Engineering deep-dives, product thinking, and lessons from building precision infrastructure.
Most agent frameworks optimize for maximum throughput. We think that's the wrong metric. Here's why we built Lusentinel around deterministic scheduling — and why it makes your strategies more reliable.
Chain resolution, context propagation, fallback trees — under the hood, orchestrating 128 concurrent agents requires solving a lot of subtle coordination problems. We open the engine.
When an agent makes a decision with real consequences, you need to know exactly why. We walk through how we designed the execution trace system from first principles.
After 14 months of building, testing, and refining — we're shipping Lusentinel 1.0. Here's what's in it, why we built it, and where we're taking it next.