Core AI Settings

Learn how to configure moderation, foundation model selection, and temperature for your AI character

Introduction

The Core AI Settings section defines the foundational behavior of your AI character by controlling safety filters, the underlying language model, and the creativity level of its responses. These settings have a significant impact on how your character interacts with users, balancing safety, accuracy, and creativity.

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Main Features

1. Enable Moderation Filter

• This setting allows you to filter out potentially harmful content, including hate speech, profanity, or inappropriate language. You can turn the moderation filter on or off using the toggle located at the top of the page. By default, this setting is enabled.

Disabling the Moderation Filter makes some foundation models unavailable.

Features like Narrative Design and Multilingual support will not work when moderation is disabled.

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2. Select Foundation Model

Choose from a variety of Large Language Models (LLMs) from leading providers:

• OpenAI

• Anthropic

• Google

• Llama

Model availability depends on whether the Moderation Filter is enabled.

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Supported LLMs

Below is a list of Large Language Models (LLMs) available in the Convai Playground under Core AI Settings. Models marked as ✅ Flagship are the providers’ top-tier, most capable models — but usage of these is subject to the Flagship Interaction Cap based on your plan.

Flagship LLMs This is the limit on the number of interactions you can perform using Flagship LLMs.

Example: In the Indie Dev plan, you have a total monthly quota of 3000 Interactions. However, the Flagship LLM Interaction Cap is 1500. If you use GPT-4.1 after 1500 interactions, your Flagship LLM quota will be exhausted. You will then need to switch to a non-Flagship LLM for the remaining 1500 interactions.

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OpenAI

Model	Flagship
GPT-4.1
GPT-4o
GPT-4.1-mini
GPT-4.1-nano
GPT-4o-mini

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Anthropic

Model	Flagship
Claude-Opus-4.1
Claude-Opus-4
Claude-4-Sonnet
Claude-3.7-Sonnet

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Google

Model	Flagship
Gemini-2.5-Flash
Gemini-2.5-Flash-Lite
Gemini-2.0-Flash
Gemma-3n-e4b
Gemma-3n-e2b

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Llama

Model	Flagship
Llama-4-Maverick
Llama-4-Scout
Llama-3.3-70B

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3. Temperature Control

• Function: Adjusts the randomness and creativity in the AI’s responses.

• Slider Range: 0.0 (most deterministic) to 1.0 (most creative).

Temperature Range	Behavior	Use Case
Low (0.0–0.3)	Deterministic, consistent	Factual Q&A, compliance-critical interactions
Medium (0.4–0.7)	Balanced accuracy and creativity	Conversational agents, customer support
High (0.8–1.0)	Diverse, creative, sometimes unpredictable	Storytelling, brainstorming, roleplay

Lower temperature sharpens the probability distribution for more predictable word choices.

Higher temperature flattens the distribution, allowing less likely words to appear more frequently.

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Conclusion

The Core AI Settings give you precise control over your character’s foundation model, safety filters, and response style. By adjusting these parameters, you can create an AI that balances safety, reliability, and creativity to suit your specific application.