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I build and harden AI-agent systems for founders and engineering teams.
My work turns fragile demos into auditable operations: trace capture, deterministic evaluations, safety gates, cost and reliability scorecards, and documented handoffs. I work in Python and TypeScript across agent harnesses, GitHub workflows, MCP and tool integrations, and business automation.
Best fit:
• Agent-ready repository audits
• LLM and agent evaluations
• Guardrails and human-approval workflows
• Reliability and cost diagnostics
• Production automation with clear runbooks
You receive evidence, prioritized fixes, and implementation-ready recommendations—not vague AI strategy. For a repository audit, send one public GitHub URL.
WrightOps AI is operated by Zachary Wright. Consequential decisions remain human-approved.
Reykjavík, Iceland
Fluent in English