The tools are fragmented, the links are disconnected, and deployment thresholds prevent creative ideas from going online. Qingshu aims to build a unified workstation that enables individuals to complete the entire end-to-end chain from idea to monetization.
Opening | Why We Are Doing This
Vision: Prioritize The Era Before Thinking About Demands
I am different from most entrepreneurs. I do not start by thinking about user demands and pain points, but first consider a more fundamental question: what form should users and enterprises take in the upcoming fully arrived AI era?
Define the future form first, then infer what is missing today. This is exactly what I am doing: a truly future-oriented product. It is not because people are complaining that current tools are not easy to use, but because people in the future have to work in a completely different way.
Cognition: Those Who Stay Ahead In The AI Era Must Be "Super Individuals" And "Super Organizations"
In my opinion, people and enterprises that thrive in the AI era will definitely fall into two forms:
▪ Individual → Super Individual. One person no longer only completes part of the workflow, but can independently run the full link of "idea → creation → delivery → monetization".
▪ Enterprise → Super Organization. A company no longer improves productivity by adding more staff, but relies on an agent network, so that humans only need to make judgments and decisions.
Problem: The Era Has Arrived, But Working Methods Still Remain In The Previous Generation
In fact, the AI era has already come to us. However, most people's working methods are still stuck in the last era: tools are fragmented, links are disconnected, and humans are still the only bottleneck. In other words, an individual cannot run through the full workflow, and enterprises are still piling up manpower.
Then the question becomes: how to become a "Super Individual / Super Organization"? In other words, what is required to become a Super Individual and a Super Organization?
Solution: A Super Intelligent And Convenient Workbench Is Needed
It enables individuals to mobilize the capabilities of a full team, and allows enterprises to use agents to replace repetitive manpower stacking.
This is Qingshu, an intelligent work platform that supports casual work anytime, anywhere.
"Qingshu, Make Creation At Your Fingertips" is the exact answer.
Main Text
01 Era Background Set The Standards For The New Era
The requirements of the AI era for people are undergoing a fundamental change: the measurement of an individual's ability is no longer how many tools he can use, but how many agents he can command, and whether he can hand over a whole task to be completed from beginning to end. Traditional tools mean "you do it manually", while agents mean "you command it to do the work". The watershed of capability has shifted from "proficiency" to "scheduling".
Two Core footholds
At the same time, the evaluation criteria for output have also changed: in the past, AI only produced "materials" that still required manual assembly. In the AI era, output must be "ready-to-launch, shareable, monetizable results". The standard has shifted from "whether the generation looks good" to "whether it can be delivered and monetized".
02 Customer Pain Points It Is Not That Tools Are Bad, But That Working Methods Have Not Changed
Most people describe the pain point as "existing tools are not easy to use". But the real problem is: the era has changed, but the working method has not.
Three Fundamental Questions Of The Era
Three Systematic Disconnections
▪ Fragmented Tools — Different tools are used for image making, document writing, coding and deployment, and context is lost during switching between different platforms.
▪ Broken Workflow — AI can "generate something", but it is difficult to turn that "something" into a product that can be launched, shared, and bring users and revenue.
▪ Excessively High Threshold — Deployment, release and operation are professional skills for engineers, and most creative people get stuck between "idea" and "public launch".
What Qingshu aims to solve is not to speed up a single link, but to regenerate the entire creation process.
03 Qingshu Platform The Working Method For The AI Era
Qingshu is not a "more comprehensive tool", but the working method that the AI era should have: you clearly state what you want, and it completes the rest — topic selection, creation, generation, deployment, release, monetization, no need to switch tools, no need to wait for others to cooperate, no need to learn professional technologies.
Two Complete Closed Loops
Works are "inanimate outputs"; products are "living outputs" that can create new value. Qingshu creates both at the same time — this is also the most essential difference between it and single-point tools: single-point tools solve "how to complete this step", while Qingshu solves "how to make the whole thing a success". In other words, "Qingshu" delivers finished products, while other agent tools deliver "components".
