zachdotai

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  1. We built Nyx to solve a problem we kept hitting while building agents: AI agents break in ways traditional software doesn't. Logic bugs, reasoning failures, edge cases that manual testing and static benchmarks never…

  2. We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in…

  3. We build runtime security for AI agents. The playground started as an internal tool that we used to test our own guardrails. But we kept finding the same types of vulnerabilities because we think about attacks a certain…

  4. Each week we deploy a live AI agent with real tools (web search, browsing, more), a persona, and something it's been told to protect. The system prompt is fully visible. Your job is to break through the guardrails…

  5. We built a Git-native CLI tool that automates Git branch stacking. Here's why stacking matters and how GX helps: Code review is a notorious bottleneck. You write a large PR, wait for review, get feedback, iterate, and…