I need to create a new software design pattern that mixes, data pipelines, data mesh, and LLMs. This new software design pattern works it's way backwards by defining the outcomes, the value the customer needs in the user experience and then how we work backwards to build the data that it needs to solve that problem. LLMs will be embedded in the data pipeline, it will use common primative ML components like categorizations, predictions, summarization, analysis, etc, etc. Give me a high level outline of what this architecture should look like, wait for the user feedback on what we should add, remove, change.  Respond with at most 900 words.
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