YanokAI Research Library
Curated collection of research on agentic AI, enterprise automation, and the Model Context Protocol from leading institutions.
46 papers from 31+ sources
Featured Research
Agentic AI in Production: Patterns for Reliable Multi-Step Automation
Practical patterns for deploying agentic workflows that handle failures gracefully and maintain consistency across multi-step operations.
MCP Integration Guide: Connecting AI Agents to Enterprise Tools
Step-by-step guide to using Model Context Protocol servers for seamless AI-to-tool integration in agentic workflows.
Anthropic Claude Opus 4: Architecture Deep Dive and Enterprise Applications
Technical analysis of Claude Opus 4 architecture including extended thinking, tool use improvements, and million-token context.
The State of AI in 2025: Agents, Innovation, and Transformation
Comprehensive global survey analyzing AI adoption patterns, agentic AI scaling, and enterprise transformation strategies across 21 industries.
2025 Agentic AI Report: Key Findings & Enterprise Insights
90% of IT executives identify processes for agentic AI improvement. Survey reveals enterprise readiness and implementation priorities.
Why Agentic AI Systems Fail in Production: A Stanford-Harvard Analysis
Research defining a 4-paradigm framework for adapting agentic AI, explaining why demos succeed but production deployments often fail.
All Research
46 results
Agentic AI in Production: Patterns for Reliable Multi-Step Automation
Practical patterns for deploying agentic workflows that handle failures gracefully and maintain consistency across multi-step operations.
MCP Integration Guide: Connecting AI Agents to Enterprise Tools
Step-by-step guide to using Model Context Protocol servers for seamless AI-to-tool integration in agentic workflows.
The Economics of AI Model Selection for Enterprise Workflows
Cost-performance analysis of major AI models for different workflow stages, with benchmarks from real enterprise deployments.
Anthropic Claude Opus 4: Architecture Deep Dive and Enterprise Applications
Technical analysis of Claude Opus 4 architecture including extended thinking, tool use improvements, and million-token context.
Gartner 2026 Magic Quadrant: AI Workflow Orchestration Platforms
Gartner evaluates 18 vendors in the emerging AI workflow orchestration market, identifying leaders in agentic automation capabilities.
Securing Agentic AI: A Framework for Enterprise Guardrails
A practical framework for implementing security controls in agentic AI systems, covering prompt injection defense, action authorization, and audit compliance.
Why Agentic AI Systems Fail in Production: A Stanford-Harvard Analysis
Research defining a 4-paradigm framework for adapting agentic AI, explaining why demos succeed but production deployments often fail.
Google 2025 Year in Review: AI Agents, Reasoning, and Scientific Discovery
Google's annual research review highlighting 2025 as 'the year of AI agents,' covering breakthroughs in reasoning, scientific discovery, and the Agentic AI Foundation.
Tech Trends 2026: Agentic AI Reshaping Enterprise Strategy
Deloitte's annual technology trends report examining how agentic AI is transforming enterprise operations, decision-making, and competitive strategy.
Dreamer 4, SIMA 2, and AlphaEvolve: Advances in Autonomous AI
DeepMind's latest research on world models (Dreamer 4), embodied AI agents (SIMA 2), and evolutionary code optimization (AlphaEvolve).
Microsoft Copilot Studio: Building Enterprise AI Agents with MCP
Microsoft integrates Model Context Protocol into Copilot Studio, enabling enterprises to build agents that connect to external tools and data sources.
Donating MCP and Establishing the Agentic AI Foundation
Announcement of MCP donation to Linux Foundation's Agentic AI Foundation, co-founded with Block, OpenAI, Google, Microsoft, and AWS.
The 2025 Autonomous IT Report: Agentic AI and Enterprise IT
Research exploring how agentic AI is reshaping enterprise IT operations with autonomous systems and intelligent automation capabilities.
AI Agents Conference: Stanford Open Conference of AI Agents for Science 2025
Stanford conference featuring research on AI agents in economic marketplaces, strategic decision-making, and simulation frameworks for agent behavior.
LangChain and LangGraph: The Agent Framework Landscape 2025
Comprehensive overview of building production-ready AI agents with LangChain and LangGraph, including multi-agent orchestration patterns.
The State of AI in 2025: Agents, Innovation, and Transformation
Comprehensive global survey analyzing AI adoption patterns, agentic AI scaling, and enterprise transformation strategies across 21 industries.
The Emerging Agentic Enterprise: Navigating a New Age of AI
Ninth annual global research study analyzing how organizations with extensive agentic AI adoption are transforming their operating models.
AEGIS Framework: AI Agent Threat Detection and Governance
Forrester's AEGIS framework addresses emerging security threats from AI agents, providing enterprise governance and threat detection strategies.
CrewAI: Enterprise Multi-Agent Framework Powering Fortune 500
Task-oriented AI agent framework now powering 60% of Fortune 500 companies. $18M funding to scale role-based agent collaboration for business workflows.
Top Strategic Technology Trends 2025: Agentic AI
Gartner predicts 33% of enterprise software will include agentic AI by 2028, while 40% of AI projects may be cancelled by 2027 due to poor data quality.
