engineering notes
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AI Systems // FIELD NOTE

Building grounded AI features beyond the demo

Notes on citations, structure enforcement, usage budgets, and deterministic systems around LLM workflows.

ENGINEERING NOTE 5 min read
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SECTION // THE PROBLEM

A useful LLM feature needs more than a prompt. It needs a bounded task, trustworthy context, and a response shape that downstream software can understand.

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SECTION // THE SYSTEM BOUNDARY

For AllotIQ, research retrieval, citation validation, report structure, caching, and usage budgets sit around the model. The LLM contributes analysis while deterministic services enforce the contract.

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SECTION // THE ENGINEERING LESSON

Grounding is a product property as much as a model property. Make evidence visible, reject malformed output, and measure the path from request to answer.