LongCat 2.5: show the screen, then check the result

Show the problem you want to solve

Choose a screen from a practice app and write one thing you want someone to find easier. A screenshot can help explain the starting point. Ask the AI to describe what it sees before asking it to make a change.

Meituan lists the full LongCat 2.5 model as available on its developer platform from November 2. This follows the LongCat 2.5 Preview released in September. Its new announcement focuses on understanding visual information and carrying out coding work across several steps.

For someone learning to build, the useful question is whether the model understands your screen and the job behind it. A detailed answer is only a starting point for checking that understanding.

Read the announcement: LongCat: November 2 full-release API changelog.

Pictures can add context to a request

The current LongCat documentation says the model accepts images and videos alongside written instructions. Examples include reading text in a screenshot and interpreting a chart. Meituan also describes using it to help with visual coding and complete software projects.

A model that understands a picture does not automatically have permission or the tools to operate your app. Reading a screen, suggesting a change and applying that change are separate steps. Keep each step visible when you try it.

The company offers an online experience and a developer service that other software can connect to. TechNode reports that releases on GitHub and Hugging Face are planned. Do not assume a downloadable version is already ready for your own computer.

Compare a small result you can test

Use a screen containing made-up information for a first exercise. You might ask how to make a request form clearer, then check whether the suggested labels and confirmation message answer the questions a person would have.

If you compare it with another AI tool, keep the same screenshot and instructions. Meituan has published demonstrations and its own test results, but those do not establish how the model will perform on your project. We have not tested it ourselves.

1. Choose one screen and describe the result you want.
2. Ask the AI to explain the screen and flag anything it cannot read.
3. Review its plan before allowing changes to a practice project.
4. Try the changed screen yourself, including missing information or a failed action.
5. Save what worked and one question you still need answered.

Check the running plan too

Before connecting a business account or sending a real screenshot, check the service terms, where the information is processed and whether your organisation allows that use. Confirm the current price, account access and spending controls rather than assuming that a new model is free or available on every account.

Our perspective is that working from a screen can make an app idea easier to explain. The lasting skill is turning that picture into a clear request and checking the result. Bring the screenshot, your goal and your practice notes to a guided build or training session.