Storyteller AI
This article is about storyteller AIs, not the image generators or other utility AI.
IW does not actually host the AI models. The world information, memory, player input and another related information gets parceled up and sent to the AI provider, in a new session with the provider. Therefore, each AI does not have memory unique to its self.
All memory interactions are handled by Lion, and how this works is explained elsewhere.
OpenRouter link https://openrouter.ai/apps?url=https%3A%2F%2Finfiniteworlds.app%2F
Active Models[edit]
AI Breakdown[edit]
The following section provides a very short description of each AI model, and what it's general strengths and weakness are. Keep in mind that this is a 'General guide', and as such, does not go into big details about all the problems and benefits of each one.
Each world may or may not have its own controls and modifications to adjust the behaviour of the AI.
It's important to keep in mind that it will be easier to slightly adjust the behaviour of a given model, rather than attempting to reign in a model to a specific behaviour that it's just not good at. Additionally, because the AI models are essentially 'magic text boxes' the information listed here is more 'knowledge from experience' rather than 'empirical fact'
Active Models[edit]
At a Glance Information[edit]
- Everything is on a five-point scale, 1 being the lowest and 5 being the highest.
- Only active models will have an At a Glance section.
- For any future editors, feel free to add any types of ratings that make sense!
Here are the rating types and scales:
- Adherence to Instructions
- How well the AI model adheres to provided instructions. 1 means that it takes the instructions as a suggestion at best; 5 means that it very nearly follows them to the letter.
- Cost
- How expensive the model is. 1 means that it's as cheap as it comes (30-60 credits per turn, barring complex instructions); 5 means that it's very pricey (150+ credits per turn, barring complex instructions).
- Inventiveness
- How often the model adds new elements to the story. 1 means that it basically-perfectly adheres to the scenario at-hand; 5 means that it goes off and does its own thing as often as it doesn't.
- Storytelling Pace
- How quickly the AI model advances the story. 1 means that it's kind of pokey and doesn't advance the story very quickly; 5 means that it's a storytelling cheetah.
- Turn Length
- How much text is output on each turn. 1 means that it's short and brief; 5 means that it's long, even indulgent.
Grimalkin[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 3/5 |
| Cost | 2/5 |
| Inventiveness | 2/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Leopard[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 4/5 |
| Cost | 4/5 |
| Inventiveness | 4/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 4/5 |
| Pros | Cons |
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| Notes | |
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Leopard-2[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | X/5 |
| Cost | X/5 |
| Inventiveness | X/5 |
| Storytelling Pace | X/5 |
| Turn Length | X/5 |
| Pros | Cons |
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| Notes | |
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Lion[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 3/5 |
| Cost | 3/5 |
| Inventiveness | 3/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Lion-Thinking[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 4/5 |
| Cost | 4/5 |
| Inventiveness | 3/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Lynx[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 2/5 |
| Cost | 1/5 |
| Inventiveness | 2/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Massivecat[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | X/5 |
| Cost | 6/5 |
| Inventiveness | X/5 |
| Storytelling Pace | X/5 |
| Turn Length | X/5 |
| Pros | Cons |
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| Notes | |
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Massivecat-Thinking[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | X/5 |
| Cost | X/5 |
| Inventiveness | X/5 |
| Storytelling Pace | X/5 |
| Turn Length | X/5 |
| Pros | Cons |
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| Notes | |
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Ocelot-new[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 3/5 |
| Cost | 2/5 |
| Inventiveness | 3/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Panther[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | X/5 |
| Cost | X/5 |
