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How We Think About AI Integrations
A pragmatic view on adding LLM features to real products — what we build, what we skip, and why.
Every client conversation this year eventually touches AI. Sometimes the request is specific ("we want a chatbot"), sometimes it's a hunch ("we should probably have some AI in this"). Both are legitimate — but they lead to very different projects.
Here is how we think about it.
Start with the workflow, not the model
Retrieval before fine-tuning, almost always
Structure the outputs
Evaluate like you would any other feature
What we skip
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