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The knobs that shape an AI system.

Whether you call a frontier model through an API or serve an open model on your own GPUs, the model is only one setting. The choices around it change what the system gets right, how fast it answers and what it costs. RadianVector tests these choices on your workloads to find the configuration that best meets your quality, response-time and cost requirements.

FRONTIER MODELS 24 knobs you can tune through the provider's API OPEN MODELS 34 knobs you can tune when you host the model 24 34 your workload same tasks, either side AGENTS 18 more knobs you can tunefor agents built on either 18 each dial is one real setting, listed below
01 — Why it matters

Out-of-the-box default settings aren’t tuned for your workload.

Most systems run with a few knobs set deliberately and the rest left at their defaults. Each one can move quality, latency or cost, and they interact. Measuring them on your own workload is how you find out which ones matter for you.

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