Agentic Security and Guardrails for Sensitive Data
A practical enterprise report on securing AI agents, sensitive data flows, guardrails, policy enforcement, and audit-ready controls.
Guides & Reports
In-depth technical reports and architectural guides for modern AI engineering. Browse, filter, or download.
13 guides
AWS Bedrock Guide
An end-to-end enterprise guide to Amazon Bedrock: model access, RAG, agents, guardrails, evaluation, cost control, and production architecture.
The Enterprise Agent Control Plane Report 2026
A pragmatic field guide for enterprises implementing agentic AI, covering the operating model, governance stack, platform choices, and ROI discipline required to move from pilots to production.
Knowledge Graphs and Graph RAG: A Practical Implementation Guide
A builder-focused report on knowledge graphs, Graph RAG architecture, retrieval patterns, evaluation, and the step-by-step path to shipping Graph RAG in production applications.
RAG, Advanced RAG, and Agentic RAG
A comprehensive technical guide to Retrieval-Augmented Generation — from naive RAG pipelines to advanced retrieval strategies and fully agentic RAG systems.
The AI Agent Governance Protocol
A comprehensive framework for managing autonomous agent systems with safety and compliance.
Agentic RAG Patterns: Beyond Vector Search
Implementing advanced retrieval strategies with agents, memory, and multi-hop reasoning.
Agentic Frameworks Comparative Report
An exhaustive cross-comparison of LangGraph, CrewAI, and Semantic Kernel for enterprise scale.
Agentic Routing: Scaling Intelligence with Semantic and Supervisor Patterns
A comprehensive technical study on orchestrating multi-agent systems using zero-latency semantic routing and hierarchical supervisor orchestration.
The 2026 Agentic Architecture Report: Agno, LangChain, CrewAI, and the Future of Autonomous Systems
A comprehensive analyst report comparing the leading Python agent frameworks—Agno, LangGraph, CrewAI, and Strands—defining the infrastructure for 2026.
Prompt Engineering: Beginner to Advanced
A comprehensive 5,000-word guide to mastering prompt engineering, from fundamental zero-shot techniques to advanced multi-agent orchestration and reasoning architectures.
AI Agents and How Businesses are Using it
The 2026 Enterprise Context on AI Agents: architectures, market adoption, and implementation strategies for autonomous systems.
The Agent Context Gap: How Structured State Management Solves Token Bloat & Decay
A deep-dive into the architectural patterns for high-performance agentic systems, using ShShell as a case study for context orchestration and state memory.