How to Create a Custom AI Model on LoopGpt
Step-by-step guide for creating custom AI model experiences with endpoint mappings, prompts, and response formatting.
Published Mar 7, 2026
• By LoopGpt Team
Start with a clear use case
Before creating a custom model, define audience, task scope, and output style. This improves consistency and lowers prompt churn.
Configure your model behavior
Set system instructions, preferred response format, and category mapping so users understand when to use your model.
Link to endpoints safely
LoopGpt acts as middleware, so your endpoint URL stays hidden from end users while requests remain managed through the platform.
Read the feature page: http://localhost/loopgpt2/features/custom-model-builder