And of course someone just had .. just had to try it out ! This guy literally recreated the entire system usng N8N ! Check this out ! The article explains how the author recreated Anthropic’s recently published multi-agent research system entirely with the low-code automation platform n8n, eliminating the need for traditional software engineering. Central to the solution is a clearly separated set of AI agents—Customer Support, Lead (Orchestrator), multiple parallel Search Subagents, and a Copywriter—that collaborate through n8n workflows, external APIs, and structured JSON outputs to turn a vague user request into a polished, PDF research report in about seven minutes. By sharing the architecture, tools (e.g., Brave Search, ScrapingAnt, OpenRouter, Markdown Master), and a ready-to-use template, the author encourages product managers to develop AI intuition, automate knowledge-heavy tasks, and build impressive portfolio projects. #n8n #anthropic #multiagent #lowcode #automation #zapier #makecom #aiagents #orchestrator #bravesearch #scrapingant #openrouter #markdownmaster #workflowautomation #nocode #aiworkflow #productmanager #airesearch #pdfgeneration #jsonoutput #aiportfolio #knowledgeautomation #aicollaboration #workflowbuilder #aiintegration https://www.productcompass.pm/p/multi-agent-research-system

The ever-so careful Anthropic ! Meticulously daling with the fundamentals the complete exact opposite of OpenAI (Oh wait they are ex-OpenAI emplyess by the way .. right ?) Anthropic’s new Research feature adopts a multi-agent architecture where a lead Claude model orchestrates specialized subagents that search the web and other tools in parallel, enabling dynamic, breadth-first investigations that outperform single-agent approaches. Achieving dependable performance required careful prompt engineering—teaching agents how to delegate, scale effort, choose tools, and think aloud—as well as bespoke evaluation methods that combine LLM-as-judge metrics with human review. While the system delivers significant accuracy and speed gains, it also introduces engineering and economic challenges such as heavy token consumption, stateful error handling, and complex deployment, all of which demand rigorous observability, iterative testing, and robust production safeguards. #claude #anthropic #research #multiagent #airesearch #webresearch #perplexity #searchgpt #tavily #aiagents #promptengineering #llmasajudge #aiorchestration #parallelprocessing #breadthfirst #tokenoptimization #aiobservability #productionai #aitools #aievaluation https://www.anthropic.com/engineering/built-multi-agent-research-system

Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. Resources: Get Started → https://google.github.io/adk-docs Sample Agents → https://goo.gle/3Rbdo4s Subscribe to Google for Developers → https://goo.gle/developers #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic

Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. #ADK #AgentDevelopmentKit #GoogleAI #AIAgents #MultiModal #MultiAgentSystems #OpenSource #SoftwareDevelopment #AIDevelopment #AIWorkflow #AItools #AutoGen #LangChain #AIPlanning #Debugging #BuiltInUI #TravelPlanner #AgentFramework #ModelAgnostic #DeploymentAgnostic https://youtu.be/zgrOwow_uTQ

Vy is a native Mac app that uses advanced interaction capabilities and reasoning agents for human-computer interaction. It aims to eliminate the need for clicking, memorizing shortcuts, or navigating menus by allowing users to directly instruct the app. Vertex AI Agent Builder is another tool, that helps to create multi-agent experiences by building on existing processes. https://vercept.com/ #VyApp #MacApps #HumanComputerInteraction #AItechnology #VoiceControl #NoClickNeeded #AIAgents #VertexAI #MultiAgentSystems #AIBuilder #Automation #TechInnovation #FutureOfAI #SmartSolutions