🤝 Top Collaborators
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🤓 Latest Submissions
Adjudicate — AI Insurance Claim Triage
Adjudicate is an AI agent for insurance First Notice of Loss calls. Today, an adjuster gets one call and no time to verify anything in it — claims that would fall apart under ten minutes of scrutiny go through unchecked, because nobody has ten minutes to give. Adjudicate listens to the call live, extracts the claim's key facts as the caller speaks, and checks those facts against real public data while the call is still happening — historical weather records, business registries, and other public sources, depending on what the claim actually needs checked. A hail claim triggers a weather lookup; a different claim triggers something else entirely. That dynamic decision-making is the core of the product, not a fixed script. The result is a dossier: a risk score, a routing recommendation, and a contradiction table showing exactly what was claimed versus what the evidence shows — with a source link on every finding. Where evidence is genuinely unavailable, Adjudicate says so instead of guessing, which we treat as a feature, not a gap. In a real test run, Adjudicate checked a flight-delay claim's stated cause against historical weather data, found no precipitation was recorded that day, and returned a contradicted verdict with a 35/100 risk score in 127.4 seconds — against a roughly 30-minute manual baseline. The application (Queue, Live Intake, and Dossier screens) is built and deployed on native.builder, connected directly to Supabase as its data layer. A lightweight backend service handles the parts native.builder's own documentation notes aren't yet supported standalone: live audio streaming and multi-API orchestration across Speechmatics for real-time transcription and diarization, AI/ML API for structured field extraction, and public data sources for verification. Adjudicate is built for insurance adjusters and SIU teams — not to replace their judgment, but to give them the scrutiny they've never had time for.
10 Aug 2026
Nexus Pathfinder
Nexus-Pathfinder is an autonomous, agentic career-advancement ecosystem designed to bridge the gap between professional potential and market demand. Built as a core pillar of the AuraPath AI framework, the project utilizes a sophisticated multi-agent architecture to deliver precision-driven career roadmaps. The system employs two specialized agents: Nexus, which executes deep technical audits on user resumes to identify specific skill gaps, and Pathfinder, an intelligent market scout that aligns user profiles with real-time industry trends and hiring potential. By leveraging a Retrieval-Augmented Generation (RAG) pipeline and Groq-powered high-speed reasoning, the system minimizes hallucinations while maintaining optimal performance. The core innovation lies in our hybrid token-efficient routing mechanism. This approach dynamically optimizes LLM resource allocation based on task complexity, ensuring that the system remains cost-effective and scalable without sacrificing the quality of reasoning. Nexus-Pathfinder transforms static job hunting into a proactive, data-driven journey, providing users with actionable insights that evolve alongside the global job market.
13 Jul 2026
