Own agent-platform partnerships end-to-end: source and close integrations, build the production demo/integration (MCP/APIs), set pricing/monetization, and ship verified-commerce capabilities into major AI ecosystems. Success measured by live integrations, first MCP/API revenue, and reusable pricing/packaging playbooks.

Own and evolve a production fleet of long-running AI agent automations: design runtimes, liveness checks, verification systems, token economics, model-routing, and a shared knowledge base. Build deterministic alarms, oracle-separated checkers, regression corpora, and CI/monitoring that prevent silent failures. Work directly with the founder, ship verification-first features, and replace ad-hoc review with scalable verification and escalation paths.

Lead verification architecture for LLM-driven agent loops: design oracle-separated verifiers, build regression corpora and eval harnesses, own throughput and truth-quality gates, set model-routing rules, and author corpora and specs that guarantee adversarially verified claims at scale.