Group conversations, files, and custom instructions into dedicated workspaces. Use any AI model—ChatGPT, Claude, Gemini, or Grok—within a single project environment.
Project folders are vectorized by converting all files and conversations into semantic embeddings, allowing the AI to instantly retrieve the most relevant context from across the entire project in milliseconds. The result: When you ask a question, the AI really goes through all files, and understands the context before answering.
Every conversation within a project shares the same foundation. Your AI understands your goals, terminology, and preferences from the start.
Upload documents, data, and reference materials once. Every AI model in your project can access and leverage this information.
Switch between ChatGPT, Claude, Gemini, and Grok seamlessly. All models operate within your project context—no reconfiguration required.
Three simple steps to transform scattered AI conversations into a structured, productive workflow.
Define a clear objective—whether it's market research, content strategy, product development, or client work. Give it a name and optional description.
Upload relevant files, set custom instructions, and define how AI should approach tasks within this project. Establish your standards once.
Start conversations using ChatGPT, Claude, Gemini, or Grok. Each model inherits your project context and delivers responses aligned with your objectives.
Every feature designed to maximize productivity and eliminate repetitive setup.
Define tone, format, terminology, and behavioral guidelines. Your AI follows these rules across every conversation.
Attach documents, spreadsheets, PDFs, and data files. AI models reference this material when responding to queries.
All project conversations remain organized and searchable. Reference past discussions without losing context.
Switch between AI models mid-project. Use Claude for analysis, ChatGPT for writing, Gemini for research—all sharing the same context.
Enable multi-model collaboration for complex tasks. Multiple AI models work together, cross-checking and refining outputs.
Your project data remains confidential. Enterprise-grade encryption and Swiss data protection standards.
From solo consultants to enterprise teams, Projects adapt to how you work.
Maintain codebase context, documentation standards, and architectural decisions across all AI-assisted development work.
Conduct market analysis, competitive research, and data synthesis with AI that understands your methodology.
Create consistent content across formats—blog posts, social media, documentation—with unified brand voice.
Study complex subjects with AI that tracks your progress, notes, and learning objectives over time.
Dedicate a project per client. Keep briefs, deliverables, communications, and discussions properly separated.
Strategic planning, product roadmaps, and decision-making with AI that remembers all relevant details.
Maximize your project effectiveness with these proven approaches.
Avoid mixing unrelated work. Create separate projects for distinct goals to maintain clarity and context integrity.
Establish your project's tone, rules, and expectations before starting conversations. This ensures consistency from the first interaction.
Add your source documents before asking questions. Comprehensive context produces more accurate and relevant responses.
Different AI models excel at different tasks. Use Claude for analysis, ChatGPT for creative writing, Gemini for research synthesis.
Projects elevate MultipleChat from a simple chat interface into a professional AI workspace. Work smarter with persistent context, centralized knowledge, and the flexibility to use any AI model.
No credit card required. Full access to all AI models.
