Nyquist
Professional prompt engineering products built on the sinc-LLM framework. Stop guessing. Start engineering.
Every product is built on peer-reviewed signal processing theory.
DOI: 10.5281/zenodo.19152668
x(t) = Σ x(nT) · sinc((t - nT) / T)
Professional prompt engineering products built on the sinc-LLM framework. Stop guessing. Start engineering.
Every product is built on peer-reviewed signal processing theory.
DOI: 10.5281/zenodo.19152668
Every product is backed by measurable results. If your prompt SNR doesn't improve, I'll rebuild it free. No vague promises — real numbers, real metrics, real improvement. The same framework validated across 275 production observations with a DOI-published paper.
You're building with LLM APIs and your prompts are inconsistent. You need structured, testable prompts that produce the same quality every time.
Your AI feature costs too much and users complain about hallucinations. You need prompts engineered for production, not prototyping.
You use ChatGPT or Claude daily but the output is generic. You need prompts that produce exactly the tone, format, and depth you want.
You manage AI workflows for clients. You need a repeatable framework that delivers measurable quality improvement across any use case.