Red-Teaming AI — OWASP LLM Top 10 and the Probes You Actually Need

5. Red-Teaming AI: OWASP LLM Top 10 and the Probes You Actually Need

TL;DR We had heard of the OWASP LLM Top 10, and we had implemented fewer than half of it. We had PyRIT installed, and we had almost…

Securing Agentic AI Authentication, Authorization, and PII

4. Securing Agentic AI: Authentication, Authorization, and PII

TL;DR Our five-agent banking AI platform had OPA wired into exactly one agent. The MCP server had no auth middleware. All five agents shared one API key….

The 57-Gap Audit — Gap Categories and Discovery Method

3. The 57-Gap Audit — What “Done” Actually Means in Production AI

TL;DR After weeks of building a multi-agent AI platform — five agents, full pipeline, red-team harness, control UI — the system looked done. It wasn’t. A config…

The Engineering Platform: Orchestration, Monorepo, and the Stack Decisions

2. The Engineering Platform: Orchestration, Monorepo, and the Stack Decisions

TL;DR Once you decide to build a multi-agent AI system, you face three engineering choices that will determine whether the platform is governable or just functional: what…

From Scripts to Sentience: Building an Agentic Data Platform

1. From Scripts to Sentience: Building an Agentic Data Platform

Series: Building an Agentic Data Platform  |  Part 1 of 17Reading time: ⏳ ~12 minutes 📌 TL;DR Most data engineering tutorials teach you to move data from…

The Developer’s Crucible: Debugging, Patience, and the AI Partnership

3. The Developer’s Crucible: Debugging, Patience, and the AI Partnership

TL;DR This article reveals the unglamorous but critical reality of software development: debugging. We recount the real-world challenges faced, from frustrating environment setup errors to a cryptic…

Deploy Anywhere: A Guide to Cloud-Agnostic, Serverless APIs

2. Deploy Anywhere: A Guide to Cloud-Agnostic, Serverless APIs

TL;DR This article covers the deployment of our API, focusing on achieving true cloud-agnosticism and infinite scalability. We detail our use of the Serverless Framework to define…

From Idea to Architecture: Building a Scalable API with an AI Co-pilot

1. From Idea to Architecture: Building a Scalable API with an AI Co-pilot

TL;DR This article details the foundational stage of building a modern API, moving from a simple idea to a robust microservices architecture. We explore the critical architectural…

Autonomous AI agent copilot dashboard built with Streamlit using microservices architecture, OAuth 2.0 security and cloud deployment.

Building Autonomous AI Agents – Part 4: The Human Interface—Building a Co-Pilot Dashboard with Streamlit

The Enterprise Leap—Microservices, OAuth 2.0 Security, and Cloud Deployment ⏱️ TL;DR The Problem: Our LangGraph AI agent works perfectly on a local laptop, but monolithic scripts do…

Building autonomous AI agents with WordPress API integration and secure media uploads

Building Autonomous AI Agents – Part 3: Tool Integration—WordPress, Images, and Handling API Quirks

Connecting the Brain to the World—Integrating Vertex AI and WordPress APIs ⏱️ TL;DR The Goal: Connect our abstract LangGraph “brain” to external APIs so it can generate…