Enterprise AI runs on infinite budgets.
Popular tools are built by devs tokenmaxxing at their employer's expense, unfazed by the API bill.
We buck that trend, building token-efficient tools for the rest of us.
The AI industry has a fundamental conflict of interest.
Labs like Google, OpenAI, Anthropic, Microsoft, etc derive massive revenue from the margin on token consumption. It is mathematically against their financial interest to reduce the number of tokens their tools burn. That's why their mainstream wrappers dump your entire codebase into a context window just to change a single line of code.
You can't ask the wolf to protect the herd.
We are the antidote to that. We are an Applied AI lab focused entirely on building tools for developers who don't want AI to become a massive new line item in their annual budget.
We don't believe in throwing tokens at problems. We build tools that work towards deterministic outcomes where possible, because predictable software doesn't require endless, expensive re-prompting. Whether a tool we release is free or paid, the mandate is the same: treat AI as a precision instrument, not an endless money pit.