Category: Artificial Intelligence and Machine Learning
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Prompt Design for AI: Persona, Temperature, and Tone
Over the past few months I’ve been building a Salesforce-based tool that aggregates CRM data, runs structured analysis, and sends that dataset to the OpenAI API for narrative generation. The goal is simple: turn operational Salesforce data into readable insights for executives, sales teams, and operations leaders. But the real lesson from building systems like…
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Designing Narrative Output Types with the OpenAI API
Note: This article specifically refers to the OpenAI API using the Responses API and Structured Outputs (JSON Schema). The examples here assume you are calling the OpenAI API directly from your application (such as Salesforce via Apex callouts). Let’s clear up a common misconception first: The OpenAI API does not expose a built-in switch like:…
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Getting Deeper: Processing OpenAI Responses API Payloads from Salesforce
This post details how to integrate Salesforce with the OpenAI Responses API, emphasizing the importance of processing structured outputs effectively. Key strategies include enforcing JSON schema responses, storing key points and sources separately, and ensuring traceability in persistent data. The goal is to create a robust, enterprise-ready AI system.
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Integrating OpenAI’s GPT-5.2 with Salesforce: From Prompt Design to Structured, Auditable AI Outputs
This post is a direct continuation of my earlier blog post on the art of designing an effective AI prompt. That first article focused on how to think about prompts—persona, intent, tone, and constraints. This one moves decisively into implementation. Here, you’ll see how those prompt-design principles translate into a production-grade Salesforce integration using the…