Guides & How-tos

Moving OpenClaw from a local experiment to a reliable production service requires more than just `npm start`. This guide provides a battle-tested checklist for securing, scaling, and maintaining autonomous agents in the wild, ensuring your AI workforce is reliable, secure, and ready for real-world traffic.

Decentralized storage spreads data across networks for AI agents. This setup offers resilience and resists censorship. Agents store simulation data, artifacts, and RAG sources persistently, and it needs to works alongside MCP tools and workflows. This guide compares IPFS, Filecoin, Arweave, and centralized options like Fast.io. Decentralized storage often lacks key agent features, such as ownership transfer and built-in RAG indexing.

MCP servers give AI agents secure access to sales data in agentic workflows. Sales teams use them to automate pipelines, query CRM exports, and manage leads without custom integrations. This guide compares the top MCP servers for sales, based on CRM compatibility, security, pricing, and ease of use. Includes a comparison table and detailed reviews.

MCP servers equip logistics AI agents with real-time tracking and ERP access. They handle inventory checks, route planning, supply chain coordination. McKinsey says AI cuts logistics costs 15%. This guide reviews top options, focusing on multi-agent collaboration in shared workspaces.

MCP servers link AI agents to sales tools like CRMs, file storage, and messaging. Top picks give secure file access, CRM links, and workflow help to close deals quicker. This guide reviews multiple options for sales teams.

Prefect integrates AI agents into reliable data pipelines. Use Prefect to run AI agent workflows with retries, caching, and scheduling. Combine with Fast.io for persistent storage that survives flow failures. AI agent prefect integration solves key problems like ephemeral data and coordination failures. Agents produce files, summaries, or datasets. Prefect ensures they run on schedule. Fast.io MCP tools let agents upload outputs to shared workspaces where humans review them. This multiple-word guide covers setup, code examples, persistent patterns, deployment, scaling, troubleshooting, and comparisons. Developers get step-by-step instructions with full code.

AI agent infrastructure automation helps you scale agent workflows from one bot to thousands. Most teams focus on compute but forget often overlook storage that lasts. This guide shows how to set up self-managing infrastructure for your agents using modern tools and Fast.io's intelligent workspaces.

AI agent HR recruiting automates the most time-consuming parts of the hiring process, from sourcing candidates to scheduling interviews. HR teams can hand off repeat tasks to these agents and cut time-to-hire by up to 50%, with better candidate fits. This guide explains how to build an automated recruiting workflow that handles both communication and document logistics.

Guide to validating mcp tool inputs: Input validation prevents AI agents from crashing or performing unsafe actions. This guide covers how to implement strict schema validation for MCP tools using Zod and JSON Schema, ensuring your agents operate securely and reliably.

Retrieval-Augmented Generation (RAG) systems can fail silently, serving confident but incorrect answers. To build reliable agents, you need reliable evaluation pipelines. This guide compares the top tools for RAG evaluation, including Ragas, TruLens, and DeepEval, to help you measure context precision, faithfulness, and answer relevance.

Building marketing AI agents requires more than a chatbot script. You need a complete stack: a brain to reason, a framework to organize tasks, and a workspace to store results. This guide covers the essential tools for developers and marketers building autonomous campaigns.

Guide to prompt management tools developers: Managing prompts in production requires more than a spreadsheet. Explore the top tools for versioning, testing, and deploying prompts like code.

OpenClaw tools give coding agents the libraries and access they need to write software. With AI now handling about 45% of routine maintenance tasks, picking the right toolkit matters. This guide ranks the top tools to help your OpenClaw agent write better code.

OpenClaw skills automate video production tasks like editing, asset management, and reviews with MCP tools. Video teams deal with large files every day, so streaming previews and RAG for transcripts are especially useful. We ranked multiple options by OpenClaw compatibility, performance, and value.

Top OpenClaw skills for VFX artists handle multiple shots and speed up Nuke pipelines. ClawHub skills automate asset management, frame reviews, and agent collaboration to shorten delivery times. We picked them based on VFX fit, OpenClaw support, and performance in real studios.