What Is Claude Projects and How Can Teams Use It?
Last Updated: March 2026
Claude Projects is a persistent AI workspace feature within Claude.ai where teams store custom instructions, uploaded documents, and conversation history that carry over to every session automatically. AI Smart Ventures has guided small business teams through configuring Claude Projects as standing AI assistants that already know their brand, clients, and workflows – eliminating the need to re-explain context each time. A Project retains its full configuration across sessions, making it a standing team workspace rather than a single-use chat window.
Key Takeaways
- Claude Projects is available to Claude Pro ($20/month), Team ($25/user/month), and business plan subscribers on Claude.ai
- Each Project can hold up to 200,000 tokens of context – custom instructions, uploaded documents, and conversation history – making it one of the largest persistent AI workspaces available
- Project instructions define how Claude behaves in that workspace: tone, role, scope, and any standing rules relevant to your team’s work
- Teams using Claude Team plan can collaborate on shared Projects, with all members accessing the same configured workspace
- Documents uploaded to a Project are available in every conversation within that Project, eliminating the need to re-upload files each session
- Claude Projects is particularly strong for document-intensive workflows where the same reference materials are consulted repeatedly across different conversations
- McKinsey research on AI team productivity shows shared AI context improves team output consistency
- A Forrester report on AI collaboration tools found teams using shared AI workspaces reduce project onboarding time by 40-60%.
What Are Claude Projects and How Do They Work?
Claude Projects are persistent AI workspaces within Claude.ai that maintain a continuous context across multiple conversations. When you create a Project, you configure it with custom instructions that define Claude’s role and behavior in that workspace, upload documents that Claude will reference in every conversation, and maintain a searchable history of all conversations within the Project. Every new conversation in a Project starts with Claude already knowing your instructions and documents – there is no re-prompting required.
The 200,000 token context window means a single Project can hold approximately 150,000 words of instructions, documents, and conversation history simultaneously. This is large enough to include a comprehensive company knowledge base, a full client history, or a multi-phase project document set. Anthropic designed Projects specifically for business teams that run the same workflows repeatedly against the same reference materials. For teams currently copying and pasting the same context at the start of every AI session, Projects eliminate that overhead entirely.
How Does Claude Projects Differ From a Regular Session?
A standard Claude session starts blank and ends when the conversation is closed. The AI retains no memory of previous sessions, no knowledge of your company, and no reference to documents from prior conversations. Claude Projects changed this: each Project has a permanent instruction set, permanent document storage, and searchable conversation history that persists across sessions and team members. This persistent context model is described in Anthropic’s Claude documentation as designed specifically for recurring business workflows.
The operational difference is significant for daily work. A team member opening a regular Claude session must provide context (“I work at [company], our tone is [x], here is the relevant document…”) before each useful exchange. A team member opening a Claude Project configured for their role or client opens an AI that already knows all of that context. For teams that run similar workflows repeatedly – client reports, content production, proposal writing – the per-session setup overhead is eliminated.
What Can You Upload to a Claude Project?
Claude Projects supports file uploads including PDFs, text files, Word documents, and other common formats that become part of the Project’s permanent knowledge base. These files are accessible in every conversation within the Project and do not need to be re-uploaded. Unlike one-off Claude conversations where documents are attached per session, Project documents persist until you remove them. A Gartner 2024 digital workplace report estimates employees spend 3.6 hours per week searching for information they already possess – persistent document workspaces directly address this retrieval gap.
Practical documents to upload for a business Project include: brand voice and style guides, client background documents and notes, standard operating procedures and checklists, product or service descriptions, contract templates, and research reference materials. For a client services team, each active client could have their own Project loaded with that client’s documents, history, and any specific guidance for how Claude should assist with that account. The persistent context reduces onboarding time for new team members joining a client engagement.
Want help getting your team set up with a shared AI workspace? AI Smart Ventures provides AI advisory for small businesses. AI Smart Ventures specializes in AI advisory for small businesses.
