Cursor (the AI-powered code editor), and Context Engineering refers to the emerging discipline of managing an AI's knowledge base (context window) to get better results than simple prompt engineering.

📘 Definitions (Binding for Resolution)

• Context Engineering
  A discipline or methodology focused on designing, managing, and scaling AI context (e.g. memory, state, tools, policies, workflows) in organizational or workplace systems.
  This explicitly includes system-level AI orchestration practices and excludes simple prompt engineering alone.

• Curson :
  An AI-native workplace platform, company, or paradigm centered on agent-driven workflows, tool orchestration, or context-aware interaction.
  If Curson exists under a different brand name by 2035, it must be explicitly identified as a continuation or successor by reputable sources.

✅ Resolution Criteria

This market resolves YES if at least ONE of the following conditions is met by the resolution date:

1. Industry Ranking Evidence
   Context Engineering and/or Curson are listed among the top three workplace-shaping technologies or methodologies in at least two reputable, independent sources, such as:

   • Gartner

   • McKinsey

   • OECD

   • World Economic Forum

   • MIT Technology Review

   • Harvard Business Review

2. Adoption Threshold Evidence

   • Context Engineering and/or Curson are adopted or formally integrated by ≥30% of large enterprises (e.g. Fortune 1000 / EU large enterprises), and

   • Are cited as core drivers of workplace transformation (not merely supporting tools).

3. Consensus Recognition
   A clear consensus emerges in major “Future of Work” or “AI at Work” reports that Context Engineering and/or Curson rank among the top three most impactful drivers of workplace structure, productivity, or knowledge work.