243 items indexed · AI tools, prompts, hooks & techniques
Use the OpenCLAW framework to build a virtual team of specialized AI agents that automate complex software development. Create a 'software factory' with distinct agents for architecture, coding, code review, and documentation, each configured with different AI models and tools to operate efficiently.
This guide demonstrates how to build an automated system for handling new sales leads using the open-source OpenClaw framework. By creating multiple specialized AI agents, you can automatically validate, qualify, and respond to sales inquiries, significantly speeding up your sales process and reducing manual CRM data entry.
This guide explains how to use the OpenAI Codex CLI to create automated teams of AI agents. These agents can work together on complex coding projects, like building a game, by passing tasks from one specialist (like a designer) to another (like a developer), all while keeping their work separate to avoid conflicts.
OpenCLAW is a framework for creating teams of specialized AI agents that work together inside your business. This guide provides a 7-phase roadmap for building, testing, and deploying these agent systems to automate complex tasks, such as synchronizing customer data between different software applications.
This guide details how to build a team of collaborating AI agents using the OpenCLAW framework to automatically monitor, diagnose, and fix server errors. This creates a 'self-healing' system that minimizes downtime and reduces the need for manual IT intervention, improving system reliability.
Use the OpenCLAW framework to build and deploy teams of specialized AI agents that collaborate to automate complex business processes. This guide provides a complete roadmap for orchestrating these agents for tasks like lead routing and CRM management, from initial planning to full-scale production deployment.
This guide demonstrates how to build an automated sales and marketing system using the OpenCLAW framework. Multiple AI agents collaborate to analyze new leads from a CRM, generate personalized outreach messages, and manage follow-ups, dramatically accelerating the sales pipeline.
The latest OpenAI Codex CLI update introduces powerful multi-agent capabilities, allowing several AI assistants to collaborate on a single project. It also gains terminal awareness to understand build errors and now supports the new GPT-5.4 model for enhanced performance.
Instead of using one single AI assistant, new frameworks allow you to create teams of specialized AI agents that work together to solve complex problems. This guide compares popular options, from agentic coding assistants built directly into your editor (like Cursor) to powerful backend systems (like CrewAI and LangGraph) for building sophisticated, automated workflows.
OpenCLAW is an open-source framework for building local AI agent teams that automate business processes. This guide details a 7-phase roadmap for implementing multi-agent workflows, starting with a single high-value task like automating customer support or billing.
This is a toolkit for building advanced AI agents that run on 'edge networks', making them faster by being physically closer to users. These agents can search the web, access databases, and automatically hand off tasks to other specialized agents to solve complex problems.
This project provides blueprints for building automated AI assistants to handle complex business tasks like customer onboarding or content creation. It demonstrates how multiple AI 'agents' can collaborate, offering a model for creating a specialized digital workforce.