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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.
AI Systems // FIELD NOTE
Notes on citations, structure enforcement, usage budgets, and deterministic systems around LLM workflows.
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.
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.
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.