Which method is right for you?
Compare all four GPT customization methods across key dimensions. Each solves a distinct problem. Many projects combine two or more.
Custom GPT
No-codeBest for non-technical teams who need a focused, persona-driven assistant without writing any code.
When you want to constrain behavior and personality in ChatGPT.
RAG
Low-codeInject your own documents as live context. The model cites your content instead of hallucinating.
When you have proprietary knowledge that must be answered accurately.
Tools & Actions
Code requiredGive the model real-time access to APIs, databases, and computations via function calling.
When answers require fresh data (weather, prices, inventory).
Fine-Tuning
AdvancedBake a style or domain into the model weights via training examples. Fastest inference, lowest token use.
When you need consistent tone at scale with thousands of requests/day.
Criteria breakdown by method
Custom GPT
No-codeRAG
Low-codeTools & Actions
Code requiredFine-Tuning
AdvancedReady to implement one of these methods?