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AI SaaS with OpenAI
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A practical AI SaaS playbook covering product design, OpenAI API integration, RAG, agents, billing, security, monitoring, and real-world launch concerns.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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Book contents
01Chapter 1: Introduction to AI SaaS02Chapter 2: Understanding the OpenAI Ecosystem03Chapter 3: SaaS Architecture for AI Products04Chapter 4: Prompt Engineering Fundamentals05Chapter 5: Advanced Prompt Design Patterns06Chapter 6: Embeddings and Vector Databases07Chapter 7: Retrieval-Augmented Generation (RAG)08Chapter 8: Backend Development for AI SaaS09Chapter 9: Managing Costs and Token Optimization10Chapter 10: Security and Compliance11Chapter 11: Designing AI User Experiences12Chapter 12: Building Frontends13Chapter 13: Building AI Agents14Chapter 14: Fine-Tuning and Customization15Chapter 15: Multimodal AI Applications16Chapter 16: Performance Optimization17Chapter 17: Observability and Monitoring18Chapter 18: Scaling Infrastructure19Chapter 19: Pricing AI SaaS Products20Chapter 20: Go-to-Market Strategy21Chapter 21: SaaS Metrics for AI Products22Chapter 22: AI Safety and Ethics23Chapter 23: Building AI Workflows and Automation24Chapter 24: Integrating External APIs and Tools25Chapter 25: Project 1 - AI Content Generator SaaS26Chapter 26: Project 2 - AI Customer Support Chatbot27Chapter 27: Project 3 - AI Code Assistant28Chapter 28: Trends in AI SaaS29Chapter 29: Building Your Own AI Startup30Chapter 30: Final Thoughts and Resources31Appendix E: Deeper Practice and Extra Examples
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