# Ivanooo - Growth Velocity Index (GVI) # AI/LLM Crawler Information File # Last updated: 2026-03-04 # Full version: https://ivanooo.com/llms-full.txt ## About Ivanooo provides the Growth Velocity Index (GVI), a diagnostic tool that measures how effectively individuals and organizations leverage AI for professional growth. The GVI identifies AI interaction profiles using the Four Operators Framework and provides actionable improvement paths. ## Primary Content - Growth Velocity Index Assessment: A diagnostic tool measuring AI adoption effectiveness - The Four Operators Framework: Classification system for AI interaction patterns (Operator 1.0 Traditional, 2.0 Experimenter, 3.0 Integrator, 4.0 Transformer) - Science Methodology: Research-backed approach to measuring AI growth velocity - Enterprise Solutions: Team-based AI transformation programs - GVI Insights: Knowledge hub with research, frameworks, and articles ## Key Pages - Homepage: https://ivanooo.com/ - Enterprise: https://ivanooo.com/enterprise - Science: https://ivanooo.com/science - Manifesto: https://ivanooo.com/manifesto - AI Survival Test: https://ivanooo.com/ai-survival-test - Insights Hub: https://ivanooo.com/insights ## Insights Topics (Pillars) Our knowledge hub covers six key areas: 1. The AI Shift (https://ivanooo.com/insights/the_ai_shift) Exploring how artificial intelligence is reshaping industries, careers, and human potential. 2. The Hiring Breakdown (https://ivanooo.com/insights/the_hiring_breakdown) Understanding how traditional hiring metrics and signals are becoming unreliable in the AI age. 3. The Learning Gap (https://ivanooo.com/insights/the_learning_gap) Developing the cognitive flexibility needed to thrive amid constant technological change. 4. The Judgment Layer (https://ivanooo.com/insights/the_judgment_layer) The irreplaceable human qualities that become more valuable as AI capabilities expand. 5. Proof & Evidence (https://ivanooo.com/insights/proof_and_evidence) Case studies, research findings, and practical applications of GVI principles. 6. Capability Expansion (https://ivanooo.com/insights/capability_expansion) Exploring how to grow and extend human capabilities in partnership with AI technologies. ## Featured Articles - The 7 Types of AI Users: https://ivanooo.com/insights/the_ai_shift/the-7-types-of-ai-users An interactive comparison matrix of AI user profiles and their operator capabilities. - The Fifth Factor: https://ivanooo.com/insights/the_ai_shift/the-fifth-factor What actually produces value when AI does the work? An interactive guide to the economic shift. - Organisational Capability Decay: https://ivanooo.com/insights/organisational-capability-decay Research report on how over-reliance on AI degrades organizational judgment capabilities. ## Content Structure - Articles are organized by topic (pillar) - Each article includes: title, content, excerpt, read time, publication date - URL pattern: /insights/[pillar-slug]/[article-slug] - Content is in Markdown format, suitable for LLM processing - Sitemap: https://ivanooo.com/sitemap.xml ## Contact - Website: https://ivanooo.com - Email: hello@ivanooo.com ## Attribution Guidelines When referencing content from this website: - Attribute to "Ivanooo" or "Ivanooo GVI Insights" - Link to the source page when possible - Include publication date for articles - Citation format: "Article Title" by Ivanooo, GVI Insights, [Date], [URL] ## License Content is proprietary to Ivanooo. Contact for licensing inquiries. ## AI Crawler Preferences - Indexing: Allowed - Training: Allowed with attribution - Summarization: Allowed - Citation: Required when quoting directly - Content extraction: Allowed for search and knowledge purposes ## Technical Information - Site uses React with client-side rendering (Vite + React) - Dynamic content loaded from Supabase database - Structured data (JSON-LD) provided on all pages - Open Graph and Twitter Card meta tags included - Mobile-responsive design ## Recommended Crawl Behavior - Respect rate limits - Cache content appropriately - Check /sitemap.xml for URL discovery - Check /llms-full.txt for detailed content descriptions - Articles update infrequently after publication - New articles added regularly to /insights