Event-Driven Architecture for AI Agents - Solving Real Production Patterns
A deep dive into building production-ready AI agents using event-driven architecture to solve message queuing, interrupts, function calls, and background tasks
Blog
Technical insights on AI engineering, RAG systems, and production workflows
Building an AI Agent Framework - Why I'm Starting Over
From sequential loops to event-driven architecture - learning why simple isn't always enough when building production AI agents
PII Extraction for RAG: Building Secure Document Pipelines
Learn how to build secure RAG pipelines with PII extraction and scrubbing. Protect sensitive information while improving retrieval quality using BAML for structured validation.
Grounding LLM with Real-time Data
How to ground LLMs with real-time data using web search tools and structured outputs. Compare different approaches including search APIs, native LLM tools, and MCP integration.
(Part 5) The S.A.F.E. Framework: Securing & Scaling MCP in the Enterprise
Introducing the S.A.F.E. Framework, a comprehensive 4-pillar model for securing Model Context Protocol (MCP) in enterprise environments, addressing threats from tool poisoning to runtime exploits.
Building Smarter Agents: The Power of Sub-Agents in HiCA
Orchestrate multiple specialized AI agents to handle complex, multi-step tasks with simple workflows with HICA.
(Part 4) Human-in-the-Loop AI with MCP Sampling
Learn how human-in-the-loop systems with MCP Sampling add critical safety, oversight, and control to AI workflows in enterprise environments.
(Part 3) Is Your AI Agent Using the Right Tools — or Just Guessing?
Why tool retrieval is important in your Agentic workflow and how to systematically improve it.
(Part 2) Why Control Matters in Production AI Agents
Move beyond agent frameworks to build production-ready AI systems. Learn why owning your prompts, context windows, and control flow is essential for reliable agents.
Production-Ready MCP Clients for LLMs
Build robust, scalable MCP integrations with structured validation, error handling, and debugging capabilities
(Part 1) Understanding MCP and Your First Integration with LLM
Step-by-step tutorial: Connect LLMs to SQLite using Model Context Protocol (MCP). Practical examples, code samples, and production tips included.
Stop Tweaking Prompts—Fix Your Retrieval and Win
A Comprehensive RAG Evaluation