
What is Kimi?
KimiLaunched by Moonshot AIAI assistant...It provides multiple entry points for tasks related to reading materials, research, data processing, and creating office documents. It can answer questions and further process files, data, and research findings into documents, spreadsheets, PowerPoint presentations, or interactive content, making it ideal for users who need to turn source materials into finished work products.
Dark Side of the Moon was founded in the spring of 2023 and focuses on general artificial intelligence and model research. Kimi was launched in October 2023 and initially featured long-form text input and reading as its main capabilities; this product background is also mentioned inOfficial Announcement Released by Our Partner, Jiguang. As the product has evolved, reading long-form content has gradually been integrated with multi-source research, the creation of office documents, and coding tasks, forming a more comprehensive information processing workflow.
Model research and assistant features are also undergoing separate iterations. The Dark Side of the Moon website lists the research findings on Kimi K3, released in July 2026; for practical tasks, users can accessFeatures PageChoose from in-depth research, documentation, spreadsheets, PowerPoint presentations, and application development. When making your selection, first determine what results you need, then consider the model or pattern; do not treat the model name as a set of operational steps.
Kimi's Main Features
Reading Materials and In-Depth Research
When specific materials are available, you can upload files and ask questions based on their content; when external information is needed, the in-depth research service will define the scope by clarifying the questions, organize a research plan, and then retrieve and analyze multiple sources to produce a report with citations. The research can incorporate background documents, and upon completion, you can continue to ask follow-up questions regarding a specific conclusion or shift the research perspective to supplement the information.
This approach is suitable for industry analysis, literature reviews, and product comparisons. The more specific the scope of the task, the easier it is to determine whether the results are useful—for example, comparing several options in a specific region and during a specific time period, rather than a vague request to “research the entire industry.” The number of citations does not equate to sufficient evidence; important conclusions should still be verified by consulting the original sources.
PPT: From Materials and Templates to Presentations
Kimi PPT can accept text, PDFs, Word documents, Excel spreadsheets, Markdown files, images, or existing PPT templates; it first organizes the content and then generates presentation slides. If you already have a team template, you can provide it along with the new content to reduce the effort required to redefine color schemes and page structures. After generation, you can continue to adjust text, graphics, and charts, and you can also indicate where to make changes via comments or chat. The tool supports online presentations as well as export to PowerPoint and PNG.
Different types of input require different checks. When converting long documents to PowerPoint, pay attention to whether any conditions have been omitted; when converting tables to charts, check the units and data ranges; and when converting images to editable pages, verify the text recognition and layout. Before using the file officially, it’s best to open the exported file on the actual presentation device.
Tables: Preserving the Ability to Calculate and Maintain Results
Kimi Tables can generate Excel files containing formulas, pivot tables, and charts, and also supports cleaning, organizing, and analyzing existing data. For budgets, project tracking, and operational reports, it is important to first define the meaning of each column, the reporting period, the currency, and the calculation relationships before requesting that a workbook be created.
Some tasks require only a static summary table, while others require automatic updates after modifying the source data. Both scenarios should be clearly specified in the requirements. After downloading the file, you can modify a single test record to see if the summary and charts update in real time, and check the formula references and how null values are handled to ensure you don’t end up with a static result that merely looks like a report.
Document and Application Builds
The document module covers the creation, conversion, and review of Word and PDF files, making it ideal for organizing materials into reports, manuals, or other standalone documents. The app-building module allows you to create web pages and app prototypes based on requirements, images, or videos. The delivery standards for these two types of tasks differ: while documents emphasize facts, structure, and formatting, prototypes also require testing of functionality, data flow, and performance across different screen sizes.
In what situations is Kimi suitable?
- Research and Consulting Preparation:First, define the problem based on the available materials; then, search for sources; and finally, organize the conclusions into a report and a presentation.
- Operations and Project Debrief:Compile metrics, charts, and findings from the detailed reports, maintain a workbook that can be updated as needed, and prepare meeting materials.
- Teaching and Knowledge Organization:Read the course materials, distill the key concepts, and then organize your PowerPoint presentation or document based on the audience and the duration of the presentation.
- Product Idea Validation:Turn requirements and reference screenshots into prototypes, and use actual clicks and input to discuss functionality, rather than relying solely on text descriptions.
How to Conduct a Project Retrospective Using Kimi
Taking “creating post-project review reports, workbooks, and presentations using project data and cost breakdowns” as an example, you can first verify the facts and calculations, and then expand on them to produce different deliverables.
- Organize the source materials.Provide project objectives, process records, verified results, and a cost table, clearly indicating the version. Specify which data represents actual occurrences and which is merely planned, to avoid mixing the two in the statistics.
- First, find the missing item.List the timeline, key milestones, and any discrepancies between the data and documents to be verified. For evaluations such as “effective” or “slow progress,” first identify verifiable evidence; do not allow such assessments to be directly included as facts in the conclusions.
- Create verifiable forms.Open the spreadsheet task, specify the calculation methods for the budget, actual expenses, and the difference, and ensure that both the source data sheet and the summary sheet are retained. After downloading, randomly check the categories, units, and formulas, then modify one test data entry to verify the linked calculations.
- Complete the report structure.Based on the verified data, summarize the objectives, implementation status, results, issues, and recommendations for improvement. When external industry context is required, conduct separate research to supplement the analysis, and clearly distinguish between internal results and external references.
- Convert to a presentation.Provide approved report templates and team PowerPoint templates, specifying the target audience and presentation duration. Each slide should focus on explaining a single conclusion, and charts should use the same metrics as the report.
- Check the consistency of different files.Verify the total amounts, dates, and definitions of metrics in reports, spreadsheets, and PowerPoint presentations; then check the fonts, images, page breaks, and edibility of the exported files. If discrepancies are found, first correct the source of the data, then synchronize the other files.
There’s no need to produce all the final documents at once. It’s usually easier to ensure quality by first finalizing the data tables and report outlines than by revising multiple documents simultaneously at the end.
How to Choose Between Kimi and Similar Assistants
在“将资料加工为报告、表格和演示稿”的任务上,Kimi、Claude和ChatGPT都有可比性,主要差别在操作入口和后续编辑方式。
| offerings | File Handling Methods | Requirements to Be Considered First |
|---|---|---|
| Kimi | Provides dedicated access to research, documents, spreadsheets, and PowerPoint presentations; PowerPoint presentations can be based on existing templates, and spreadsheets can retain their native formulas and multi-worksheet structure. | The delivery type is clearly defined; we would like to select an entry point based on the deliverables and create multiple office documents from the same set of materials. |
| Claude | Create office documents through code execution within the dialogue, integrated with the Projects organizational context; Artifacts support continued editing of documents and interactive works. | We need to have repeated discussions regarding the long-term project materials, and in addition to the deliverables, we’d like to create an interactive presentation. |
| ChatGPT | Perform data analysis on uploaded files, review the code and charts, and then revise the content in a conversation or on the Canvas. | The task focuses on exploring the data round by round, interpreting statistical metrics, and further processing the results in conjunction with text or images. |
When making your selection, you can use the same set of de-identified data to test whether “changes to the input are updated,” “the exported data can be edited,” and “conclusions can be traced back.” Complex research, lengthy conversations, and document creation will consume your account quota; specific entitlements are subject to the current plan and task entry page. Do not interpret the free trial as unlimited access to all features.
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