• Review and refine AI generated responses related to surgical decision making and perioperative care • Evaluate outputs for clinical accuracy, procedural realism and patient safety considerations • Draft realistic surgical scenarios such as pre operative risk assessment, intraoperative decision points, complication management or post operative care planning • Create variations of the same case from different perspectives such as surgeon, anaesthetist, surgical resident, hospital administrator or patient • Identify unsafe recommendations, flawed clinical logic or unrealistic procedural assumptions

• Review and refine AI-generated outputs on a variety of commercial real estate topics • Evaluate responses for technical accuracy, industry best practices, and compliance with relevant standards • Draft realistic commercial real estate scenarios, such as deal structuring, market analysis, property management, asset valuation, risk assessment, and compliance • Create variations of the same scenario from different roles, such as broker, analyst, investor, property manager, or compliance officer • Identify gaps, misinterpretations, or oversimplified reasoning in AI-generated content related to commercial real estate • Assess and improve AI reasoning around structured problem solving, real-world edge cases, and application of commercial real estate principles

• Review and refine AI-generated responses related to financial regulation, risk assessment, compliance, and market conduct • Assess content for legal accuracy, coherence, and alignment with current financial regulations (e.g., MiFID II, AML, FCA guidelines) • Draft realistic scenarios involving regulatory investigations, licensing, compliance programs, enforcement actions, and supervisory frameworks • Create scenario variations reflecting multiple viewpoints: legal counsel, compliance officer, regulator, market participant, or advisory professional • Identify areas for improvement in AI legal reasoning and risk analyses • Support the development of AI tools designed for practical application by finance sector organizations

• Review and refine AI generated responses related to insurance products, underwriting and risk assessment • Evaluate outputs for technical accuracy, regulatory alignment and commercial realism • Draft complex insurance scenarios such as underwriting decisions, claims handling disputes, policy wording interpretation, reinsurance structuring or solvency considerations • Create variations of the same scenario from different perspectives such as underwriter, broker, claims manager, actuary or regulator • Identify weaknesses in risk logic, pricing assumptions, coverage interpretation or compliance reasoning