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Capture scored examples, nuanced rationale, transcripts, and build guidance across any software surface. Applying an example writes it into the corpus as a training example and creates a response eval regression case.
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Builds an instruction dataset from the published taste corpus, then trains Llama 3.1 8B with QLoRA on a g4dn.xlarge. Cheap, fast validation before scaling up.
Run the same build prompt through a raw provider, then through the same provider with tastellm guidance injected first. Use this to demo how vibe-coded or production-product outputs change when the taste API is in the loop.