We Don’t Need Bigger AI. We Need Smarter AI Infrastructure.✎ Edit

We Don’t Need Bigger AI. We Need Smarter AI Infrastructure.

Today, we already have our first major foundation: a matured Detached System running on a LAMP-based architecture. Our principle is simple - not every task needs an LLM. Validation, 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 Detached Systems. The total development cost has been less than USD200, including experimentation, failed approaches, repeated testing and many mistakes along the way. For us, this is evidence that useful business systems do not always require massive funding.

The second layer now in progress is our modded AI agent with Smart Routing capability. Instead of automatically sending every task to the largest model available, the system 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 → Detached System. The objective 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 Detached Systems. 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 tools and infrastructure.

But these three developments are ultimately aimed at something much bigger. We want to make system development itself accessible to ordinary SME 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 system 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 system behind it.

Our direction is clear: Detached System → Smart Routing → Lowest Suitable LLM → Specialised Own LLM → AI-Assisted System Development for Everyone. Minimum cost is the immediate objective. Free is the dream. We are not trying to build the biggest AI; we are trying to make AI and system development small enough, affordable enough and simple enough that even the smallest SME can build with it.

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