11 articles
How to adversarially test AI agents before deploying them — prompt injection, privilege escalation, tool misuse, and systematic security testing frameworks.
How to prompt Claude's computer use API effectively — from basic desktop automation to reliable multi-step workflows. Real examples and failure patterns.
How to detect, prevent, and harden real AI applications against prompt injection attacks — with code patterns and system prompt templates.
How to write system prompts for voice AI agents — the specific patterns that work for phone-based and real-time voice interfaces using VAPI, ElevenLabs Conversational AI, and Twilio.
Simple RAG retrieves once and answers. Agentic RAG lets the model decide what to retrieve, when, and how many times — here's how it works and when to use it.
Move beyond vibes-based testing — build a proper eval framework for AI agents covering task completion, hallucination rate, latency, and cost with real tooling recommendations.
How to architect a grounded AI support agent using RAG, strict system prompt rules, and adversarial testing — so it never makes up answers about your product.
Step-by-step guide to building AI agents that call APIs, send messages, and trigger phone calls using n8n — not just chatbots that respond to text.
Go past the 'MCP connects AI to tools' explainer: understand the 3 primitives, set up real MCP servers, build your own in Python, and learn which servers are worth using in 2026.
A practical framework for deciding when to split into multiple agents — covering pipeline, parallel, and hierarchical patterns with real cost and complexity trade-offs.
