MoodBooster Specification

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MoodBooster

Happiness, Served Daily.

Overview

MoodBooster is an open source, AI-powered self-awareness and positive-perspective application designed to help users reconsider negative interpretations, explore alternative meanings behind everyday situations, and develop a more optimistic outlook on life. Users can describe conversations, experiences, thoughts, or challenges and receive thoughtful, plausible explanations that may reveal a more positive or neutral perspective than their initial interpretation.

MoodBooster encourages users to distinguish facts from assumptions, recognize emotional reactions, consider alternative viewpoints, and develop healthier thinking habits. The application promotes realistic optimism rather than forced positivity, helping users recognize that their first interpretation is not necessarily the only possible interpretation.

The system follows a modular architecture with essential capabilities implemented in core modules and additional functionality available through optional plugin modules.

Design Principles

Self-Awareness: Help users understand their thoughts, emotions, interpretations, and reactions.
Realistic Optimism: Encourage positive perspectives without dismissing genuine difficulties or uncomfortable emotions.
Perspective Flexibility: Present multiple plausible interpretations instead of treating an initial assumption as established fact.
Empathetic Interaction: Respond with compassion, encouragement, and respect for individual experiences.
User Autonomy: Allow users to evaluate suggestions and decide which interpretations are reasonable.
Privacy by Design: Minimize data collection and give users meaningful control over personal reflections and emotional information.
Modularity: Keep core capabilities independent while allowing optional modules to extend the application.
Accessibility: Provide an inclusive, understandable, and accessible experience for users with different needs and preferences.
Transparency: Clearly communicate AI limitations, uncertainty, and the distinction between possible interpretations and known facts.
Responsible AI: Avoid harmful assumptions, manipulative encouragement, and responses that minimize legitimate concerns.

Core Modules

Scenario Reframing Module

The Scenario Reframing Module is the central functionality of MoodBooster. It helps users reconsider situations that have caused disappointment, frustration, embarrassment, anxiety, sadness, or other difficult emotions.

Features include:

Accept descriptions of situations, conversations, events, thoughts, and personal experiences.
Identify the user’s initial interpretation of the situation when provided or reasonably inferable.
Generate multiple plausible explanations for what happened.
Present positive, neutral, compassionate, and practical interpretations.
Explore favorable possibilities that the user may not have considered.
Distinguish observable facts from assumptions, predictions, and interpretations.
Explain how missing context could change the meaning of an event.
Present alternative viewpoints without asserting unsupported conclusions.
Allow users to compare their original interpretation with alternative perspectives.
Encourage users to identify which explanations are consistent with the available evidence.
Provide optional follow-up questions when additional context would improve the analysis.
Adapt the depth of analysis to the user’s preferences and the complexity of the situation.

AI Self-Awareness Module

The AI Self-Awareness Module helps users recognize how their interpretations, expectations, beliefs, and emotional reactions influence their experiences.

Features include:

Help users identify emotions associated with a situation.
Explore the relationship between thoughts, feelings, and reactions.
Identify possible patterns such as jumping to conclusions, assuming negative intentions, overgeneralizing, or personalizing events.
Encourage users to examine assumptions without judging or criticizing themselves.
Ask reflective questions that support independent insight.
Help users recognize recurring emotional triggers.
Encourage consideration of alternative explanations before reaching conclusions.
Support reflection on personal expectations, boundaries, and communication preferences.
Highlight constructive coping strategies and personal strengths described by the user.
Encourage gradual development of independent perspective-taking skills.

The module must describe potential thought patterns as possibilities rather than diagnoses or definitive judgments about the user.

Perspective Exploration Module

The Perspective Exploration Module helps users examine situations from multiple reasonable viewpoints.

Features include:

Explore the user’s perspective and emotional experience.
Consider plausible explanations for another person’s words or actions.
Examine how an impartial observer might describe the situation.
Identify possible misunderstandings arising from ambiguous language or incomplete context.
Generate best-case, neutral, and practical scenarios when appropriate.
Encourage empathy without requiring users to excuse harmful behavior.
Identify information that could clarify an uncertain situation.
Suggest respectful questions users can ask to verify their interpretations.
Explain why multiple interpretations may remain possible.
Help users distinguish a hopeful possibility from a conclusion supported by evidence.