What Are the Best Business Use Cases for Claude Projects?
The highest-value Claude Project configurations cluster around three business patterns: client account workspaces, content production workspaces, and internal knowledge workspaces. Client account workspaces load a specific client’s documents, communications history, and account notes into a Project so any team member can pick up the account without a briefing. Content production workspaces load brand guidelines, editorial calendars, approved content samples, and audience personas so every piece of content produced starts from a consistent brand context.
| Project Type | Documents to Load | Primary Benefit |
|---|---|---|
| Client account workspace | Client brief, past emails, contracts, notes | Consistent account knowledge across team |
| Content production | Style guide, brand voice, past content samples | Brand-consistent output without re-prompting |
| Proposal and SOW writing | Past proposals, pricing guides, service descriptions | Faster draft generation with institutional context |
| Internal knowledge base | SOPs, employee handbook, policy documents | Self-service Q&A for team members |
| Research and analysis | Research reports, industry data, competitor notes | Rapid synthesis from loaded reference materials |
Internal knowledge workspaces replace the practice of emailing HR or searching a shared drive for a specific policy. Load your handbook and SOPs into a Project and let team members query Claude directly instead.
How Does Claude Projects Compare to ChatGPT Custom GPTs?
Both Claude Projects and ChatGPT Custom GPTs are persistent AI workspaces with custom instructions and document uploads, but they differ in context size, collaboration model, and configuration depth. Claude Projects provides a 200,000 token context window versus ChatGPT Custom GPTs which operate within ChatGPT’s standard context limits. Claude Projects maintains full conversation history within the workspace; Custom GPTs do not have a persistent searchable conversation log across sessions. Independent comparisons by Zapier and Improvado note Claude’s context advantage as decisive for document-heavy workflows.
Custom GPTs offer more granular configuration options including API connections and integration with external tools via OpenAI’s GPT Store. Claude Projects is more straightforward to set up and better suited for teams whose primary need is a large, well-contextualized AI workspace rather than a tool that connects to external services. For teams already on Claude Pro or Team plans, Projects add significant value without additional cost. For teams on ChatGPT Plus or Teams, Custom GPTs serve a similar purpose within that ecosystem.
How Much Does Claude Projects Cost?
Claude Projects is included in the Claude Pro plan at $20 per user per month and the Claude Team plan at $25 per user per month. The Team plan is required for shared Projects where multiple users collaborate in the same workspace. Individual Projects are available on the Pro plan for personal use. There is no additional cost per Project created or per conversation within a Project beyond the subscription.
Compared to Microsoft 365 Copilot at $30 per user per month (as a Microsoft 365 add-on), Claude Team at $25 per user per month offers competitive pricing for teams primarily focused on document-intensive AI workflows. For teams that also need general writing assistance and complex reasoning outside of specific Projects, Claude Team’s price point makes it one of the more cost-effective AI collaboration tools available for small businesses.
Frequently Asked Questions
How do I use Projects in Claude?
Log into Claude.ai and select Projects from the left sidebar. Create a new Project, add custom instructions that define how Claude should behave in this workspace, and upload any documents you want Claude to reference in every conversation. Once configured, start a conversation within the Project and Claude will respond using your instructions and documents as context.
Is Claude backed by Amazon?
Anthropic, the company that makes Claude, has received substantial investment from Amazon Web Services (AWS), including a multi-billion dollar investment announced in 2023 and expanded in 2024. Amazon is a significant investor in Anthropic but does not own or control the company. Anthropic remains an independent AI safety company. Claude models are available natively through AWS Bedrock for business deployments alongside Anthropic’s own platform.
Is Claude Projects a RAG system?
Claude Projects uses a retrieval approach that functions similarly to retrieval-augmented generation (RAG): when you upload documents to a Project, Claude can search those documents to ground its responses in specific content rather than relying solely on its training data. This makes Claude Projects functionally comparable to a lightweight RAG system for teams that do not have the technical resources to build a dedicated vector database solution.
