Research & Engineering

Research & engineering notes on how we build Seerly: infrastructure, product engineering, and AI search visibility measurement.

Filtered by: Rakesh Menon, Udit KhandelwalClear filter
Beyond Dashboards: A Five-Layer Architecture for Proactive AI Search Visibility
AI VisibilityAI Search

Beyond Dashboards: A Five-Layer Architecture for Proactive AI Search Visibility

Reactive dashboards log what AI models said. Proactive systems detect why they will change. This paper outlines a five-layer engineering architecture for AI visibility: signal ingestion, influence modeling, narrative drift detection, confidence-weighted recommendations, and governed execution.

Rakesh Menon, Udit Khandelwal
21 min read
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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
6 min read
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