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[...] ion rate improvements - Cost per acquisition changes - Customer satisfaction scores **Tools:** - **[Mixpanel](https://mixpanel.com/)** - Product and marketing analytics - **[Amplitude](https://amplitude.com/)** - Digital analytics platform ## 14. **Prompt Engineering** **Expert Techniques (from [OpenAI's Best Practices](https://platform.openai.com/docs/guides/prompt-engineering)):** - Be specific and detailed in instructions - Provide examples (few-shot learning) - Break complex tasks into simpler subtasks - Give the AI time to "think" through problems - Test and iterate on prompts - Use system p [...]

October 24, 2025

[...] s://oag.ca.gov/privacy/ccpa](https://oag.ca.gov/privacy/ccpa) - PII redaction and data loss prevention for prompts and logs: Microsoft Presidio [https://microsoft.github.io/presidio/](https://microsoft.github.io/presidio/) 3) Choose the right AI building blocks for the job - General LLM providers: OpenAI [https://openai.com](https://openai.com), Anthropic [https://www.anthropic.com](https://www.anthropic.com), Google AI (Gemini) [https://ai.google.dev](https://ai.google.dev), Azure OpenAI Service [https://learn.microsoft.com/en-us/azure/ai-services/openai/](https://learn.microsoft.com/en-us/azure/a [...]

October 24, 2025

[...] rivacy/ccpa](https://oag.ca.gov/privacy/ccpa) - PII redaction and data loss prevention for prompts and logs: Microsoft Presidio [https://microsoft.github.io/presidio/](https://microsoft.github.io/presidio/) 3) Choose the right AI building blocks for the job - General LLM providers: OpenAI [https://openai.com](https://openai.com), Anthropic [https://www.anthropic.com](https://www.anthropic.com), Google AI (Gemini) [https://ai.google.dev](https://ai.google.dev), Azure OpenAI Service [https://learn.microsoft.com/en-us/azure/ai-services/openai/](https://learn.microsoft.com/en-us/azure/ai-services/opena [...]

October 24, 2025

[...] s://microsoft.github.io/presidio/) 3) Choose the right AI building blocks for the job - General LLM providers: OpenAI [https://openai.com](https://openai.com), Anthropic [https://www.anthropic.com](https://www.anthropic.com), Google AI (Gemini) [https://ai.google.dev](https://ai.google.dev), Azure OpenAI Service [https://learn.microsoft.com/en-us/azure/ai-services/openai/](https://learn.microsoft.com/en-us/azure/ai-services/openai/), Amazon Bedrock [https://aws.amazon.com/bedrock/](https://aws.amazon.com/bedrock/) - Retrieval-Augmented Generation (RAG) to keep content accurate and on-brand by groun [...]

October 24, 2025

[...] blocks for the job - General LLM providers: OpenAI [https://openai.com](https://openai.com), Anthropic [https://www.anthropic.com](https://www.anthropic.com), Google AI (Gemini) [https://ai.google.dev](https://ai.google.dev), Azure OpenAI Service [https://learn.microsoft.com/en-us/azure/ai-services/openai/](https://learn.microsoft.com/en-us/azure/ai-services/openai/), Amazon Bedrock [https://aws.amazon.com/bedrock/](https://aws.amazon.com/bedrock/) - Retrieval-Augmented Generation (RAG) to keep content accurate and on-brand by grounding in your own content: What is RAG (IBM) [https://www.ibm.com/thi [...]

October 24, 2025

[...] https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) - Fine-tuning vs. prompting: start with prompting + RAG; only fine‑tune where you need style adaptation or domain patterns not solved by grounding. OpenAI fine‑tuning guide [https://platform.openai.com/docs/guides/fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) - Image/video/audio generation when appropriate: Adobe Firefly [https://www.adobe.com/sensei/generative-ai/firefly.html](https://www.adobe.com/sensei/generative-ai/firefly.ht [...]

October 24, 2025