Who Evaluates the Evaluator? Testing AI Simulators in ProductionIn my last post, I wrote about using simulators to evaluate multi-turn AI agents. It is a powerful technique, but things can get confusing fast if we do not clearly define the testing architecture. In3 min read·mundher.com1BOct 18
Why Dynamic Reasoning Beats Static GraphsStandard vector RAG is great for finding needles, but it’s terrible at describing the haystack. It relies entirely on semantic proximity. That means it often fails at multi-hop reasoning or answering3 min read·mundher.comAug 15
How to Build Privacy into LLM Agents Without Breaking Their BrainsI've been spending a lot of time lately building autonomous agents with ReAct and RAG frameworks. The shift from stateless chatbots to stateful systems that can actually execute tools is incredibly us3 min read·mundher.comJul 19
Stacking Agent Memory: Checkpoints, Status Boards, and Active ContextI love the idea of autonomous coding agents. But one of the quickest ways to hit a wall when setting them up is the infinite context problem. Your context window is finite, but the work you want the a3 min read·mundher.comJul 4
Smart LLM RoutingBuilding LLM apps is easy, but scaling them without setting a pile of money on fire is hard. You really don't need the massive brainpower of GPT-5 for every single user query. Routing is how we fix th4 min read·mundher.comJun 26
