AI Product

Partial Autonomy Applications

📶 The Autonomy Slider

Andrej Karpathy created the autonomy slider. It classifies AI products by their level of autonomy.

A slider showing the range of AI product autonomy, from AI-enhanced to AI-first.
  • AI-Enhanced Products: Add LLM features to an existing product. The core workflow stays the same. Examples: Miro, Jira, Slack, Google Docs.

  • AI-First Products: Design the UX around the LLM or agent. Examples: ChatGPT, Claude, Devin.

Diagram comparing AI-enhanced and AI-first product concepts.

✨ AI as the Engine

AI can act as an engine, adding LLM power to an existing product. Here, AI is a key component, not the whole product.

Simon Wardan's YOW! 2025 talk explores this idea. View slides.

Visual representation of AI as the engine of a product.

👥 AI as an Assistant

This pattern deeply integrates LLM features into a traditional UI. It creates tight interaction between the UI and the LLM.

Examples include code assistants that are tightly integrated into the development environment.

Lex.page, an example of AI as an assistant in a word processor.
Cursor, an example of AI as an assistant in an IDE.

🤖 AI as an Agent

In this model, the UI is built around the agent. See this Manus replay for an example:

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