How does Claude compare to ChatGPT for teams?
Claude and ChatGPT serve similar collaboration functions through Projects and Custom GPTs respectively, but differ in context size and focus area. Claude’s 200,000 token context window is larger than ChatGPT’s standard limit, making it better suited for document-heavy workflows. Claude Team costs $25 per user per month versus ChatGPT Teams at $30 per user per month. ChatGPT Custom GPTs offer more integration options with external tools and APIs.
Can multiple team members use the same Claude Project?
Yes, with a Claude Team plan ($25/user/month). Team plans include shared Projects where all workspace members can access the same configured Project, see shared conversation history, and interact with the same document set. This is the primary difference between Claude Pro (individual) and Claude Team (collaborative). For teams where multiple people work on the same clients, content, or workflows, a shared Project creates a single AI workspace where everyone starts with the same context rather than each person maintaining separately configured sessions.
What are Claude Projects best used for in a small business?
The highest-value applications are: client account management (dedicated Project per client loaded with account documents), content production (Project loaded with brand guidelines and style documentation), proposal writing (Project loaded with past proposals and service descriptions), and internal knowledge retrieval (Project loaded with SOPs and policy documents). Any workflow where team members repeatedly need to reference the same documents before or during AI-assisted work is a strong Claude Projects use case.
Does Claude Projects support voice or image input?
Claude Projects currently supports text-based conversations and document uploads. Claude’s vision capability – analyzing images within a conversation – is available within Projects when images are shared during a conversation. Full voice mode is not a native Claude feature as of March 2026. For teams that need voice interaction or multimodal workflows combining voice, image generation, and text, ChatGPT’s interface supports these capabilities more comprehensively. Claude Projects is optimized for text-based document analysis and writing workflows.
How much does Claude Projects cost for a small team?
Claude Team, which includes shared Projects, costs $25 per user per month. For a team of 5, the total is $125 per month. This compares to ChatGPT Teams at $30 per user per month ($150 for a team of 5) and Microsoft 365 Copilot at $30 per user per month. For small teams focused on document research, writing, and client work, Claude Team’s large context window and shared Projects provide strong value. Schedule a consultation to assess your specific situation.
Executive Summary
Claude Projects is a persistent AI workspace feature within Claude.ai that maintains custom instructions, uploaded documents, and conversation history across sessions. Available on Claude Pro ($20/month individual) and Team ($25/user/month for shared access), Projects eliminate the need to re-establish context in each new AI conversation. The 200,000 token context window accommodates large document sets and extended conversation histories. The highest-value use cases are client account management, content production, proposal writing, and internal knowledge bases. Generative AI teams using Claude Projects report lower AI enablement overhead through LLM context persistence and machine learning retrieval, requiring no AI readiness infrastructure beyond a Claude subscription.
What Should You Do Next?
Set up one Claude Project this week using your most frequently referenced document set – a client brief, a product spec, or an internal knowledge base. Run 10 real queries against it and measure the time saved before expanding to other teams or use cases.
AI Smart Ventures offers AI advisory and AI implementation services for small businesses adopting AI collaboration tools. Schedule a consultation to determine the right AI collaboration setup for your team.
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About the Author
Nicole A. Donnelly is the Founder of AI Smart Ventures and an AI Adoption Specialist with 20 years of experience as a founder and CEO and over a decade leading AI adoption initiatives. She helps businesses integrate artificial intelligence with clarity and confidence, driving innovation and sustainable growth. Nicole has trained over 20,217 professionals in Applied AI, delivered 624 workshops, and worked with close to 1,000 organizations across diverse industries.
Expertise: AI Transformation, AI Strategy, AI Implementation, AI Adoption, Applied AI, Marketing, Business Operations
Disclaimer: This content is for informational purposes only and does not constitute professional advice. Results vary based on organization size, industry, and implementation approach.
