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    Articles

    Expert materials on artificial intelligence, machine learning and innovative AI-based solutions for marketing, business development and digital transformation.

    01
    Feb 18, 2026

    GraphRAG Implementation: What 12 Million Nodes Taught Us

    We built a GraphRAG system with Neo4j for a 14-source enterprise platform. Here's how entity extraction, graph modeling, and query routing work at scale.

    02
    Feb 17, 2026

    AI Fallback Patterns: Models, Rules, and Human Escalation

    AI fallback patterns route decisions from models to rules to humans. Learn when each layer should activate and how to tune the thresholds for production.

    03
    Feb 16, 2026

    AI Agent Communication Patterns Beyond Single-Agent Loops

    Most agent tutorials stop at single-agent tool loops. Learn the communication patterns—orchestration, pub-sub, blackboard, and delegation—that make multi-agent systems work in production.

    04
    Feb 13, 2026

    Multi-Agent AI Systems: Orchestration That Actually Ships

    Most multi-agent AI systems fail at coordination, not capability. Here's how to design orchestration patterns, shared state, and failure recovery that work in production.

    05
    Feb 12, 2026

    How to Add AI to Existing Software Without Rewriting It

    You don't need to rebuild your software to add AI. Learn practical integration patterns—API wrappers, sidecar services, and middleware layers—that bolt intelligence onto your existing codebase.

    06
    Feb 11, 2026

    vLLM vs Ollama vs TensorRT-LLM: Which Inference Server Fits Your Workload

    Practical comparison of vLLM, Ollama, and TensorRT-LLM for self-hosted model serving. Real throughput numbers, setup complexity, and which framework matches your team and traffic.

    07
    Feb 10, 2026

    How to Test AI Systems When There's No Right Answer

    Practical methods for testing AI systems with subjective outputs. Rubrics, LLM-as-judge, pairwise comparison, and human evaluation that actually scales.

    08
    Feb 9, 2026

    Evals-Driven Development: How It Actually Works in Practice

    Everyone says 'use evals' to ship better AI. Almost nobody explains what that means. Here's the practical workflow for evals-driven development in production.

    09
    Jan 21, 2026

    Dynamic vs Static Prompts: Which Costs More to Maintain?

    Compare maintenance costs of dynamic vs static prompts in production AI. Learn when each approach makes sense and how to minimize operational overhead.

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