Taste Systems is a context-engineering consultancy for venture-backed companies, founded by Jacob Dietle and based in New York. It does data and context engineering for go-to-market teams — building the automations and AI workflows that let companies apply AI to their growth motions, with a specific focus on engineering the context those models operate on.
The consultancy grew out of GTM Engineering work: as Dietle built AI workflows for clients, he found the bottleneck on AI's usefulness was rarely the model and almost always its context. Taste Systems treats context engineering as the discipline of encoding a company's perspective and judgment clearly enough that AI produces work reflecting that taste rather than generic output. Dietle publishes frameworks on this approach through his "Speed to Insight" Substack, positioning context engineering as the layer that separates high-quality AI output from "slop."
Jacob came on for a deep dive on context engineering for GTM — the argument that the real skill isn't prompting, it's the ruthless pursuit of clarity about why. If you've felt AI output go generic on you, his framing on encoding taste is the missing piece.