What we are learning while deploying Claude, AI employees, and automation in real organisations.
Learn AI agent testing strategies that work for non-deterministic systems. Property-based testing, LLM-as-judge evaluation, golden datasets, regression testing, and adversarial testing techniques for production AI.
Transform opaque AI agents into observable systems with structured logging, distributed tracing, custom metrics, and conversation replay. Learn how to debug, monitor, and continuously improve production AI systems.
Reduce voice AI latency from 5+ seconds to sub-second responses. Streaming, caching, model routing, and infrastructure optimization techniques that actually work.
Master context window management to build AI agents that scale gracefully. Learn sliding windows, summarization, RAG, and other proven techniques for controlling LLM memory efficiently.
Google launches Gemini 2.0 Ultra with built-in function calling and tool execution, matching Claude's agent capabilities. The race for enterprise AI dominance just got a lot more interesting.
Proven strategies for cutting AI agent operational costs through intelligent model routing, prompt compression, caching, and monitoring. Real-world tactics from production systems.
Transform unpredictable LLMs into production-grade AI agents with systematic prompt engineering. Learn role definition, few-shot learning, output formatting, and more.
Anthropic's latest release expands Claude's context window to 500,000 tokens—enough to hold entire codebases in a single conversation. For businesses building AI agents, this isn't just an upgrade. It's a fundamental shift in what's possible.
Secure your enterprise AI agents against prompt injection, data leakage, privilege escalation, and other threats. Essential security practices for production deployment.
Build multi-agent AI systems using proven orchestration patterns: hierarchical, peer-to-peer, event-driven, and more. Turn agent chaos into coordinated workflows.
Master context window management for AI agents. Learn summarization, pruning, external memory, and optimization techniques to keep agents fast and cost-effective.
Battle-tested deployment strategies for production AI agents. Learn pre-deployment checklists, deployment patterns, infrastructure setup, and cost optimization.