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Problem Statement 2: Autonomous Machine Learning Research Agent for Recommender Systems. Autonomous Research -> Code -> Evaluate loop to beat recommender baseline. Without humans in the loop.
An autonomous ML research agent for recommender systems: forms its own hypotheses, writes the code, reads the metrics, and decides what to try next.
Turn AI agents into browser-native operators with WebMCP — structured, controllable, and built for real-world tasks.
An ADK agent that turns food-recall notices into traceable inventory holds, partner tasks, acknowledgements, and a verifiable closure evidence pack.
This is a tool built for a studio's marketing & distribution crew, solving their bottleneck of manually researching marketing opportunities across every release market. Built for the Parallel track.
In 2098, the internet is gone. One website survived. Explore an abandoned 3D digital sanctuary and recover three memories of humanity.
Village turns shift changes and childcare gaps into one visible, confirmed family plan—with WebMCP agents coordinating and families keeping control.
Data visualization is designed for humans, making it hard for AI agents to understand what actions are supported in a page. I built Median Viz using LinkedIn demographics to explore a different model
CogSmith helps gearheads turn old bikes into modern single-speeds. Making cool bikes for everyone!
An agentic venture twin that challenges assumptions, stress-tests business ideas, and tells founders what must be true before they commit capital.
11.87× geometric-mean speedup across the 12 of 14 shapes with runnable official baselines.
An evidence-native Gemini agent fleet where autonomous Scout and Reviewer agents challenge claims, but only deterministic policy can promote them—with auditable Firestore receipts.
An LLM agent that autonomously proposes, codes, tests, and iterates on recsys models for KuaiRand-Pure — zero manual intervention, +0.0022 delta over baseline, full run-by-run transparency.
Rede de 4 agentes autônomos em producao 24/7. Harness = Regras + Ferramentas + Memoria + Skills + Verificacoes + Feedback Loops. Caso real: pipeline YT Radar com Gemini, deploy Cloud Run.
FlowState: An autonomous ML agentic workflow that diagnoses data, iterates pipeline code, and optimizes recommender systems end-to-end by competing against itself, to make machine learning easier.
Version control for the decisions you make with AI.
**EmergencySim — Explore. Respond. Learn.**
“An AI-powered workflow assistant that helps virtual assistants organize tasks, streamline client operations, and turn repetitive work into efficient, repeatable workflows.”
A shared, visible observing route for people and their AI agents.
You and an AI agent operate the same board, not a chat window beside it. Graph curves, wire circuits, bond atoms, drop a ball, and it explains how each change, yours or its own, shaped the result.
Kanverse Human API turns phone-only services into goal-driven workflows, using CALL-E to call targets, evaluate outcomes, and continue automatically until the goal is achieved.
Package-G lets ChatGPT inspect, run, and explain deterministic evidence audits through WebMCP—without letting the agent decide the verdict.
Orbis is a cinematic dive through deep time, where cracked lava rock, moss, and butterflies in glass reveal how every layer of Earth holds a timestamp of life.
A WebMCP-powered copilot that helps live sellers manage customer claims, inventory, orders and restocks while they stay focused on the broadcast.