How to: Artificial Intelligence
Practical guides for using AI tools to solve real business problems. Browse by department to find solutions tailored to your role and challenges.
Industry Case Studies
Real examples of companies successfully using AI to solve business problems. Learn from practical implementations across various industries.
Explore Case StudiesDive deep into our comprehensive meta-analysis of 67 real-world AI implementations. Discover patterns, benchmarks, and actionable insights from companies across industries—from fraud prevention saving billions to healthcare innovations reducing mortality rates. Uncover what actually works in enterprise AI.
Read Reruption 2025 AI StudyBlog
The New Speed: How AI Projects Go Live in Weeks Instead of Months
Anyone who needs 6 months for an AI project today has already lost — not because of the competition, but because of the learning curve. In the last 18 months, I've built more working products than in the 10 years before.
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Co-Preneurship in the AI Era: Co-Founders on Demand Instead of Consultants
Co-preneurship means: we act as co-founders on demand — with speed, ownership and early prototypes. Learn how Reruption delivers AI projects faster and with better risk awareness.
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AI Architecture for Longevity: Start Fast, Stay Maintainable
Get productive quickly with AI while building systems that remain maintainable over the long term: We outline architecture principles, deployment paths and practical examples so AI products work today and stay scalable tomorrow.
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Building AI Copilots That Are Highly Reliable
How do you create copilots that act like dependable domain experts rather than creative chatbots? We present a technical and methodological framework with concrete patterns.
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Enterprise AI Security 2025: Guide to Audit-Proof AI Systems
Practical guide to secure, audit-proof AI systems in enterprises: Tenant Isolation, data classification, audit trails, model versioning, and our architecture with Hetzner, Coolify, Postgres and an internal AI proxy.
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Hetzner-native LLM Cluster: Secure, high-performance and cost-efficient self-host infrastructure
How companies can build their own LLM clusters on Hetzner: step-by-step architecture, SaaS vs. self-host cost comparison, deployment with Coolify and best practices for security and auditability.
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