دانلود کتاب راهنمای کامل Agentforce -برنامه‌ریزی، طراحی، ساخت و اجرای عامل‌های هوش مصنوعی با Salesforce

We live in an exciting time where AI agents are becoming part of everyday life. The pace of transformation has been phenomenal: in just three years, we’ve gone from early, awkwardly unreliable GenAI chatbots to enterprise-grade autonomous agents capable of handling mission-critical processes. Back in late 2022, when ChatGPT first captured the public’s attention, headlines were filled with artificially generated images of disfigured humans with misshapen hands (where did that sixth finger come from?). We also saw cautionary tales across the web about AI models spouting falsehoods and spreading biased or toxic content. While unfortunate, these early lessons fueled much of the progress we’ve witnessed since. Today, agentic AI can reason and respond in ways that are not only indistinguishable from humans but often surpass them in their ability to absorb and analyze vast amounts of information. The technology is here, waiting for those with the vision and skill to harness it. With this in mind, I invite you, dear reader, on a journey to explore the world of agentic AI, with all its potential and peril. With the title of this book being A Complete Guide to Agentforce, we focus on one of the leading contenders in what I like to call the “agentic arms race.” We are witnessing one of the biggest technological waves in recent history, as businesses of all sizes scramble to secure their slice of the growing AI market. Technology giants like Amazon, Google, Microsoft, and IBM leverage their vast infrastructure services to establish firm footholds, while pure-play AI providers such as Anthropic and OpenAI vie for supremacy in model performance. For Salesforce, the path forward was less obvious: it no longer had its own infrastructure nor a strong position in the AI model space. It had to think outside the box—or rather, inside it. As the world’s leading CRM provider, Salesforce found its strength in its core: delivering a centralized, metadata-driven framework to power business processes. This is how Agentforce came into being. If you’ve worked in the Salesforce ecosystem in recent years, you couldn’t have missed the company’s unprecedented go-to-market push to bring Agentforce to customers, system integrators, and software vendor partners. The reason for this almost maniacal drive is simple: Salesforce is facing an existential battle. Winning this arms race would not only bring a healthy injection of revenue but also secure its position as a relevant player in the business insights and automation space. As one of the pioneers of the early SaaS movement, Salesforce once disrupted previously unchallenged megaliths like Oracle and IBM, but that was over 25 years ago. Today, Salesforce finds itself in the very position it once sought to challenge. The question is: Does Salesforce still have what it takes to remain relevant in the minds of its customers and partners? Or will it fade into the sidelines as a mere provider of data and context for emerging AI-native platforms? One thing is clear: Salesforce won’t go down without a fight. Time and again, it has proven its ability to reinvent itself—and this time, it’s going full force toward the vision of an agentic enterprise. What does this mean for Salesforce customers? Understandably, this singleminded pursuit of all things agentic has left many customers feeling bewildered: Does Salesforce still do CRM, or is everything suddenly supposed to be agentic? To grasp the implications, it’s important to understand the difference between an agent and agentic. An agent is an entity that runs on an AI-driven reasoning engine, retrieves data to inform its decisions, and uses prebuilt actions to achieve outcomes. Agentic AI, however, is a broader concept: a new way of approaching business processes and automation. Where companies once relied on fixed rules and logic to automate workflows, agentic AI enables processes that adapt, learn, and grow with your business. This is the destination Agentforce aims to take you. Put simply: agents are the vehicle; agentic AI is the journey.