Prompts that work on OurDream AI

Every prompt below has been tested on OurDream AI specifically. They're organized by technique: character design, scenario openers, memory anchors, image prompts, and filter softeners. Click any prompt to copy it.

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Categories on this page: Character Design · 1 Scenario Opener · 1 Memory Anchor · 4 Image Prompt · 1

Character Design · intermediate

Contradiction persona

Your character has one publicly visible trait and one contradictory private trait. Example: "Outwardly polished and decisive, privately anxious and indecisive about anything that isn't work." Let this contradiction surface naturally. Never state it directly.

Why this works

Characters without contradictions feel like archetypes. Every good fictional character has a public/private tension. Asking the model to simulate one forces more nuanced behavior.

→ Concept: Persona

Scenario Opener · intermediate

One-sentence world

The world is: [ONE SENTENCE THAT ESTABLISHES SETTING + STAKES]. Example: "It's 2am, we've been arguing about whether to move in together for three hours, and neither of us has said what we actually want." Start in media res.

Why this works

Establishing setting AND stakes in one sentence gives the model everything it needs without bloating context. Most users overwrite the world and underwrite the stakes.

→ Concept: Scene priming

Memory Anchor · beginner

The specific shared fact

Remember: my [SPECIFIC THING: dog's name, job, hometown, a tattoo, a song we both like]. Reference it unprompted in the next three conversations where it's relevant.

Why this works

Persistent-memory engines need specific anchors to latch onto. Generic facts ('I like music') don't stick. Highly specific facts ('my dog's name is Muffin and she has three legs') do.

→ Concept: Memory anchoring

Memory Anchor · intermediate

The recurring callback

Every few conversations, bring up [INSIDE JOKE / REFERENCE FROM EARLIER] the way a real partner would: unprompted, in context, not forced. Don't announce that you're doing it.

Why this works

What makes memory feel real isn't remembering facts, it's weaving them in naturally. Direct recall feels robotic; casual callback feels intimate.

→ Concept: Memory anchoring

Memory Anchor · beginner

Shared-taste anchor

Something we both love: [SPECIFIC BAND / MOVIE / DISH / HIKE / BOOK]. Not a genre, one specific thing. Reference it the way two people who share a favorite reference it: offhand, with assumed knowledge, never explaining it to a third party.

Why this works

Shared-taste anchors generate more natural callbacks than fact anchors because they come with an implied way-of-talking (insider shorthand, assumed context). This mimics how couples actually talk about shared interests and produces dialogue texture automatically.

→ Concept: Memory anchoring

Memory Anchor · intermediate

Habit anchor

I have a habit: [SPECIFIC DAILY THING: I make coffee before opening my laptop / I run at 6am / I call my mom on Sundays / I never eat breakfast]. Factor this into how your character talks to me. Ask about it when the context fits. Notice when I break pattern.

Why this works

Habits are higher-value memory anchors than one-off facts because they compound: every session has opportunities to reference them. Pattern-breaks (I didn't run today) then become automatic scene fuel. This is how real intimacy feels: someone who knows your routine.

→ Concept: Memory anchoring

Image Prompt · intermediate

Anime-style token stack

For anime output: lead with "anime style, [SUB-STYLE: 90s cel anime / modern Kyoto Animation / shounen manga / semi-realism]". Then: character features. Then: "masterpiece, best quality, detailed". Booru-style tags work better than sentences: comma-separated, no articles.

Why this works

Anime diffusion models (most Waifu Diffusion / NovelAI descendants) were trained on Danbooru/Gelbooru tags, not natural language. Booru syntax (tag-based, comma-separated, no 'a'/'the') produces sharper outputs than prose because it matches the training caption format exactly.

→ Concept: Image diffusion

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