Agent skills for Arize — datasets, experiments, and traces via the ax CLI
Root cause analysis for AI agents. Detects agent loops, retry storms, and optimization opportunities in LangSmith, Langfuse, Arize Phoenix, and OpenTelemetry traces.
Persona-based Agentic Testing Testing Platform
Next.js demo: Scalekit AgentKit tool executions and OpenAI LLM calls in one Arize AX trace — public-API wrapper, not a prototype patch.
Plataforma civica anti-corrupcion para el Peru: 11 agentes de IA (Google ADK + Gemini 2.5 / Vertex AI) auditan contratos del Estado por ~1 sol. OCR con Document AI, RAG legal con Vertex AI Search, observabilidad con Arize.
The audit layer for AI evaluation: a six-hat panel scores a submission against a rubric with evidence-grounded scores, then audits and self-corrects its own over-confident scores against a calibration prior — every step a traceable span in Arize AX. Gemini 3.1 Flash-Lite · Google ADK 2.0 · Arize AX. Trace it. Trust it.
NeuroScale 2.0 — Autonomous A2A Agent Layer for self-healing ML platforms. Built on KServe, ArgoCD, Kyverno. Google Cloud Rapid Agent Hackathon submission.
An intelligent virtual receptionist for Camping La Rosaleda, built with Google ADK (Agent Development Kit) and Vertex AI RAG Engine.
AI security case-file pipeline for Phoenix traces, Gemini analysis, and Cloud Run demos.
Phoenix-compatible exporter: ragdrift's five drift scalars as OpenTelemetry span attributes for Arize alerting.
Gemini-powered Green Coding Coach — reads real Arize Phoenix traces via MCP to detect AI token waste.
AWS AI BUILDER HACKATHON LAB: CRAFT WITH AI AND BUILD WITH AI - (Virtual Pet Store)
AI-powered student developer assistant with white-box reasoning, built with Gemini 2.5 Flash and Arize observability
Rootin4 — Gemini agent that predicts who plays at the seat you bought for World Cup 2026. Built on Google ADK + Arize Phoenix MCP for the Google Cloud Rapid Agent Hackathon.
Purpose-built AWS Strands + Bedrock agent over a real Bedrock Knowledge Base, instrumented and evaluated in Arize Phoenix: a custom OpenInference RETRIEVER span, three validated evals with span annotations + a dataset, and an automated feedback loop. The AWS + Arize 'better together' story, in code.
Observable human-supervised incident agent with Gemini, Google Cloud Agent Builder, and Arize Phoenix MCP
Autonomous Multi-Agent RAG System & Evaluation Suite for IMDA Digital Economy Analysis using Flowise, Google Gemini, and GCP Cloud Run
A Gemini agent that reads its own observability data via Phoenix MCP to avoid repeating past failures. Built for the Arize hackathon track.
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