Model Context Protocol: Landscape, Security Threats, and Future Directions
Security analysis of MCP including prompt injection vulnerabilities, tool permissions, and recommendations for secure enterprise deployment.
Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions
Systematic PRISMA-based review of 90 studies introducing a dual-paradigm framework: Symbolic/Classical and Neural/Generative approaches to agentic systems.
How Agentic AI is Transforming Enterprise Platforms
Analysis of how agentic AI is redefining business operations with intelligent virtual assistants that analyze data and make decisions autonomously.
State of Enterprise AI 2025: How Businesses Are Using AI
Enterprise AI usage scaling with 8x message volume growth. Users report saving 40-60 minutes daily on technical tasks like analysis and coding.
AI Leaders Outpace Laggards: Double Revenue Growth and 40% More Cost Savings
BCG research showing agentic AI drives 17% of total AI value today, expected to nearly double by 2028. Only 5% of companies qualify as 'future-built' for AI.
A Survey of the Model Context Protocol: Standardizing Context for LLMs
Academic survey examining how MCP standardizes context sharing between AI systems, enabling more reliable multi-agent coordination patterns.
MCP Enterprise Adoption Guide 2025: Implementation Strategies
Complete guide covering MCP enterprise adoption, market trends, and implementation strategies for production-scale AI deployments.
Amazon Bedrock AgentCore: Enterprise-Scale AI Agent Deployment
Framework-agnostic platform for deploying AI agents with deterministic policy enforcement, multi-agent collaboration, and comprehensive observability.
MCP at First Glance: Security and Maintainability of MCP Servers
First large-scale study of 1,899 MCP servers finding 7.2% contain vulnerabilities, 5.5% exhibit tool poisoning, and 66% have code smells.
Future of Work with AI Agents: Automation Potential Across the U.S. Workforce
Stanford-led study finding 80% of U.S. workers may see LLMs affect at least 10% of their tasks. Examines AI agents' impact across professional domains.
State of Generative AI in the Enterprise 2025
52% of organizations most interested in agentic AI. Almost all report measurable ROI, with 20% exceeding 30% returns on GenAI investments.
AI-Researcher: Autonomous Scientific Innovation with Multi-Agent Architecture
Introduces a fully autonomous research system orchestrating the complete scientific discovery lifecycle through specialized multi-agent collaboration.
AI Agents vs. Agentic AI: A Conceptual Taxonomy and Applications
Comprehensive taxonomy reviewing application domains spanning customer support, healthcare, research automation, and robotics coordination.
Enterprise-Grade Security for Model Context Protocol: Frameworks and Mitigation
Comprehensive multi-layered security framework for MCP emphasizing defense-in-depth, Zero Trust principles, and rigorous tool vetting strategies.
Agentic AI for Scientific Discovery: Progress, Challenges, and Future Directions
Survey examining frameworks like LitSearch, ResearchArena, and Agent Laboratory that automate research workflows including citation management and academic survey generation.
The Future of AI-Powered Enterprise Automation
Agentic AI is replacing brittle rule engines with systems that plan, act, and learn. This guide explains enterprise adoption patterns, ROI drivers, and next-generation multi-agent architectures.
How Yanok Reduces Integration Complexity by 80%
Integration delivery breaks when every API, schema, and policy change requires custom code. Yanok combines no-code orchestration, AI-assisted setup, and MCP to cut implementation complexity by up to 80%.
5 Signs Your Business Needs Workflow Automation
If manual operations are driving delays, rework, and customer friction, your organization is likely automation-ready. These five signals help leaders prioritize high-impact workflows first.
From Legacy Systems to AI-Native: A Migration Guide
Legacy integration stacks create hidden cost and operational drag. This migration guide outlines a practical assessment model, phased rollout strategy, and KPI framework for AI-native modernization.
ISO 42001 & NIST AI RMF: Compliance Guide for EU AI Act
Practical guide mapping ISO 42001 AI Management System and NIST AI RMF frameworks to EU AI Act compliance requirements for enterprises.
2025 Agentic AI Report: Key Findings & Enterprise Insights
90% of IT executives identify processes for agentic AI improvement. Survey reveals enterprise readiness and implementation priorities.
AI in Action: Beyond Experimentation to Transform Industry
WEF report on enterprise AI transformation, examining how organizations move from AI experimentation to production-scale implementation across industries.
Building Custom AI Agents Without Code
Non-technical teams can now build reliable AI agents using natural language, visual workflows, and guardrails. This guide covers practical design, deployment, and production best practices.
Introducing the Model Context Protocol
Official introduction of MCP, the open standard enabling secure two-way connections between AI systems and external data sources and tools.
AI-Led Processes: Companies Achieve 2.5x Higher Revenue Growth
Research finding 74% of organizations see AI investments meet or exceed expectations. Companies with AI-led processes achieve 2.5x revenue growth and 3.3x GenAI scaling success.
Practices for Governing Agentic AI Systems
OpenAI's foundational white paper identifying seven practices for keeping agentic AI systems safe and accountable, defining key lifecycle parties and responsibilities.