Como cliente Amazon Prime obtén 3 meses de Audible gratis
Prompt Engineering for OpenClaw AI Assistant
72 Prompts That Make Your AI Agent Actually Useful
No se ha podido añadir a la cesta
Error al eliminar la lista de deseos.
Se ha producido un error al añadirlo a la biblioteca
Se ha producido un error al seguir el podcast
Error al dejar de seguir el podcast
Suscríbete a la prueba gratuita para poder disfrutar de este libro a un precio exclusivo para suscriptores
Compra ahora por 13,99 €
-
Narrado por:
-
Ed Fairbanks's voice replica
-
De:
-
Ryan Foster
Este título utiliza una réplica de voz de narrador
Acerca de este título
Transform your AI interactions from frustrating to phenomenal with the definitive guide to prompt engineering for the OpenClaw AI Assistant. Whether you are a complete beginner or looking to master advanced techniques, this practical handbook gives you the exact frameworks, templates, and strategies to communicate with AI tools like a true professional.
Prompt engineering is rapidly becoming one of the most valuable skills in the digital economy. The people who master this skill are quietly automating tedious work, creating better content faster, and building competitive advantages in their careers and businesses. This book focuses specifically on OpenClaw AI Assistant while teaching you transferable principles that work across ChatGPT, Claude, Gemini, and other leading AI platforms.
Inside this comprehensive guide, you will discover how to craft precise prompts that consistently produce high-quality results, eliminate common mistakes that lead to poor AI responses, and apply proven techniques across writing, coding, research, marketing, customer support, and business automation. Each chapter builds systematically, transforming you from a casual user into a confident AI communicator.
You will learn the core principles of effective prompt design, including role prompting, chain-of-thought reasoning, few-shot examples, and constraint setting. The book provides ready-to-use prompt templates for content creation, data analysis, creative writing, technical documentation, and workflow automation. Advanced techniques include prompt chaining, self-critique systems, and the creation of reusable prompt libraries that save hours every week.
This guide breaks down complex concepts into simple, actionable steps that anyone can follow. You do not need a background in computer science or machine learning. All you need is curiosity and a desire to get more value from your AI tools.
©2026 Ryan Foster (P)2026 Ryan Foster