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Building AI SaaS Products with OpenAI API

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A practical guide to designing, building, pricing, securing, and operating AI SaaS products that use OpenAI-style APIs and production-grade software practices.

Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0

Technology Programming Books Web Development Books Backend Development Full-Stack Development AI and Machine Learning AI GAUAB Academy Ai Machine Learning Full Stack Development SaaS OpenAI Backend Development API Building Products

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Book contents

01Chapter 1: What Makes an AI SaaS Product Different 02Chapter 2: OpenAI API Concepts, Models, Tokens, and Costs 03Chapter 3: Product Discovery, Use Cases, and MVP Scope 04Chapter 4: Multi-Tenant Architecture for AI Products 05Chapter 5: Prompt Design, Prompt Templates, and Versioning 06Chapter 6: Structured Outputs, Validation, and Guardrails 07Chapter 7: Embeddings, Semantic Search, and RAG 08Chapter 8: Streaming Responses and Responsive User Experience 09Chapter 9: API Design, Rate Limits, Queues, and Retries 10Chapter 10: Usage Tracking, Billing Events, and Plan Limits 11Chapter 11: Security, Privacy, and Data Retention 12Chapter 12: Evaluation, Monitoring, and Quality Control 13Chapter 13: Pricing, Margins, Credits, and Cost Control 14Chapter 14: Launch Planning, Onboarding, and Feedback Loops 15Chapter 15: Capstone: Build an AI Support Assistant SaaS 16Chapter 16: Capstone: Prepare the Product for Production 17Appendix E: Deeper Practice and Extra Examples

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