General AI
AI Wrapper
Definition
A product built on top of an existing foundation model through API calls, adding value at the application layer rather than training its own model.In-Depth Explanation
An AI wrapper calls a model like GPT or Claude and adds interface design, prompt engineering, domain data, or workflow orchestration around it. Critics use "thin wrapper" dismissively for products that add little beyond an API call, while "thick wrappers" build durable moats through deep integrations and proprietary data. Intelloro classifies items by AI origin: AI-native (the product is fundamentally built around AI), AI-enhanced (a pre-existing product with AI features added), and wrapper (a light layer over a third-party model). The distinction signals how defensible and AI-central a tool really is.
Real-World Example
A legal-drafting app that sends prompts to GPT and layers on curated case-law data is a "thick" AI wrapper.
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