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Как заставить OpenClaw проверять свою работу перед отправкой #openclaw #ai #агенты
The content discusses the limitations of having an AI agent (OpenClaw) verify its own work, as this approach lacks independent oversight and may not catch errors effectively. The video explores strategies for implementing proper quality control mechanisms where agents can validate their outputs before submission, emphasizing the importance of independent verification rather than self-checking by the same agent that produced the work.
- Self-verification by the same agent that created the work is ineffective and lacks objectivity
- Independent quality control requires a separate verification mechanism or agent
- Agents should implement pre-submission checks before delivering final results
- +5 more key points...
By Topic
Agent Teams
See all 6 →AgentTeams: uma equipe de agentes trabalhando junta
AgentTeams é uma plataforma open source que implementa colaboração multiagente com arquiteturas flexíveis como Manager-Workers e Matrix. A plataforma permite que múltiplos agentes trabalhem juntos de forma coordenada, com suporte a intervenção humana e diferentes padrões de organização. É projetada para facilitar a construção de sistemas de agentes que podem se comunicar, delegar tarefas e resolver problemas complexos colaborativamente.
Madruga Sabia
OpenClaw agents demonstrate how AI could automate an entire advertising workflow
OpenClaw agents demonstrate a shift in AI capabilities from simple content generation to full workflow automation in advertising. The agents can manage entire advertising processes end-to-end, handling multiple tasks autonomously. This represents a significant evolution in how AI can be applied to business operations, moving beyond isolated content creation to orchestrated, multi-step workflows.
AIDISCOVERED
Autonomous AI Agents & Multi-Agent Workflows: LangGraph vs CrewAI vs AutoGen (10-Slide Blueprint)
This blueprint compares three major frameworks for building autonomous AI agents and multi-agent workflows: LangGraph, CrewAI, and AutoGen. It covers how these systems work in enterprise production environments, their architectural differences, and practical implementation patterns for orchestrating multiple AI agents to solve complex tasks collaboratively.
DecaTech
Skills & Tools
See all 4 →101 | AI Agent Tools & Schemas Explained | Google ADK Function Calling | Tool Calling with Gemini
This video explores AI Agent Tools and Tool Schemas within Google's Agent Development Kit (ADK), focusing on function calling capabilities with Gemini. It covers how to define, structure, and implement tools that enable AI agents to interact with external systems and APIs. The content demonstrates practical patterns for tool calling, schema validation, and integration with Gemini models to create functional autonomous agents.
Implovate
Manus 2.0 in Under a Minute: AI Starts It, You Finish It #shorts
Manus 2.0 launched September 28, 2026, as a rebuilt platform designed for AI-assisted workflows where AI generates initial results and users refine them. The platform emphasizes a cascade approach where Manus reports findings and enables iterative improvement. This short-form content highlights the core value proposition of AI-starting tasks that humans complete.
Singularity Feed | AI Models , Agents & Robotics
How to build a web app with Manus AI[2026 Full Guide]
This guide covers building web applications using Manus AI, an AI-powered development platform. The video provides a comprehensive tutorial on leveraging Manus AI's capabilities to create functional web apps efficiently. It demonstrates the complete workflow from setup through deployment, making it accessible for developers of all skill levels.
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Multi-Agent Systems
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