Engineering

Engineering notes on how we build Seerly — infrastructure, product engineering, and AI search visibility measurement.

Raven: Building a Trustworthy Inference Engine for Production LLM Systems
EngineeringLLM Inference

Raven: Building a Trustworthy Inference Engine for Production LLM Systems

How we built Raven, an accuracy-first inference engine that uses verification-driven quality loops to produce reliable structured outputs from messy LLM responses.

Udit Khandelwal
5 min read
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How LLMs decide who to cite: The mechanics behind AI Search visibility
AI SearchLLM Citations

How LLMs decide who to cite: The mechanics behind AI Search visibility

Citations are now a primary discovery surface, but they remain unreliable enough that visibility without correctness becomes a brand risk. Seerly operationalizes this by tracking citation frequency alongside attribution correctness, so teams can measure where they show up and whether they are represented accurately.

Rakesh Menon
5 min read
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