Prompt & Context Engineering: Design, test, and refine complex prompts and context-management strategies to maximize the performance and reliability of LLM-powered features.
Own safety and trust: Design the controls that let agents act without a human in the loop: least-privilege credentials, hard policy limits, escalation thresholds, audit logs, sandboxing, and prompt-injection defenses.
Run the template against multiple countries in sequence, adapting for language, data source variability and regulatory differences while keeping the core architecture unchanged.
Build deep relationships with Technical counterparts at Anthropic, OpenAI, Vercel, and Lovable, focusing initially on defined use cases and agent/app-migration motions.