The module must never claim to know another person’s private intentions or present speculation as fact.

Mood Awareness Module

The Mood Awareness Module allows users to record and reflect on their emotional experiences.

Features include:

Provide optional daily mood check-ins.
Allow users to select descriptive emotion labels.
Support user-defined mood intensity ratings.
Record optional notes about events that influenced a mood.
Allow users to compare their feelings before and after a reframing exercise.
Maintain a chronological mood history when the user enables persistent storage.
Display personal mood trends using understandable summaries.
Help users identify recurring associations between situations and emotions.
Support optional reminders for mood check-ins.
Allow users to edit, export, and delete their records.

Mood trends must be presented as observations rather than proof of causation or clinical conclusions.

Quick Boost Module

The Quick Boost Module provides short, accessible encouragement when users want help shifting their perspective.

Features include:

Generate brief, personalized uplifting messages.
Offer encouragement for stressful or disappointing situations.
Provide realistic affirmations tailored to user-selected goals.
Suggest a small, constructive next step.
Offer brief grounding, breathing, or attention-shifting exercises.
Generate encouraging messages focused on confidence, resilience, patience, hope, and self-kindness.
Provide an optional daily positive thought.
Allow users to request shorter, more detailed, more direct, or gentler responses.
Avoid repetitive, generic, or exaggerated assurances.
Respect requests to pause, change the subject, or receive a more practical response.

Reflection and Personal Growth Module

The Reflection and Personal Growth Module helps users turn individual experiences into opportunities for learning and self-awareness.

Features include:

Provide guided reflection sessions.
Allow users to record what happened, how they interpreted it, and how they might view it differently.
Support personal journaling and saved insights.
Offer optional gratitude and positive-moment reflections.
Help users identify lessons learned from challenging experiences.
Maintain a personal timeline of saved reflections.
Provide daily and weekly summaries when enabled.
Allow users to define personal goals related to optimism, communication, confidence, and self-awareness.
Highlight progress in reflection habits without judging emotional outcomes.
Help users recognize situations in which an alternative interpretation proved useful.
Allow users to revisit earlier reflections and record how their understanding has changed.

Conversation and Communication Module

The Conversation and Communication Module helps users interpret ambiguous communication and respond constructively.

Features include:

Analyze user-provided text messages, emails, and conversation excerpts.
Explore possible meanings behind brief, ambiguous, or seemingly negative messages.
Consider how context, timing, and communication style may affect interpretation.
Explore alternative explanations for delayed responses or changes in tone.
Help users examine workplace misunderstandings and interpersonal disagreements.
Suggest respectful clarification questions.
Draft calm, constructive responses to difficult communications.
Help users prepare for challenging conversations.
Identify situations in which direct communication may be more useful than speculation.
Encourage empathy while preserving the user’s right to establish boundaries.

The module must not automatically interpret criticism, silence, rejection, or conflict as positive. It should acknowledge uncertainty and recognize when the available evidence indicates a genuine concern.

Personalization Module

The Personalization Module allows users to shape MoodBooster around their preferences and goals.

Features include:

Support configurable coaching styles, including gentle, upbeat, thoughtful, analytical, humorous, and concise.
Allow users to select preferred response length and level of detail.
Provide adjustable levels of optimism while preserving realism.
Support user-defined personal growth goals.
Allow users to enable or disable optional features.
Remember user preferences only according to the selected privacy and storage settings.
Allow users to reset personalization and coaching preferences.
Provide accessible defaults and clear explanations of configurable settings.

Personalization must never override safety requirements, misrepresent uncertainty, or pressure users to accept an interpretation.

Privacy and Data Control Module

The Privacy and Data Control Module protects personal information and gives users control over their records.

Features include:

Minimize the collection of personal and emotional information.
Support guest or temporary sessions where feasible.
Provide clear controls for saving and retaining conversations.
Protect stored information using appropriate encryption and access controls.
Support data export and deletion.
Explain when information is processed by external AI services.
Disclose applicable data retention and processing practices.
Prevent unauthorized access to private journals and mood records.
Avoid using intimate personal reflections for targeted advertising.
Avoid sharing personal information with third parties without appropriate authorization.
Support local storage and local processing options where feasible.
Keep diagnostic logs free of unnecessary sensitive content.
Provide clear privacy settings and understandable explanations of their effects.

