What we've learned building AI products that ship — agents, retrieval and grounding, evaluation, fine-tuning, and document intelligence.
Generic OCR mangles the documents that matter most. Here's how we build pipelines that extract structured, auditable data from the messy real thing.
Read →Prompting and retrieval get you far, until they don't. Here's the decision we walk through before recommending a fine-tune, and when we say don't.
Read →Not every problem needs a swarm. A single agent is easier to observe and cheaper to run, so we reach for it first. Here's when a coordinated team earns its keep.
Read →An agent that works once in a notebook is a demo. Making it reliable, observable, and safe under real load is a different job. Here's how we approach it.
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