
Azure OpenAI vs OpenAI: the enterprise decision
Migrated to Azure OpenAI for compliance, then back to OpenAI for innovation speed. Azure is insurance, not improvement. Here is how to choose.

Migrated to Azure OpenAI for compliance, then back to OpenAI for innovation speed. Azure is insurance, not improvement. Here is how to choose.

Built dozens of custom GPTs and learned they excel as templates but fail as complex tools. This is the actual strategy that works - where they help, what they cannot do, and how to avoid the maintenance trap most teams fall into.

Most teams waste thousands on OpenAI API calls without realizing it. Token management, smart caching, and model selection reduce costs significantly while maintaining quality. Learn the patterns that work.

OpenAI Assistants API packs stateful conversations, code execution, and document search into one package. Built production systems with it and found the complexity rarely justifies the cost. With deprecation coming August 2026, here is when it is worth using and when simpler alternatives win for chatbots and automation.

Few-shot prompting handles most use cases better than fine-tuning. The return on investment calculation works in fewer scenarios than vendors admit. Learn when fine-tuning actually delivers value.

ChatGPT Enterprise promises transformation but delivers complexity. From Custom GPT maintenance nightmares to quality variance, here is the implementation reality after watching companies deploy, struggle, and sometimes abandon the platform.