Making plans, checking information, writing weekly reports, and even building a gadget are often dragged down by "information scattering, jumping back and forth, and repetitive labor". Z.ai is based on the GLM-4.5 model, which integrates the integrated process of search, understanding, writing, drawing/presentation, code generation, and intelligent agent, which can be used directly on the web page, supports long context, image and file analysis, and is suitable for high-frequency knowledge and development scenarios for Chinese users.
1. Z.ai Who is suitable for use
1) Workplace content producer (operation/product/function)
- scenario: weekly report, competitive product analysis, activity plan.
- Pain points: Information collection is scattered, notes are not systematic.
- Solution: Z.ai Search and generate a structured "key points + evidence sources + action suggestions" at one time, which can continue to be detailed into tables or PPTs.
- 2) Pain points of school students/postgraduate entrance examination preparation
- : difficult reading of long texts and time-consuming notes.
- Solution: Upload a PDF/web page link, Z.ai output a four-paragraph summary and test site list of "Research Questions-Methods-Conclusions-Citations".
- 3) Pain points for programmers and automation enthusiasts
- : time-consuming from requirements to code samples.
- Solution: Z.ai Generate/rewrite front-end and back-end code, unit tests, and scripts with the "GLM Coding Plan", and give debugging ideas.
2. What problems can Z.ai solve
1) Inefficient retrieval and reading: switching back and forth across sites. Z.ai Built-in AI search and long-form text understanding, automatic deduplication and induction, and form reusable knowledge cards.
2) The output format is not uniform: the switching cost of documents, posters, and presentations is high. Z.ai It has "PPT/poster generation" and tabular export, and one-click forming of themes and structures.
3) From conception to execution chain length: scripts, interfaces and automation are required. Z.ai's Agent can disassemble tasks and call tools (such as browsing, writing code, reading files) directly to the runnable results.
3. Detailed explanation of how to use Z.ai (introductory tutorial)
1) Basic preparation
- Acquisition method: access the z.ai in the browser, or directly enter the Z.ai Chat page; Account registration is required.
- Plan/Cost: Free access is provided; Coding enhancements Optional GLM Coding Plan (paid monthly, with higher calls and flagship models).
- Login: You can use it after registering your email/mobile phone number.
2) Quick start
- first use: Describe the task in the input box, such as "Make a three-paragraph summary and list the places according to this link".
- Documents and Images: Upload PDF/Word/Images, select "Summarize/Refine Key Points/Generate Table".
- Coding: Create a new "Coding" dialog describing the target stack (e.g., "Write an interface with Python+Flask with Dockerfile").
3) Practical skills
- search prompts add "list places and times, output according to three levels of logic".
- Write prompts with "Audience/tone/word count/format (e.g., Markdown table)".
- Code class prompts require "running samples, dependency lists, test samples, and complexity analysis".
4. Z.ai Practical application case
- case 1: Competitive product weekly report
- Background: Operation needs to be reviewed weekly.
- operation: Paste 3 links→ command "Make a table by highlights/deficiencies/data evidence, and give next week's action" → export Markdown to the document.
- effect: compressed from 2 hours to 20 minutes.
- Case 2: Speed reading of papers to demonstration
- Background: Graduate students hold group meetings.
- operation: Upload PDF→ "Summarize and generate a 10-page PPT outline according to RQ/Method/Result/Limitation"→ One-click manuscript and then manually edit.
- effect: Integrate reading and manuscript writing, saving 60% of time.
- Case 3: Gadget prototype
- Background: Product students need to verify the data cleaning process.
- Operation: Let Z.ai generate a Python script (including dependencies and sample data), download and run→ and continue to let it supplement logs and exception handling→.
- effect: You can make a usable script prototype without a programming foundation.
5. Z.ai Frequently Asked Questions (FAQs).
- Q: How is Z.ai different from other chat tools?
- A: Z.ai uses GLM-4.5 as the core, emphasizing inference, coding, and agent workflows, suitable for the entire chain of tasks from retrieval to output.
- Q: Does Z.ai support long-form and multimodal?
- A: It supports long contexts and can parse images, links, and multiple document formats.
- Q: Is it mandatory to pay?
- A: Lightweight use can be free; High concurrency and flagship models are available on paid plans such as the GLM Coding Plan.
- Q: Can it be integrated with existing development tools?
- A: It can be accessed through API/open platform and third-party platforms (such as some code tools and routing platforms) to facilitate enterprises and individuals to expand.
