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Project Cover
What it does
I often think about For the average person, is having Claude, Cursor, or ChatGPT really enough?For ordinary users, many tasks are quite simple — such as translating text. In that case, you still have to type an extra prompt like “Translate into…” every time. But for more complex tasks, such as conducting in-depth financial analysis, presenting
multi-dimensional results, or gathering insights from different Agents, a single model quickly shows its limitations.The market is now full of Agents developing in various vertical domains. If you have ever built an Agent yourself, you’ll realize that most of your time is spent on multi-agent coordination, fallback solutions, error handling, tool calling, and other complex engineering work.
If you have no development experience and are a complete beginner, even if you clearly understand the pain points in your own field and know Agents can solve them, the development cycle for creating a usable Agent is still very long.
In the best-case scenario, suppose you have successfully developed an Agent. You then need to upload it to GitHub or promote it through other channels. In the end, very few people may ever discover your Agent product. Even if some people find it, you will still face intense competition (for example, with all the existing coding Agents).
Perhaps this is the real meaning behind my development of jumping agent platform.
It allows both beginners and experienced engineers to quickly build their own Agents — Agents that can truly help get things done.
Jumping-Agent-Platform shortens both the development cycle and the discovery cycle, empowering more people to easily and quickly create their own “OpenClaw” — truly bringing the power of Agents to everyone.
How we built it
Throughout the project lifecycle, I independently handled the architectural design, frontend development, backend construction, and the implementation of agent logic. This full-stack effort aims to create an automated construction platform that allows users to bypass tedious engineering tasks, such as multi-agent orchestration, fallback mechanisms, error handling, and tool execution
Challenges we ran into
From a technical standpoint, being independently responsible for the entire development from architecture to frontend, backend, and Agents certainly presents significant technical challenges, but these can be overcome through learning. The challenge that I truly find the greatest comes from the pressures of reality: the pressure of school and the pressure of finding employment.
To be honest, my academic performance during college was not good. I was not the "good student" in the eyes of my teachers; on the contrary, I often skipped classes to practice basketball because that was my dream in high school—I wanted to stand on the competition stage one day. As a result, I might not be able to get my graduation certificate near graduation.
It wasn't until the explosion of LLMs in 2025 that my interest in artificial intelligence was sparked. I saw the magical power brought by LLMs. I still did not attend classes, but started self-studying LLM and Agent-related knowledge like crazy, and frantically coding projects to bring the ideas in my mind to life. Although some of these projects ultimately sank without a trace, I enjoyed it tirelessly.
Until now, you might know what the biggest challenge I face is: the pressure of a degree and the pressure of employment. As a student graduating from an ordinary university, wanting to challenge those with high academic credentials through my own passion—this is the spirit I learned from basketball, and it has always inspired me. Many people say this path won't work, and even my parents want me to find a job as soon as possible, but I am clear that I might have to experience these moments of despair before I can radiate my own light.
Accomplishments that we're proud of
I may not have achievements in technology that I am particularly proud of, for there is always someone better, and there are many people who are much more technically skilled than I am. However, I feel that beyond technology, the achievement I am most proud of is this: I have bravely tried, and I have persisted. Even if I haven't succeeded, at least I want to share the ideas in my mind with everyone. If I can manage to keep persisting until the day I die, that would truly be something to be incredibly proud of.
What we learned
Beyond mastering the technical architecture and development knowledge related to Agents, the most important thing I have learned is "persistence." I have brought the same spirit of striving for my basketball dream in high school into AI development. This spirit has made me realize that even if many people say this path won't work, and even when I am in moments of despair, I must experience it all in order to radiate my own light at some point in the future.
What's next for Jumping-Agent-platform
I want to use this ultra-short development cycle to stimulate the creativity of a wide range of users, allowing everyone to solve the pain points in their own industries through Agents, accumulate a user base, and then build an Agent marketplace where people can sell their own Agents to form a commercial closed loop. Finally, this platform will be free to use forever.
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Finally, this entire article has not been polished by AI, because I want to express my true inner thoughts, even if it looks like the writing is not very good.
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