Encryption claims must accurately reflect the implemented architecture. End-to-end encryption must not be claimed when the service requires access to plaintext data for AI processing.

Responsible AI and Emotional Safety Module

The Responsible AI and Emotional Safety Module establishes behavioral safeguards across all core modules.

Features include:

Acknowledge and validate understandable emotional reactions.
Avoid insisting that every situation has a positive meaning.
Distinguish hopeful possibilities from verified facts.
Avoid diagnosing mental health conditions.
Avoid shaming users for negative thoughts or difficult emotions.
Recognize indications of abuse, coercion, manipulation, threats, or repeated mistreatment.
Avoid reframing dangerous or harmful behavior as harmless without evidence.
Prioritize practical safety guidance when a situation presents a genuine risk.
Provide appropriate support guidance when users describe serious distress or immediate danger.
Communicate that MoodBooster is an AI self-awareness companion and not a substitute for qualified professional care.
Respect user autonomy and allow users to reject any suggested interpretation.
Avoid dependency-building language, emotional manipulation, and claims that the AI uniquely understands the user.

Optional Plugin Modules

Optional plugins extend MoodBooster without making their capabilities mandatory for the core application. Each plugin must follow the application’s privacy, accessibility, security, and responsible AI requirements.

Cognitive Reframing Plugin

Provides additional structured exercises for identifying unhelpful assumptions and developing balanced interpretations.

Features include guided thought reviews, evidence examination, alternative thought generation, and structured reflection exercises.

Mindfulness and Calm Plugin

Provides optional techniques for grounding, relaxation, and present-moment awareness.

Features include guided breathing, brief mindfulness exercises, sensory grounding, calming prompts, and customizable relaxation sessions.

Journaling and Gratitude Plugin

Extends personal reflection with additional journaling capabilities.

Features include customizable journal templates, gratitude prompts, positive-moment collections, searchable entries, and optional reflection summaries.

Relationship Communication Plugin

Extends communication support for interpersonal situations.

Features include conflict de-escalation exercises, communication preparation, boundary-setting prompts, perspective exploration, and constructive response drafting.

Personal Insights Plugin

Provides additional analysis of user-authorized reflection and mood data.

Features include optional trend summaries, recurring theme identification, personal goal tracking, and comparisons across user-selected periods.

Insights must communicate limitations and must not present correlations as established causes.

Daily Motivation Plugin

Extends the Quick Boost Module with scheduled encouragement and optional activities.

Features include user-configured reminders, daily reflection prompts, motivational messages, and optional perspective-building challenges.

Voice Interaction Plugin

Adds voice-based interaction for users who prefer speaking to typing.

Features include speech input, spoken responses, configurable voice preferences, and clear controls for recording and microphone permissions.

Voice recordings and transcripts must follow the user’s privacy settings and disclosed retention policies.

Local AI Plugin

Enables compatible local AI models where supported by the deployment environment.

Features include configurable model selection, local inference, reduced reliance on external AI services, and clear indicators of which processing mode is active.

The plugin must disclose differences in capability, resource requirements, and availability between local and external processing.

Offline Journal Plugin

Provides local access to selected journaling and reflection features without an active internet connection.

Features include local journal storage, access to saved reflections, locally available exercises, and synchronization controls when connectivity returns.

The plugin must handle synchronization conflicts and protect locally stored information.

Accessibility Enhancement Plugin

Adds optional accessibility improvements beyond the application’s baseline accessibility requirements.

Features may include enhanced text presentation, additional input methods, configurable interaction patterns, and compatibility improvements for assistive technologies.

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system.
Copyleft enforced for network deployments.
Required attribution:
- Roxanne Ardary
- roxanneardary.com

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment.
- Pricing based on scale, usage, and deployment scope.
- https://roxanneardary.com/moodbooster/

License & Notice Requirements

MoodBooster is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to Roxanne Ardary and roxanneardary.com.
MoodBooster specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – MoodBooster

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – October 29, 2026
Created the repository for MoodBooster. Developed the project concept for an AI-powered self-awareness application that helps users reframe negative thoughts, explore alternative interpretations, and discover a more positive perspective on everyday situations.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – MoodBooster

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points:

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.

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