| Inventiveness | X/5 |
| Storytelling Pace | X/5 |
| Turn Length | X/5 |
| Pros | Cons |
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| Notes | |
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Smilodon[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 4/5 |
| Cost | 3/5 |
| Inventiveness | 1/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 5/5 |
| Pros | Cons |
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| Notes | |
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Smilodon-Thinking[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 5/5 |
| Cost | 4/5 |
| Inventiveness | 1/5 |
| Storytelling Pace | 3/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Tomcat[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 4/5 |
| Cost | 1/5 |
| Inventiveness | 2/5 |
| Storytelling Pace | 1/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Wampus[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 3/5 |
| Cost | 2/5 |
| Inventiveness | 4/5 |
| Storytelling Pace | 5/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Wildcat[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 4/5 |
| Cost | 1/5 |
| Inventiveness | 1/5 |
| Storytelling Pace | 1/5 |
| Turn Length | 1/5 |
| Pros | Cons |
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| Notes | |
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Retired Model Information[edit]
Backend Model / Turn Information[edit]
| Name | Model | Free turns |
|---|---|---|
| Tiger | GPT-4o | 3 |
| Gryphon | Gemini 1.5 | 3 |
| Shishi | Qwen-2.5-Max | 3 |
| Ocetoomuch | DeepSeek R1, without certain restrictions that Friendly Fox put on regular Ocelot | 3 |
| Ocelot | DeepSeek R1 | 3 |
| Chimaera | Chooses randomly between Wildcat, Ocelot, Gryphon, and Shishi | 3 |
| Sabertooth | Claude 4.0 | 2 |
| Sabertooth-Thinking | Claude 4.0, extended thinking mode | 2 |
Tiger[edit]
Good points
Bad points
To note
Ocelot[edit]
Good points
- Cheap
- Very 'dynamic' turns
- Wild plot lines can be fun
Bad points
- Actually quite unhinged, leading to odd and wild plot lines
To note
Ocetoomuch[edit]
Good points
- Cheap
- Very 'dynamic' turns
- Good as a single turn mix-in AI to liven up the plot
Bad points
- Actually quite unhinged, leading to odd and wild plot lines
- Even more unhinged than Ocelot
To note
- Wild plot lines can be fun, but will wildly change the context of your current story.
Gryphon[edit]
Good points
Bad points
To note
Shishi[edit]
Good points
- Seems to follow instructions well
Bad points
- Can be hesitant to move the story in new directions
To note
- Similar output length to Grimalkin
Chimaera[edit]
Good points
- Cheap
- Can be quite fun
- Combination of 4 AIs helps avoid some of the bad habits of each individual AI
Bad points
- Not great for complex worlds
- Combination of 4 AIs makes writing for this difficult because of instruction inconsistencies
To note
- See notes on other models in this group
Sabretooth[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 5/5 |
| Cost | 3/5 |
| Inventiveness | 2/5 |
| Storytelling Pace | 1/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Sabretooth-Thinking[edit]
| At a Glance | |
|---|---|
| Adherence to Instructions | 5/5 |
| Cost | 4/5 |
| Inventiveness | 2/5 |
| Storytelling Pace | 1/5 |
| Turn Length | 3/5 |
| Pros | Cons |
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| Notes | |
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Notes[edit]
- ↑ Example: telling the AI to do A, B, and C, but the AI only does A and B
- ↑ Example: Coach Sarah Brennan is 32 years old and serves as the head of the women's athletics department. A former Olympic volleyball player whose career was cut short by a knee injury at age 26, she channeled her competitive drive into coaching and has built the athletics program into one of the most successful in the region. Emotionally, she's intense and demanding but genuinely cares about her athletes' wellbeing—she sees them as her legacy since she couldn't continue competing herself. She's originally from Boston, comes from a working-class Irish-American family, and worked three jobs to pay for her own undergraduate education before her Olympic success. She's been at the university for four years and has never shown romantic interest in other faculty, maintaining strict professional boundaries.
- ↑ Example: A soft knock on your door interrupts your thoughts; a neighbor, Lila, peeks in, eyes wide. "Hey, did you see the news?" she whispers, leaning close enough that you can feel the heat of her breath. "Everyone's talking about how rare we guys are now. It's... kind of crazy."
