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Building a shopper agent that helps to optimise the searches for users
88 million Americans are served by a water system with a violation on record. This page turns that record into six WebMCP tools an AI agent can call - and never returns a zero it doesn't have.
Volc Agent Launchpad is a three-layer middleware that lets safe AI coding work pass, contains dangerous prompts and reported runtime actions, and exports verifiable trace evidence.
Hybrid retrieval meets information theory: a dual-layer, zero-token shopping copilot for real-world shopping that adapts to changing needs by asking the right question to find products faster.
A multi-turn AI shopping copilot that understands evolving user needs and combines hybrid retrieval, intelligent clarification, and evidence-aware ranking to find the right product faster.
Stop wasting hours planning. Travel Master searches the web, matches your taste and budget, and builds custom, executive-ready travel itineraries instantly.
This end-to-end production template builds a Next-Generation Autonomous AI Agent powered by Gemini on Google Cloud Vertex AI.
Problem: Teams waste hours manually triaging bug reports. Solution: An autonomous agent using Gemini 3.5 for instant analysis and patches. Tech: Deployed via Google Cloud Run.
AI-Powered Career Mentorship & Strategic Roadmap Agent
Adds scoped, revocable access control to Agent Launchpad. Every request to an Agent is checked server-side against granted permissions, denied outside scope, and logged with actor, action, decision.
Make an AI agent run understandable: see what the model thought, what commands it ran, and exactly where it failed with secrets scrubbed before they ever hit a log.
An invoice-reconciliation dashboard humans and AI agents use together — agents query receivables, point at rows in your view, and draft chaser letters you review, via 8 WebMCP tools.
Mobility ideas are easy to imagine: and costly to get wrong. MAAV NeoLab lets AI agents build and break synthetic scenarios, giving humans deterministic evidence before expensive real-world pilots.
CivicFix AI turns community problem descriptions into structured, prioritized, location-aware reports, helping people clearly document and track local issues.
Agent Zen Garden is a WebMCP playground where AI agents design websites through real browser tools. An agent chooses a layout, writes the CSS, and publishes a live design humans can review and refine.
A bilingual, privacy-first WebMCP demo that lets people and browser agents discover safe psychoeducational exercises and human-support options without diagnosis or personal data.
Ask less, find more — 3 turns to the right product out of 50,000
AI can fake reality. We built a detector that doesn’t just work in the lab—it stays accurate when AI images are edited, compressed, and shared online.
CartChatter asks the right questions to find the right product — even when you change your mind.
Visualization tool for BotFlo AI Transformation Score (BATS) for S&P 500 companies with support for WebMCP
PantryPilot turns simple meal goals into an optimized grocery order. Plan meals, compare prices, respect allergies, and approve every purchase with a human-in-the-loop WebMCP agent.
Track, audit, and optimize the carbon footprint and energy efficiency of Large Language Models on Google Cloud.
PlantNeeds: The AI gardener that knows your plants—and your weather.
Reconciles cross-border invoice payments against messy bank deposits for agri exporters — flags underpaid, late, and unpaid invoices, with a chaser letter ready to send.
