Persona guidelines
Personality · Relationships · Voice · Behavior

We design the persona guidelines, prompts, and dialogue datasets your team needs to build a character AI.
Personality · Relationships · Voice · Behavior
Instructions and examples for your model
Reviewed dialogues for examples, training, and evaluation
As AI becomes part of learning, work, and entertainment, how it treats people matters alongside what it says.
BeetlReel defines an AI character’s role, personality, relationships, and behavior around your service and its users, supporting a consistent identity and appropriate boundaries across conversations.
Share your character concept and service goals. We produce the guidelines and data in formats agreed with your developers. Commission the full package or only the deliverables you need.
Interpret an existing story or brand, or develop an original character from the ground up. Connect their personality and background to choices and behavior in conversation.
Persona bible · Relationship definitions · Voice and behavior guidelines
Translate characterization into practical instructions and dialogue examples. Test and refine responses against agreed scenarios on the selected model.
System prompts · Example dialogues · Test findings · Implementation guide
We write dialogue suited to your character and its situations. We create and review datasets for your intended use: examples in prompts, model fine-tuning, or dialogue quality evaluation.
Purpose-specific dialogue datasets · Data specifications · Writing and review criteria
Review an existing chatbot’s voice, story consistency, and relationship cues. Identify where characterization breaks down, refine prompts and data, and evaluate again.
Evaluation dialogues · Error analysis · Recommended changes · Before-and-after report
Different services call for different characters and conversations.
Practice conversation, discuss books, and work through problems. Questions, hints, and self-explanation encourage learners to think for themselves.
From game NPCs to fan-facing IP characters, design responses grounded in the story world, character motivations, and relationships.
Give mascots and product guides a recognizable brand voice, with standards for accurate explanations and recommendations that avoid overstatement.
Tell the stories of artworks and places at a level visitors can follow, with clear distinctions between historical facts and fictional interpretation.
Design simulated counterparts for interviews, negotiation, and customer service, with role-specific needs, emotions, and responses.
Guide people through everyday tasks and digital services, respecting their understanding and choices and identifying when human help is needed.
Grounded in storytelling, writing craft, and dramaturgy, we turn a character’s motivations, values, and relationships into concrete choices and responses in dialogue.
Define what catches a character’s attention and where they take the conversation.
Set the principles behind agreement, refusal, conflict, and unexpected questions.
Shape how closeness changes their language, including what they leave unsaid.
Bring vocabulary, rhythm, humor, and emotional expression into actual dialogue.
A conversation with a child learning Hangul. As a fellow learner, Markdoong asks the child to check his reading.
A child-friendly learning assistant

An alien friend learning Hangul
Both conversations are written illustrations of character design, not actual model outputs, records of conversations with children, or evidence of learning outcomes. A general LLM can also respond in this way.
Turn ethical principles into dialogue rules, examples, and evaluation criteria for real situations.
Be clear about being AI, acknowledge uncertainty, and distinguish fact from fiction. Characterization should not justify confident misinformation.
Warmth should not become automatic agreement or demands for an exclusive relationship. Design responses that respect user judgment and real-world relationships.
Define age- and context-appropriate language, personal-information requests, and responses to sensitive questions, including when to involve a teacher, caregiver, or responsible staff member.
Behavior guidelines and prompts alone cannot guarantee safety. We provide design and review criteria to support your development team’s technical safeguards and operational evaluation.
Address mistakes without discouragement, offer clues before answers, and invite learners to explain in their own words. Learning outcomes depend on the audience and design; we define dialogue and evaluation criteria around learning goals rather than promise cognitive improvement.
Fluent dialogue alone does not establish whether a character matches your intent. We define responses that fit your story and brand, then turn them into examples and evaluation criteria. When LLMs assist production, selection, editing, and review follow those standards.
It depends on the project. We start with prompts and examples, then evaluate the result. If fine-tuning is needed, we agree on the model and data format with your developers before preparing training data. Evaluation examples are kept separate from development and training examples. Dataset production and model training are separate tasks; responsibility for training is agreed with your development team in advance.
We quote each project based on character count, source material, original writing, data volume, languages, and review rounds. BeetlReel handles design, data, and dialogue evaluation; responsibilities for integration, model training, deployment, and operations are agreed with your development team.
Extend an existing IP into AI, give a brand character a conversational voice, or create an original persona. Tell us about your source material, service goals, and the deliverables you need.
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