Anthropic’s new ‘Projects’ feature looks to supercharge team collaboration with Claude AI

Anthropic website pictured on a smartphone screen with Claude AI model branding.
(Image credit: Getty Images)

Generative AI startup Anthropic has unveiled the launch of a new feature called Projects to embed its Claude AI more firmly into business workflows and deliver better responses by teaching it on corporate data.

Users can now organize their chats with Claude AI in Projects, which allows them to bring chat activities and outputs together and share them across teams.

According to Anthropic, the feature allows companies to feed their own corporate information into the model, in the form of style guides, codebases, or interview transcripts. This added context should mean Claude is able to provide better answers and responses across tasks “from writing emails like your marketing team to writing SQL queries like a data analyst”.

Projects are available on for Pro and Team customers and can be used with its latest large language model, Claude 3.5 Sonnet. Each project includes a 200,000 token context window to allow users to add relevant information, which Anthropic said is the equivalent of a 500-page book.

The idea here is to avoid the ‘cold start’ problem which is when AI systems don’t have enough data to make the right choices in a particular situation. By adding context like customer feedback or surveys, the AI ought to be able to deliver better outputs. 

Data or chats shared within Projects will not be used to train its models without a user’s explicit consent, Anthropic said.

Users can also define custom instructions for each Project to further tailor Claude’s responses, such as asking for responses in a more formal tone or for the AI to answer questions from the perspective of a specific role or industry.

Anthropic looks to ramp up coding capabilities

Earlier this week Anthropic unveiled Artifacts – a way of presenting the outputs from the AI like code or text. Users can ask Claude to generate content like code snippets, text documents, graphics, diagrams, or website designs, and these Artifacts appear in a window alongside your conversation.

“Artifacts especially enhance Claude’s coding capabilities for developers, offering a larger code window and live previews for frontends that streamline reviews,” Anthropic said.

Claude Team users can also share snapshots of their best conversations with Claude into a team’s shared project activity feed.

“Sharing work products that were co-created with Claude can improve innovation in areas like product development and research, where bringing together organizational knowledge from across the company can produce higher-quality outputs,” Anthropic said.


The company added it will expand the types of project knowledge users can bring to Claude in the coming months.

Anthropic also quoted a customer, consultancy North Highland, which has hundreds of employees across consulting, business development, and marketing using the Claude AI for jobs including writing proposals and analyzing complex documents like 10-Ks.

“The Claude Team plan is transforming our way of working at North Highland. Claude is a truly exceptional writer that has helped our team complete content creation and analysis tasks up to 5x faster than before — turning what was once two weeks of writing and research into minutes of work,” said Luka Anic, senior director of Technical AI Program and Product Manager at North Highland.

Anthropic’s move is the latest challenge to OpenAI

The idea behind Projects seems similar to the GPT Builder tool which is already offered by OpenAI. Similarly, the move appears to be a reflection of how the AI market is maturing – or at least evolving.

While the underlying LLMs continue to leapfrog each other on benchmarks, these don’t say a huge amount about the real-world usefulness of these tools.

Moves like this which aim to embed AI tools into the standard workflow of the business day might help to boost usage – if the tools themselves can prove to be consistently useful. And moving away from the obsession with abstract benchmarks towards day-to-day utility might help move AI beyond the hype.

For Anthropic, it’s also an interesting strategy because by focusing on collaboration it also risks going head-to-head with companies like Microsoft which not only has a strong position in the collaboration world with Teams but also a big stake on AI’s biggest star – OpenAI.

Steve Ranger

Steve Ranger is an award-winning reporter and editor who writes about technology and business. Previously he was the editorial director at ZDNET and the editor of