Thalden Miro (72 results)

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Taschenbuch. Condition: Neu. Neuware - In an era of increasing regulatory scrutiny and sophisticated data threats, organizations can no longer afford ad-hoc approaches to Notion AI workflow automation. Permission sprawl, untraceable AI actions, and missing audit trails have turned flexible workspaces into compliance liabilities that expose sensitive data and invite regulatory penalties. Governing Notion AI Workflow Automation Protocols provides the definitive, production-ready framework for embedding security, auditability, and compliance directly into your Notion AI systems. You will replace reactive permission fixes and manual oversight with structured governance architectures that scale with your organization while protecting sensitive information. Inside, you will master how to: - Architect enterprise-grade role-based access controls and hierarchical permission structures across Notion pages, databases, and AI agent interactions using least-privilege principles- Design automated, tamper-evident audit systems that capture every workflow execution, data modification, and access event through relations, formulas, buttons, and AI-triggered logging- Embed data classification schemas, compliance checkpoints, and policy-as-code controls into every layer of your AI-powered automation architecture- Build approval-gated workflows, human-in-the-loop governance, and exception-handling protocols with complete traceability for regulated processes- Scale governance frameworks across teams and departments with delegated oversight, centralized policy databases, and automated enforcement mechanisms>This book is written for compliance officers, information security leads, operations managers, and senior Notion administrators in mid-to-large organizations responsible for AI-enhanced workflow automation involving sensitive, regulated, or confidential data. It is not intended for solopreneurs or teams seeking basic productivity templates.>Scroll up and secure your copy of the definitive guide to governing Notion AI workflow automation-build systems your organization can trust and defend.…

Taschenbuch. Condition: Neu. Neuware.

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Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. In the rapidly evolving landscape of agentic AI, developers are shifting from manual coding to orchestrating intelligent, autonomous systems. AI-Powered Development with Replit by Miro Thalden is the comprehensive guide to creating fully automated software workflows using Replit's powerful AI Agents as the core platform, enhanced by LangChain's advanced LLM chaining and tool-calling capabilities, and supercharged with n8n's flexible no-code automation engine. This hands-on technical book guides you through every stage of building production-ready AI-driven development pipelines. You'll master Replit Agents for autonomous code generation and project management, integrate LangChain for sophisticated reasoning and multi-agent collaboration, and leverage n8n for seamless connections to external services, triggers, and data flows. Packed with architectural diagrams, code examples, and real-world case studies, it covers best practices for reliability, scalability, security, and iterative refinement.Ideal for developers, DevOps engineers, and technical leads seeking to multiply productivity and build self-improving systems. Accelerate your development workflow with AI today-secure your copy and start building autonomous software factories. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. In an era of increasing regulatory scrutiny and sophisticated data threats, organizations can no longer afford ad-hoc approaches to Notion AI workflow automation. Permission sprawl, untraceable AI actions, and missing audit trails have turned flexible workspaces into compliance liabilities that expose sensitive data and invite regulatory penalties. Governing Notion AI Workflow Automation Protocols provides the definitive, production-ready framework for embedding security, auditability, and compliance directly into your Notion AI systems. You will replace reactive permission fixes and manual oversight with structured governance architectures that scale with your organization while protecting sensitive information. Inside, you will master how to: - Architect enterprise-grade role-based access controls and hierarchical permission structures across Notion pages, databases, and AI agent interactions using least-privilege principles- Design automated, tamper-evident audit systems that capture every workflow execution, data modification, and access event through relations, formulas, buttons, and AI-triggered logging- Embed data classification schemas, compliance checkpoints, and policy-as-code controls into every layer of your AI-powered automation architecture- Build approval-gated workflows, human-in-the-loop governance, and exception-handling protocols with complete traceability for regulated processes- Scale governance frameworks across teams and departments with delegated oversight, centralized policy databases, and automated enforcement mechanisms- Establish continuous monitoring dashboards, incident response playbooks, and governance maturity models that maintain long-term compliance posture This book is written for compliance officers, information security leads, operations managers, and senior Notion administrators in mid-to-large organizations responsible for AI-enhanced workflow automation involving sensitive, regulated, or confidential data. It is not intended for solopreneurs or teams seeking basic productivity templates.Unlike generic Notion guides or high-level AI ethics books, this authoritative resource combines deep systems architecture with immediately deployable protocol templates, real-world enterprise case studies, and measurement frameworks purpose-built for Notion's environment. Scroll up and secure your copy of the definitive guide to governing Notion AI workflow automation-build systems your organization can trust and defend. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condition: new. Paperback. This book provides a detailed examination of designing and implementing multi-agent systems using LangGraph, the graph-based orchestration framework from LangChain. It focuses on advanced architectural patterns, including supervisor orchestration, hierarchical coordination, network collaboration, state management across cycles, conditional routing, persistence for durable execution, and integration with tools, memory, and external services. Readers will explore techniques for building controllable, scalable workflows that handle branching logic, error recovery, human-in-the-loop intervention, and performance optimization in real-world environments. The content assumes familiarity with Python, LangChain concepts, and LLM application development, targeting software engineers, AI architects, and technical leads who build production-grade agentic applications. Emphasis is placed on practical implementation strategies drawn from established patterns such as subagents, specialized routing, reflection loops, and multi-team coordination to achieve reliability and maintainability. Acquire this resource to deepen your capability in constructing robust LangGraph-based multi-agent solutions for enterprise-scale challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. In the rapidly evolving world of AI-driven development, Replit stands out as a powerful, browser-based IDE that democratizes access to cutting-edge tools. The Complete Replit AI Toolkit by Miro Thalden is the definitive guide for developers, engineers, and technical leaders who want to harness Replit's full potential in the age of generative AI. This comprehensive technical book takes you from foundational setup to advanced autonomous systems. You'll learn how to seamlessly integrate OpenAI models into Replit projects, construct sophisticated AI agents capable of independent reasoning and task execution, and leverage Replit's collaborative, cloud-native environment for next-generation application development. Whether you're building intelligent chatbots, automating complex workflows, deploying production-grade AI applications, or exploring multi-modal capabilities, this book provides deep, actionable insights backed by real-world examples, best practices, and production-ready code.Written by seasoned practitioner Miro Thalden, this is not just another AI tutorial-it's a complete toolkit that will elevate your development workflow and position you at the forefront of AI-powered coding. Ready to transform how you build with AI? Add The Complete Replit AI Toolkit to your library today and start creating the future of software development. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. This book examines technical methods for designing and implementing systems that coordinate language model agents to support complex, production-grade applications. It addresses core architectural patterns, coordination mechanisms, state management, tool integration, and scalability considerations in multi-agent environments powered by large language models. Drawing from established frameworks such as LangGraph, AutoGen, and CrewAI, along with advanced concepts in agent collaboration, planning, memory persistence, and workflow control, the content focuses on practical engineering decisions required for reliable deployment at scale. The material assumes familiarity with large language models, prompt engineering, Python development, and basic AI system design. It is intended for software engineers, AI architects, and technical leads building enterprise-grade agentic systems, rather than introductory learners. Explore these structured approaches to enhance the robustness and efficiency of your LLM-based applications. Add this resource to your library today for detailed reference in professional development projects. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.