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What is Claude?

ClaudeAn AI assistant developed by Anthropic, available on the web, desktop, and mobile, designed for tasks involving text, files, data, and code. In addition to continuous Q&A, it can organize materials into downloadable office documents or generate and edit documents, charts, and interactive tools within a dedicated workspace, making it ideal for tasks that require repeated review, discussion, and the production of deliverables.

Anthropic was founded in 2021 and focuses primarily on AI models and safety research, with an emphasis on system reliability, interpretability, and controllability. The company was established inMarch 14, 2023: Introducing Claude...Initially, it covers uses such as summarization, writing, Q&A, and coding. Here, "Claude" refers both to the assistant brand and to the model name; the launch of a particular generation of the model does not equate to the first release of the entire assistant.

In June 2024, Anthropic previewed Artifacts alongside the release of Claude 3.5 Sonnet, allowing generated content to open alongside the conversation and be continuously edited; in August of the same year, Artifacts was officially made available to a wider audience. In September 2025, file creation and editing capabilities were introduced, allowing conversation outcomes to be directly saved as Excel, Word, PowerPoint, and PDF files. These iterations gradually filled in the gaps in the process, from brainstorming ideas to delivering final materials.

Claude's Key Features

Reading and Writing: Analyzing Materials with Specific Questions in Mind

Users can provide documents, text, or code and ask Claude to summarize the content, compare different versions, explain difficult points, and continue revising it. A more effective approach is to first state the problem you need to solve, then ask Claude to distinguish between facts explicitly stated in the material, inferences drawn from those facts, and information that is still missing. For example, when reviewing product specifications, you can first check for contradictions between feature descriptions and then draft a clearer version, rather than simply asking Claude to “polish it to sound more professional.”

Document Creation and Analysis: Producing Office Documents That Can Be Reused

File Creation FeatureIt can run code to process uploaded data and generate Excel files containing calculations and charts, as well as Word, PowerPoint, and PDF documents. It is ideal for combining analysis and delivery into a single workflow—for example, compiling statistical results from a CSV file and then generating reports and presentations. When submitting a request, please clearly specify the file types, worksheet or section structure, units, formula definitions, and any raw data that needs to be retained.

After downloading, you should still open the file in the appropriate office software to check: whether the formulas actually exist, whether the chart ranges are correct, whether text is overflowing, and whether the file can be edited normally. Creating files consumes your account’s usage quota; complex calculations and repeatedly generating large files typically consume more than regular Q&A interactions. Organizational accounts may also be subject to administrator settings.

Artifacts: Refining Your Work Through Dialogue

Artifacts places deliverables that need to be reviewed separately into dedicated areas, including documents, designs, visualizations, and interactive tools. Users can start with a template or describe their requirements directly, then suggest revisions while reviewing the results. For example, when turning training content into a clickable quiz, if a user finds that the prompt for a particular question is unclear, they can directly request feedback to revise that specific question.

The key acceptance criteria differ between interactive projects and office documents. For the former, it is necessary to test buttons, input fields, and state changes; for the latter, it is necessary to check formatting, calculations, and editing capabilities. If the project also involves external applications or data storage, the corresponding permissions and terms of use must be further verified; a successful preview alone should not be considered equivalent to a full launch.

Projects and Networked Search: Organizing Long-Term Context and New Materials

Projects allow you to centrally store materials and requirements related to a single topic, providing context for subsequent discussions within the project. They are ideal for continuously maintaining client profiles, product descriptions, or writing projects, reducing the need to repeatedly upload the same set of files or restate the same requirements. When files are updated, older versions should be replaced to clearly indicate which materials are still valid.

When you need up-to-date information, you can use online search to analyze external sources alongside existing documents. Citations in search results should be cross-checked against the original sources; when project documentation and web sources conflict, note the discrepancies and verify the reasons for them. Developers who need to work with code repositories and engineering tools can also use Claude Code, which operates differently from the code suggestions provided in regular chat.

In what situations is Claude suitable?

• Research and Editing:This tool is designed to compare perspectives across multiple documents, organize their structure, and revise lengthy texts; it is particularly well-suited for tasks that involve existing reference material and require multiple rounds of discussion.
• Production of Office Materials:Generate downloadable documents, spreadsheets, and presentations from raw data, meeting minutes, or reports, and continue to refine their structure and formatting.
• Training and Product Prototypes:Use Artifacts to turn descriptions into interactive quizzes, diagrams, or widgets, making it easier for teams to discuss requirements through hands-on activities.
• Ongoing Project Collaboration:Place the project background, terminology, and materials in "Projects," and conduct analysis and content creation separately. Before sharing, verify the visibility settings for team members.

How to Create a Set of Training Materials Using Claude

Taking “developing new employee training based on existing product documentation” as an example, the task can be broken down into three phases: reviewing materials, confirming content, and accepting the final product.

1. Prepare the background.Create a relevant project or start a new conversation, upload valid versions of the product specifications and process documentation, and specify the audience’s background, the duration of the training, and which content is not yet available to the public.
2. Check the information first.It states: “Please list the concepts and operations that new users must master, indicating the corresponding documents and sections; items not specified in the materials should be marked as ”to be confirmed,’ and no additional feature commitments should be added.” Correct any omissions or conflicts first, then proceed with production.
3. Confirm the course structure.The content should be organized according to real-world tasks—such as creating records, checking statuses, and handling exceptions—rather than simply copying the table of contents from the original text. Each section should include learning objectives, key steps, and a question to assess understanding.
4. Select a delivery method.When in-person training is required, you can request editable PowerPoint and Word handouts; when self-study exercises are needed, you can create artifacts from the approved questions, specifying that they display the answers and explanations. Both types of deliverables should use the same set of verified facts.
5. Review and revise each item individually.Open the downloaded file and check the text, page count, layout, and references; test the “correct,” “incorrect,” and “unanswered” statuses of the practice questions. Provide feedback on specific issues repeatedly—for example, “In Section 2, move the operational prerequisites before the steps”—and send it to the intended audience only after confirmation.

For this type of work, it is advisable to first validate a small section and then expand to the entire course to avoid structural or terminological errors being repeated across a large number of pages. Examples containing personal or client data should be anonymized beforehand, and training materials should not include any commitments not present in the source material.

How to Choose Between Claude and Similar Assistants

For the task of “converting existing materials into documents and interactive presentations,” you can compare specific workflows with ChatGPT and Gemini.

Ultimately, one should compare the editability, factual consistency, revision costs, and access permissions of actual results, rather than judging solely based on the fluency of a single response. For details on the models, tools, and quotas for different solutions, seeOfficial Solution Description; Before creating files or artifacts, you should also verify that the relevant capabilities are available in your account.