The popular ZenTao OpenAI plug-in has been successfully released recently and has been updated to version 1.2 so far.
As of the release of this version, ZenTao OpenAI already has the magical conch (ChatGPT chat), demand polishing, task polishing, bug polishing and this time the demand one-click generation use case function, and there are still more practical new functions in preparation for development. Let us continue to expect tools to liberate productivity.
1. Magic conch
"Brother Octopus, why don't you ask the magic conch?" - SpongeBob SquarePants
So, let us ask the magic conch! ZenTao launched the magic conch function, opened up the ChatGPT API, and solved the problem that individual users in China are difficult to use ChatGPT. You can chat with ChatGPT through ZenTao's magic conch!
The magic conch function is added in the lower right corner of Zen Road, which is a ChatGPT chat box, where you can chat with ChatGPT.
Specifically, how to better use the magic conch, you can refer to the following principles:
- It is best to ask questions that focus on a specific question. Questions that are too open may only be used to "mouse" it, and no meaningful answer can be obtained;
- When asking questions, you can describe the background and contextual information of the question in as much detail as possible, or continue to add clear information based on its answers;
- Magic Conch has a context function, supports multiple iterations, readjusts the problem description or gives clearer information, and iterates on the original basis.
All in all, the magic conch is suitable for writing poems, articles, novels, codes, and summarization, but not for open questions and seeking emotional advice.
2. Demand polish
As a product manager, I sometimes can't write good requirements... Don't be afraid, requirement polishing will help you!
Under the product-requirement function, Magic Conch can help product managers polish, improve and optimize requirements. it can:
- Transform a one-sentence requirement into an accurate, clear, specific, and fully described requirement;
- Supplement the requirement title, requirement description and acceptance criteria into clear content;
- Unsuitable requirements after conversion can be re-converted until satisfied;
- The original requirement description can be adjusted again according to the converted content, and re-converted;
- After saving the conversion result, enter the requirement editing or requirement changing process.
3. Task polishing
Under the execution-task function, GPT can help team members polish, perfect and optimize tasks.
it can:
- Convert task titles and task descriptions to be clearer and more specific;
- Convert the original sentence to be more grammatical;
- Unsuitable requirements after conversion can be re-converted until satisfied;
- The original task description can be adjusted again according to the converted content, and converted again.
4. Bug polishing
Under the test-bug function and under the execution-task function, GPT can help testers to optimize bugs reasonably.
it can:
- Convert the bug title description to be more clear, specific, and grammatically compliant;
- Decompose the Bug's reproduction steps and expectations into three clearer structures: steps, structure, and expectations;
- Bugs that are not suitable after conversion can be re-converted until satisfied;
- You can re-adjust the original bug description, reproduction steps and expectations according to the converted content, and re-convert.
5. Use cases of AI one-click dismantling
Under the R&D-requirement function, enter the requirement details, click one-click to disassemble the use case, and a series of ChatGPT use case titles can be automatically generated; the
derived unsuitable use cases can be clicked "re-dismantle" until you are satisfied;
select "Use the result Create Use Case" to enter the page for building use cases in batches, where you can edit the title of the generated use cases, and perform routine operations such as selecting the module to which it belongs and the type of use case.
6. Plug-in installation and configuration
download link:
https://www.zentao.net/extension-viewExt-218.html
premise
To use this plugin, the ZenTao administrator needs to have:
- A valid OpenAI account and API Key;
- A SOCKS5 proxy server that can access OpenAI services (if your ZenTao server cannot directly access OpenAI services).
installation method
- Install in ZenTao plugin management;
- After downloading the plug-in package, unzip and overwrite the corresponding extension directory to the extension directory of ZenTao.
configuration steps
- In the background – system settings, navigate to OpenAI settings;
- Fill in the API Key obtained from OpenAI, and fill in the proxy settings according to the situation;
- In the background - user - permission, grant the OpenAI function permission to the corresponding user group.
Welcome to download and use the ZenTao OpenAI plug-in for free. More new features are in full swing, let us continue to look forward to tools to liberate productivity!