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Building Ambient AI Agents. Create autonomous always-on product experiences that move beyond chat Frederick Joseph Patton, Leman Pinar Patton

Książka w języku angielskim angielski
Building Ambient AI Agents. Create autonomous always-on product experiences that move beyond chat Frederick Joseph Patton, Leman Pinar Patton - okladka książki

Building Ambient AI Agents. Create autonomous always-on product experiences that move beyond chat Frederick Joseph Patton, Leman Pinar Patton - okladka książki

Building Ambient AI Agents. Create autonomous always-on product experiences that move beyond chat Frederick Joseph Patton, Leman Pinar Patton - audiobook MP3

Building Ambient AI Agents. Create autonomous always-on product experiences that move beyond chat Frederick Joseph Patton, Leman Pinar Patton - audiobook CD

Autorzy:
Frederick Joseph Patton, Leman Pinar Patton
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Bądź pierwszym, który oceni tę książkę
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Traditional AI agents perform like customer service reps: they wait. But users get stuck, lose confidence, and quietly leave unable to articulate what's wrong, while the agent lacks the context to help. Building Ambient AI Agents shows a different way. Ambient agents don't wait for a prompt. They read a stream of behavioral signals and act at the right moment, often before the user thinks to ask.

In this book, you will go beyond simple chatbots and build an always-on AI agent. First, you will explore the limits of reactive AI systems, before introducing the key principles of ambient agents: observation, memory, and restraint. Then, through hands-on instructions, architectural patterns, and detailed explanations, you will work through the five phases of the agent loop - sense, interpret, decide, act, and learn - to create a complete working ambient AI system. Throughout, you will use Next.js, along with LangGraph to orchestrate stateful agent workflows, Neo4j to provide structured and semantic memory, and CopilotKit AG-UI to deliver real-time user-facing interactions.

By the end of the book, you will have built a fully operational ambient AI agent, you will understand how to bridge the gap between reactive and proactive systems, building an always-on ambient AI agent that is constantly observing.

O autorach książki

Fred Patton is a Senior Developer Advocate on the Auth0 for Startups team at Okta, working at the intersection of identity and AI systems design. He has special interest in building ambient agents: continuous, event-driven AI processes that observe, remember, and act within governed boundaries. With experience in real-time streaming architectures at Nstream (formerly swim[dot]ai) across data, security, and healthcare contexts, Fred is able to leverage distributed systems experience in designing AI systems. A polyglot developer with love for Rust, Scala, Node.js, and Python, he gravitates toward FastAPI, Next.js, functional domain-driven design, and event sourcing. Fred also writes and speaks on governable AI systems.
Pinar Patton is a data scientist trained in statistics and data mining, who applies core statistical principles, such as pattern recognition and probabilistic inference, to modern AI systems. This enables her to design and evaluate machine learning systems that operate reliably in dynamic environments, with a focus on signal extraction, uncertainty management, and robustness to data drift. In the context of ambient agents, she designs memory systems, signal interpretation frameworks, and statistical infrastructure to evaluate evolving user state over time. While previously developing a research assistant for quantum computing with Fred, she spearheaded the development of a continuously updated hybrid of knowledge graph and social graph.

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