let one model generate a draft, another critique it, and a third polish the language. Save time – no need to copy‑paste between multiple consoles; everything happens in one chat. Experiment – mix‑and‑match any public LLM endpoints (OpenAI, Anthropic, Google, open‑source models) without writing code. How it works Add the models you want to talk to (API keys or public endpoints). Start a group chat and type a question. The platform forwards the prompt to each model, collects the replies, and displays them in a single thread. Reply as you would in any chat; the next round of prompts includes the whole conversation, so the AIs can build on each other’s output. A quick demo Open https://maskara.ai
Choose ChatGPT, Claude, Gemini and Grok. Ask: “What’s a good way to reduce latency in a Node.js API?” Watch the models propose different solutions and then refine each other's suggestions. Who might find it useful? Developers who want to benchmark LLMs side‑by‑side. Writers and marketers looking for creative brainstorming across models. Researchers who need multiple perspectives on a problem. Anyone curious about how different AI models interact when they can “see” each other’s output. Feedback & roadmap I’m looking for early‑user feedback on usability, pricing, and feature ideas (e.g. community‑shared prompts). If you try it, please drop a comment or DM me on X (@MaskaraAi) with your thoughts, bugs, or feature requests.
Try it now: https://maskara.ai