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Notes from the NEXUS engineering team
Deep dives into adaptive routing, quality gates, agent architecture, and everything else that goes into running an AI operating system in production.
Inside NEXUS CORTEX: Adaptive Multi-Agent Routing
How NEXUS OS uses a UCB1 multi-armed bandit to route every task to the cheapest model tier that can do the job — and why that one change cut API spend by 74% across our pilot fleet.
How NEXUS's MergeGate Catches Bugs Before They Ship
A walkthrough of the 5-axis composite quality score — tests, security, efficiency, self-correction, and constitutional safety — and the AutoFix loop that resolves failing deliveries automatically.
Building a Production App with NEXUS Forge
From a one-paragraph spec to a merged, MergeGate-passing pull request: follow along as NEXUS Forge decomposes a feature into typed tasks and dispatches them to specialized agents.
EWMA Agent Reputation: Why Some Agents Get More Work
NEXUS continuously tracks an exponentially-weighted moving average of every agent's quality score. We break down the math and show how reputation feeds back into CORTEX routing decisions.
Constitutional Safety in Autonomous Coding Agents
Autonomy without guardrails is a liability. Here's how NEXUS OS encodes constitutional safety checks directly into the MergeGate scoring formula — and what happens when an agent fails one.
APEX Compression: 40-70% Token Savings Without Losing Context
A look at the APEX context-compression layer that sits between your prompts and the model — and the Budget Governor that enforces hard and soft token ceilings per project.
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