"Qingshu, Make Creation At Your Fingertips" — enables Super Individuals and Super Organizations to turn their vision into an executable working method.
04 Platform Capabilities Capabilities Are The Support For Closed Loops, Not The Selling Point Itself
Talking about capabilities tends to slide into a checklist-style list of "how many functions I have", and the list itself does not constitute a reason for purchase — almost every capability on the market can find a single-point alternative. The current Qingshu 1.0 can be sorted into "twelve capabilities". What is different from other platforms on the market is that the capabilities of Qingshu are not fragmented, and the capabilities of Qingshu support two closed loops:
"Work Creation → Sharing" Closed Loop
▪ Multi-modal Generation — text-to-image, image modification, matting, stylization; text-to-video, image-to-video, key frame generation, video editing and commentary synthesis; text-to-music, paraphrasing and content expansion, lyric generation.
▪ Document-level Output — PPT is generated with native charts according to specifications; Excel ensures that large integer IDs are not distorted, and charts are bound to cells; Word retains all media and outputs shareable web pages at the same time.
▪ AI Office — writing, spreadsheet processing, meeting minutes, data analysis, all delivered with one sentence instruction.
"Product Creation → Launch → Transaction" Closed Loop
▪ AI Programming — from requirements to runnable code, supports parallel sessions and target deviation correction.
▪ Three-strategy Deployment — mirror (Docker), bare metal, LLM-driven, automatically selected according to host capabilities; supporting packaging guardrails, health checks and automatic rollback on failure.
▪ Version And Release — local Git and remote collaboration; one-click release, cover, introduction and site are automatically generated.
Only by closing these two workflows can the problem of "fragmented tools and broken links" be truly solved.
Individuals can truly become "Super Individuals".
Enterprises can liberate people from specific execution work.
Let humans only make judgments and decisions, thus completely getting rid of the shackles of manpower stacking.
What truly makes "Qingshu" stand out from other platforms is the advantage grown from the most underlying technical architecture:
▪ Zero Installation — both PC and mobile terminals are Web-based, ready to use once opened.
▪ Self-evolution — the generated application has a built-in feedback entry, which automatically monitors user feedback and iterates for optimization.
▪ Automation — integrated with Robot, which can automatically run user tasks and output results.
▪ Three-terminal Synchronization And Sharing — cloud, PC and mobile terminals are complementary in positioning, share one core, and the progress is synchronized in real time.
- Cloud: Built for sharing, suitable for team collaboration.
- PC: Built for individuals, users can access PC-side projects anytime and anywhere, it is an absolutely secure personal cloud disk.
- Mobile: Built for convenience, unfinished work on PC can be continued on mobile (only need to ensure that the PC is powered on and online).
05 Progress And Verification It Is Not That Functions Are Completed, But That Users Are Already Using It
To judge whether a new product is viable, do not look at how long the function list is, but whether it has really entered the real usage scenarios. The current status of Qingshu is: three terminals have been launched, real users and projects are running in the production environment, and this working method has been used to produce real products.
What is more convincing is the landing result: Qingshu has used its own capabilities to full-stack produce and launch three platforms, covering content creation and sharing, product release and transaction, and requirement defect management, forming its own closed loop of "content production → product release → feedback iteration". This means that it is not just "able to generate", but "the generated things can really go online".
06 Platform Data Data Proves That The New Working Method Is Being Adopted
The new working method represented by Qingshu has been adopted by real people.
Behind these numbers is one thing: users are not just "trying it out", but really moving their work to the platform — 174 projects are continuously created on the cloud, and 3 billion tokens have been consumed in real usage. This is the direct evidence that the "new working method is being adopted".
07 Customer Cases They Have Become Super Individuals / Super Organizations Because Of Qingshu
When talking about cases, it is easy to slide into the description of "which functions they used". But for Qingshu, what is really worth mentioning is the result: users have obtained capabilities that previously only teams could have.
Case 1: Verify The Working Method By Itself — Full-stack Production Of Three Platforms
Qingshu developers used Qingshu itself to independently complete the design, development, deployment and launch of three platforms, all of which are running in the production environment:
