AI Knowledge

Understanding, Building, and Deploying Intelligent Systems

A structured guide covering the full AI landscape – from foundational concepts and terminology through large language models, agentic systems, and advanced architectural methods like Retrieval-Augmented Generation and prompt engineering.

Beyond the fundamentals, this knowledge base explores practical applications across business and marketing, ethical governance and responsible AI frameworks, and the emerging trends shaping the future of artificial intelligence – including the agentic web, multimodal models, and autonomous reasoning systems.

AI Knowledge Sections

  • OpenAI Codex App Server Architecture

    Key Concepts: Codex App Server Bidirectional JSON-RPC Conversation Primitives (Item, Turn, Thread) Agent Client Protocol (ACP)

    OpenAI's Codex App Server decouples agent logic from UI using a bidirectional JSON-RPC protocol. Learn about its core primitives and why it diverges from MCP.

  • Google WebMCP: Direct Agent-Website Interaction

    Key Concepts: Web Model Context Protocol Declarative API Imperative API Agentic Web

    Google WebMCP turns Chrome into an AI agent playground by replacing fragile screen scraping with structured, direct website communication.

  • The Future of AI in E-commerce & Continuous Strategic Adaptation

    Key Concepts: hyper-personalization generative AI applications voice commerce predictive supply chains AI-driven sustainability innovation culture modular AI architecture safe-to-fail experimentation

    A strategic map of emerging AI trends reshaping e-commerce — from hyper-personalization and generative AI to predictive supply chains — and the organizational capabilities required for continuous adaptation.

  • Vector Databases

    Key Concepts: Vector Embeddings Semantic Search Hybrid Search HNSW Indexing pgvector

    An overview of vector databases, which are specialized systems designed for efficient similarity searches in high-dimensional spaces. Covers core algorithms like HNSW and IVF, the recall-latency trade-off, and their critical role in applications like RAG and semantic search.

  • AI for Strategic Checkout Optimization & Payment Security

    Key Concepts: intelligent form filling dynamic adaptive checkout flows behavioral biometrics transaction anomaly detection network analysis for fraud risk scoring dynamic friction false positive minimization PCI DSS compliance

    AI transforms the checkout experience through intelligent form filling, adaptive flows, and personalized option presentation while providing robust fraud prevention via behavioral biometrics, anomaly detection, and dynamic friction that protects revenue without alienating legitimate customers.

  • AI for CRO, Predictive Engagement & Cart Abandonment Recovery

    Key Concepts: predictive engagement scoring conversion propensity modeling multi-armed bandit testing contextual bandit personalization cart abandonment prediction multi-channel recovery campaigns SMART goals for CRO STRIVE framework evaluation

    AI transforms conversion rate optimization by scoring visitor engagement in real time, triggering precision interventions, accelerating A/B testing with bandit algorithms, and orchestrating personalized multi-channel cart abandonment recovery campaigns.

  • Conversational AI Strategy for E-Commerce

    Key Concepts: guided selling proactive engagement chatbot integration architecture human handover protocols lead qualification conversational AI ethics sentiment analysis

    A strategic framework for deploying AI chatbots in e-commerce as guided selling assistants, proactive engagement tools, lead capture systems, and support assets with full system integration and ethical safeguards.

  • AI for Personalized Post-Purchase Communication Strategy

    Key Concepts: post-purchase communication sequences AI-driven review timing sentiment analysis feedback loops channel and tone personalization WISMO reduction UGC generation strategy

    AI transforms post-purchase communication from generic follow-ups into personalized, strategically timed sequences that build confidence, generate reviews, and feed continuous improvement loops through sentiment analysis.

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