OpenAI Models · AI-Native Browser · macOS & Windows
Tabbit with GPT-Rosalind: AI-Powered Research Browser
Tabbit is an AI-native browser built for deep work. It brings frontier models, Agent Mode, and one-click context referencing into a native macOS & Windows app — so research flows instead of stalling.
What is GPT-Rosalind
OpenAI’s frontier model for life sciences
GPT-Rosalind is a specialized reasoning model from OpenAI designed for biology, genomics, protein engineering, and drug discovery. It supports evidence synthesis, hypothesis generation, and experimental planning through OpenAI’s trusted-access program.
Tabbit’s international edition continuously integrates the latest OpenAI frontier models. Its multi-model, agentic architecture means domain-specific models can be harnessed inside real browser workflows as they become available.
Model Ecosystem
Frontier models inside Tabbit
Switch between top-tier models from the same Omnibox. Tabbit International brings together OpenAI, Anthropic, Google, and regional leaders.
Analyze the current tab and summarize the key findings.
Research Scenarios
How researchers use Tabbit
Literature synthesis
Open dozens of papers, @-reference the tab group, and ask for a structured summary with citations.
Hypothesis exploration
Pose a question in the Omnibox and compare answers across GPT, Claude, and Gemini in seconds.
Experiment planning
Let Agent Mode search protocols, vendor pages, and databases while you refine the next step.
Data aggregation
Collect figures, prices, and results scattered across platforms into one clean report.
Why Tabbit
The browser built for research workflows
Omnibox
The address bar is also an AI input box — type a URL, a question, or a task.
@-reference
Reference tabs, screenshots, PDFs, bookmarks, and local files as context with one key.
Agent Mode
Natural-language tasks execute in isolated tab groups, so you and the agent work in parallel.
Vertical tabs & workspaces
Smart groups keep every project organized instead of buried under tabs.
Cross-model
Switch models on the fly when one isn’t enough for the job.
Comparison
Tabbit vs traditional research tools
See how an AI-native browser changes the research experience compared to conventional setups.
| Feature | Browser + ChatGPT | Notebook + Plugins | Tabbit |
|---|---|---|---|
| Browser context awareness | None — chat is isolated from the page | Manual copy-paste of URLs and snippets | ✓@-reference tabs, screenshots, PDFs & bookmarks |
| Agent execution across websites | Not available | Requires custom scripts or extensions | ✓Agent Mode runs multi-step tasks in isolated tab groups |
| Model switching | Single model per chat | Depends on plugin availability | ✓Switch GPT, Claude, Gemini, DeepSeek, Qwen, and more |
| Research workspace management | Basic chat history | File-based project folders | ✓Vertical tabs, smart groups, and AI workspaces |
| Desktop platform | Web only | Web or local app with setup | ✓Native macOS & Windows app |
| Privacy-first execution | Conversations stored on provider servers | Depends on plugin/API setup | ✓Tasks run locally in isolated tab groups |
FAQ
Questions about Tabbit and GPT-Rosalind
GPT-Rosalind is currently a research-preview model offered through OpenAI’s trusted-access program. Tabbit’s international edition continuously integrates the latest OpenAI frontier models and provides a multi-model architecture, making it ready for domain-specific models as they become broadly available.
Start using Tabbit for research
Download Tabbit for macOS or Windows and turn your browser into an AI research workspace.