我们不需要更大的 AI。我们需要更智能的 AI 基础设施。
今天, we already have our first major foundation: a matured 独立系统 running on a LAMP-based architecture. Our principle is simple — not every task needs an LLM. 验证, business rules, reconciliation, workflow control, repetitive logic and many operational decisions can be handled outside the model.
In the last six months, while the overall platform is still only partially completed, we have already built approximately 250 分离式系统. The total development cost has been less than USD200, including experimentation, 失败 approaches, repeated testing and many mistakes along the way. For us, this is evidence that useful business 系统 do not always require massive funding.
The second layer now in progress is our modded AI agent with 智能路由 capability. Instead of automatically sending every task to the largest model available, the 系统 is being designed to continuously identify the smallest and lowest-cost LLM capable of completing each task reliably.
The logic is straightforward: simple task → small model, difficult task → stronger model, no intelligence required → 独立系统. The 目标 is not merely to reduce token usage, but to make AI infrastructure economically sustainable by using intelligence only where intelligence is genuinely required.
The third layer is our own specialised LLM models, designed specifically to work together with our 分离式系统. We are currently experimenting with 7 open-source LLM models as the foundation for this work. Hugging Face will be part of our technology ecosystem, supporting access to the open-source model ecosystem, datasets, training 工具 and infrastructure.
But these three developments are ultimately aimed at something much bigger. We want to make 系统 development itself accessible to ordinary 中小企业 owners, especially businesses that do not have unlimited funding, GPU capacity, IT teams or technical resources.
One day, even a makcik selling pisang goreng by the roadside should be able to become the 系统 developer for her own business. She should simply be able to say, “Manage my stock, calculate my daily profit, monitor ingredient costs, remember my regular customers and tell me when I need to buy more bananas,” and the agent should help assemble the 系统 behind it.
Our direction is clear: 独立系统 → 智能路由 → 最低点 Suitable LLM → Specialised Own LLM → AI 辅助 系统 Development for Everyone. Minimum cost is the immediate 目标. 免费 is the dream. We are not trying to build the biggest AI; we are trying to make AI and 系统 development small enough, affordable enough and simple enough that even the smallest 中小企业 can build with it.
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