Engineering essays from the bench.
War stories, architecture decisions, and the occasional tirade. Written by the engineers who shipped it.
Securing AI Agents in Production: Threats, Guardrails, and Enterprise Best Practices
A practical guide to securing AI agents in production environments. Covers prompt injection defense, privilege management, data exposure prevention, agent-to-agent security, and monitoring strategies.
Model Context Protocol (MCP): Building AI Integrations That Scale
A hands-on guide to the Model Context Protocol. Learn how to build MCP servers and clients, connect AI agents to enterprise tools, and deploy MCP in production with security and observability.
Introducing Zenith AI: Submission Intelligence That Filters the Noise
We built Zenith AI to solve a problem every team with a contact form knows too well. Up to 80% of submissions are spam. Zenith uses AI to detect spam, score leads, and generate smart replies so you can focus on real opportunities.
RAG Architecture: Building Retrieval-Augmented Generation Systems
A comprehensive guide to building production-ready RAG pipelines, covering chunking strategies, embedding models, vector stores, reranking, and evaluation metrics.
Building AI Agents: From Simple Chatbots to Autonomous Systems
Learn how to build AI agents with tool use, multi-agent orchestration, memory management, and guardrails for safe production deployment.
Generative AI Strategy for the Enterprise: Beyond the Hype
A practical framework for enterprise GenAI adoption covering use case prioritization, build vs buy decisions, cost modeling, governance, and ROI measurement.
MLOps: Bridging the Gap Between ML Models and Production
Learn how MLOps practices help organizations move machine learning models from experimentation to reliable production systems with CI/CD, monitoring, and automation.
The Modern Data Engineering Stack: From Ingestion to Analytics
Explore the modern data engineering stack including ELT pipelines, dbt, data lakehouses, orchestration with Dagster and Airflow, and real-time streaming architectures.
Building Production AI Pipelines with Python
A practical guide to designing, building, and deploying AI/ML pipelines that scale - from data ingestion to model serving with MLOps best practices.
How NLP and Transformers Are Transforming Business Operations
Explore practical business applications of NLP and transformer models, from document processing and sentiment analysis to knowledge extraction and automation.
