Using Multiple AI Tools at the Same Time: Why and How

You have one ChatGPT tab open, another for Claude, a third for Perplexity, and you’re juggling between all three depending on the task at hand? You’re not alone. More and more users are looking to use multiple AI tools at the same time, because no single one does everything better than the others. This article explains why this approach makes sense, what makes it painful in practice, and what solutions exist to simplify things.

Why No Single AI Does Everything Better

Each model was trained differently, with different priorities. The result: distinct strengths and weaknesses, even as all are improving rapidly.

Claude, for Writing and Structured Reasoning

Claude (Anthropic) is often praised for writing quality: natural tone, clear structure, ability to follow precise style guidelines. Many writers, students, and professionals use it as their first choice for drafting or refining longer texts.

Perplexity, for Sourced Research

Perplexity stands out for its ability to answer by citing sources, with verifiable links. It’s the tool to rely on when you need recent, traceable information rather than a generated response without references.

ChatGPT, for Versatility

ChatGPT (OpenAI) remains a safe bet for just about any use: brainstorming, coding, summarizing, conversation. It doesn’t always excel at one specific thing, but it’s rarely poor, making it a solid starting point.

Gemini, for Google Ecosystem Integration

Gemini benefits from its connection to Google tools (Docs, Gmail, Search). Useful if your daily work already revolves around these products.

DeepSeek, for Reasoning at Lower Cost

DeepSeek has made a name for itself with solid reasoning performance at very low usage costs, making it an interesting option for technical tasks or coding.

If you want to explore the differences between models in more detail, this guide to choosing an AI in 2025 compares their strengths based on use cases.

The Real Problem: Juggling Multiple Accounts

On paper, using multiple AI tools at the same time seems simple: just open multiple tabs. In practice, three frictions quickly emerge.

Separate and Often Frustrating Quotas

Each service offers limited free access, with its own rules: messages per day, per hour, or per model. When you hit the limit on one service, you have to switch to another, often in the middle of a task.

Different Interfaces to Relearn

Each tool has its own shortcuts, conversation system, and settings. Switching between AI tools means switching habits too, even minor ones. Over time, this mental cost adds up.

Loss of Context Between Tools

This is probably the most annoying point. A conversation started in ChatGPT doesn’t continue in Claude. You have to copy-paste the context, re-explain your request, sometimes rephrase what you already got elsewhere. This break interrupts your workflow, especially on projects requiring multiple exchanges.

Solutions for Using Multiple AI Tools Without Complicating Life

Multiple Tabs: a Limited Solution

It’s the most intuitive option, but it has a ceiling. It works for occasional and simple use cases. Once volume increases or tasks become more complex, managing multiple windows becomes a workload itself.

Choosing a Single Generalist AI

Some prefer to focus on one tool, even if it means losing specialization on certain tasks. It’s a reasonable compromise if your needs are homogeneous (for example, writing only). But as soon as uses diversify — writing, research, coding, images — the limitations of a single model become apparent.

The Aggregator Approach: One Interface, Multiple Models

A third option is to go through a single interface that provides access to multiple AI models, with a shared conversation history. The benefit: you keep the context of a task when switching between models, without multiplying accounts or passwords.

noov.ai works on this principle: ChatGPT, Claude, Gemini, DeepSeek, and Perplexity are brought together in a single interface, with daily free access to each. The idea isn’t to replace these models, but to avoid the friction of managing five separate accounts to benefit from them. You can try noov.ai for free to see firsthand how this kind of unified interface simplifies switching between models.

This approach also has its limitations: it depends on a third-party service, and some features very specific to a model (native plugins, proprietary integrations) aren’t always available. It’s best suited for those who want to compare responses or quickly switch between uses, without necessarily leveraging the most advanced options of each platform.

How to Decide Based on Your Use Case

The right strategy depends on the frequency and diversity of your needs.

• Occasional use, single task: one tool is enough, chosen based on the task at hand.
• Regular use, varied tasks (writing, research, coding): an interface that centralizes multiple models avoids management fatigue.
• Need to compare responses between models before deciding on an important topic: aggregation lets you test multiple perspectives quickly, in a single conversation.

If you’re still unsure which model to prioritize based on your profile, this comparison of available AI tools in 2025 details the criteria to consider: cost, specialty, data privacy.

In Summary

Using multiple AI tools at the same time makes sense: each model has real and distinct strengths. The problem isn’t the diversity of tools, but the friction of managing them separately — quotas, interfaces, lost context. Multiple tabs work for light use. For more sustained use, an interface that centralizes multiple models significantly reduces this burden, without forcing you to choose a single tool at the expense of others.