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.
Research, tutorials, and the latest from the Yanok AI platform
Practical patterns for deploying agentic workflows that handle failures gracefully and maintain consistency across multi-step operations.
Step-by-step guide to using Model Context Protocol servers for seamless AI-to-tool integration in agentic workflows.
Cost-performance analysis of major AI models for different workflow stages, with benchmarks from real enterprise deployments.
Technical analysis of Claude Opus 4 architecture including extended thinking, tool use improvements, and million-token context.
Gartner evaluates 18 vendors in the emerging AI workflow orchestration market, identifying leaders in agentic automation capabilities.
A practical framework for implementing security controls in agentic AI systems, covering prompt injection defense, action authorization, and audit compliance.
Research defining a 4-paradigm framework for adapting agentic AI, explaining why demos succeed but production deployments often fail.
Google's annual research review highlighting 2025 as 'the year of AI agents,' covering breakthroughs in reasoning, scientific discovery, and the Agentic AI Foundation.
Deloitte's annual technology trends report examining how agentic AI is transforming enterprise operations, decision-making, and competitive strategy.
DeepMind's latest research on world models (Dreamer 4), embodied AI agents (SIMA 2), and evolutionary code optimization (AlphaEvolve).
Microsoft integrates Model Context Protocol into Copilot Studio, enabling enterprises to build agents that connect to external tools and data sources.
Announcement of MCP donation to Linux Foundation's Agentic AI Foundation, co-founded with Block, OpenAI, Google, Microsoft, and AWS.
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