LLM Agent Security Design Guide: From Prompt Injection to Secure Deployment
How to apply least privilege to LLM agents: minimize tools, drop open-ended tools, narrow service-account permissions, run in the user's context, and require approval for risky actions. Includes an OWASP LLM06 (Excessive Agency) checklist, server-side tool authorization code, and prompt-injection and guardrail defenses.
RAG + Knowledge Graphs: A Reasoning Architecture for LLM Agents
This guide shows how to overcome RAG’s limits of simple information retrieval and build next-generation agent systems that require complex relational reasoning. Learn an architecture that fundamentally strengthens LLM agent reasoning using
Architecture Design Guide for LLM Agents Directly Controlling Robots and Equipment: Digital Twin-Based AIoT
An in-depth analysis of the latest AIoT architectures that connect LLM reasoning to real-world physical actuation. Combining digital twin and CPS concepts, it presents a concrete roadmap for building intelligent automation systems on the in
Architectural Design to Prevent LLM Agents' 'Memory Loss': An In-Depth Guide to Implementing Long-Term Memory (LTM)
Going beyond the limits of a simple context window, this guide shows how to make agents persistently remember complex work context. It presents an architectural blueprint that combines knowledge graphs, multi-stage recall, and a dedicated s
LLM Agent Function Calling: How It Works and How to Design Multi-Step Workflows
A deep dive into how LLMs go beyond simple text generation to call external APIs and make complex decisions. From understanding the Function Calling mechanism to designing multi-step reasoning loops, you will gain practical agent-orchestrat
Automating Market Research with LLM Agents: A Design Guide for AI Workflows That Solve Complex Business Problems
Go beyond simple chatbots and understand how LLM agents plan on their own and use tools. This guide provides a concrete design blueprint and implementation roadmap for automating complex business problems such as market research.
Five Monetization Models for LLM Agents and the Steps to an MVP
Don't let your LLM agent remain a mere tech demo. This guide presents five proven business models that turn AI into real revenue, plus a practical 3-step roadmap for taking an idea to a minimum viable product (MVP).
LLM Agent Development Stages: Goal Definition, Prototyping, Tool Integration, and Deployment Checks
Not sure where to start with LLM agent development? This guide turns the messy path from idea to production into a four-stage roadmap, covering core concepts, RAG implementation, and how Tool Calling actually works.
Beyond Prototypes to Production: A DevOps Guide to Reliable Deployment and Cost Optimization for LLM Agents
A practical guide to taking LLM agents from research into real business services. From building CI/CD pipelines to token cost tracking and fallback patterns, this is a complete production-grade LLMOps playbook.
How LLM Agents Evolve from Simple Workers into Business Orchestrators (Part 1)
Still thinking of LLM agents as simple Q&A chatbots? This guide presents the system architecture through which agents evolve into orchestrators that independently plan, execute, and control entire complex business processes.
State Management for LLM Agents: Stabilizing Long Workflows with State Machines and Memory Layers
For LLM agents to reliably execute complex business processes beyond simple conversation, state management is essential. This guide combines two core architectural patterns—state machines and a memory layer—to provide a concrete blueprint f
LLM Agents: How to Evolve Beyond Simple Chatbots into Autonomous Workers
Beyond the limits of prompt engineering, LLM agents are evolving into “workers” that autonomously carry out complex tasks using external tools. This guide goes deep—from the core operating principles of agents to a practical implementation