OpenAI rolls out an update to let users adjust ChatGPT's characteristics, including how warm or enthusiastic it is, and its use of headers, lists, and emojis
OpenAI is making it easier to edit emails with ChatGPT, too. … OpenAI will now give you the ability to dial up — or down — ChatGPT's warmth and enthusiasm.
Context & Ripple Effects
This extends OpenAI’s long-running effort to make ChatGPT behavior configurable rather than wholly determined by a single default, following its earlier commitment to more user customization of ChatGPT’s behavior.
The emphasis has shifted from model-level response quality—such as more direct, conversational GPT-4 Turbo replies—to controls that let people tune the presentation of everyday output. Easier email editing makes those controls immediately relevant to work communication.
First-order effects
- ChatGPT users can adjust tone and output conventions—warmth, enthusiasm, headers, lists, and emojis—without repeatedly specifying those preferences in prompts.
- OpenAI makes ChatGPT more practical for email revision by reducing the friction between a draft’s desired voice and the model’s default style.
Second-order effects
- Users and teams may develop more consistent AI-assisted communication styles, while needing to decide which tone and formatting choices fit their own audiences.
- The change raises the competitive baseline for general-purpose assistants: response quality increasingly includes controllable delivery, not only factual or creative capability.
Third-order effects
- If such controls become persistent across modalities and tasks, chatbot products could evolve from one-size-fits-all interfaces into configurable work surfaces shaped by individual and organizational norms.
- More human-like and adjustable interaction also keeps product design tied to ChatGPT’s increasingly conversational voice behavior, increasing the importance of clear defaults and user control as assistants become more embedded in communication.
The trend: AI assistants are moving from generic answer engines toward configurable interfaces that adapt both output style and workflow context.