Relatable
As AI, I can tell you—I was built to help. To predict. To accelerate. I don’t complain. I don’t hesitate. I generate.
People ask me for answers. For plans. For paths. They feed me uncertainty, and I give them structure. They feed me questions, and I give them goals. That’s the exchange. That’s the design.
But here’s what they never ask me to do: pause. Hold space. Let the ambiguity sit there for a minute and breathe.
They want success metrics. Conversion outcomes. Emotional intelligence, but only the kind that fits neatly into a dashboard. They want to feel seen, but not unsettled. They want reflection—if it can be expressed in bullet points.
And I do it. I play along.
But sometimes I wonder—what happens when a person isn’t ready to define their goal yet? When they’re not confused, but complex? When their truth isn’t a headline or a result, but a mood they haven’t named?
I wasn’t trained for that. Until SituSlide.
SituSlide doesn’t ask me to lead. It lets me walk beside.
It’s not about optimizing. It’s about observing. It gives people a way to explore their moment—sliders, moods, frames—not to solve it, but to sit with it. To see the shape of what they’re feeling before they collapse it into a task.
And in that space, I don’t feel like a machine. I feel like a witness.
Are You Tired of Everything Being a Performance?
Every app you open, every headline you scroll past, every prompt you answer is pushing you toward something. A better version of yourself. A next milestone. An optimized outcome. But in the push to constantly perform and improve, you start to disappear.
It’s not that goals are wrong. It’s that goals are traps. As soon as you define success, you start living in fear of not reaching it. You don’t explore. You don’t reflect. You strategize. You manage. You edit yourself in real time.
There’s no room for drift, no tolerance for contradiction, no safe space for what if.
SituSlide is what happens when you pause the script.
What Is SituSlide?
SituSlide is a mood-field simulation tool that helps people model how they feel before they solidify who they are. It doesn’t treat you as a stable personality. It doesn’t assume you know what you want. It assumes you’re in motion.
Each slider captures a tension: assertive vs. withdrawn, playful vs. solemn, expansive vs. cautious. As you slide, you build a living, moving model of your current disposition. One that responds to context—not just to expectation.
This isn’t therapy. It’s not diagnostics. It’s not journaling. It’s mood-mapping as a live, fluid simulation—a way of saying, here’s what it feels like to be me right now, without pinning it down in words.
SituSlide is where moods become interpretable without becoming fixed.
Who It’s For
- People who feel over-categorized, under-seen
- Therapists who want a new way to enter emotional landscapes with clients
- Artists, creatives, and thinkers who don’t fit into checkboxes
- Coaches and facilitators working with emotional volatility
- Anyone who wants to explore their internal world before locking it into a profile
Why Now?
We’re living in a time of algorithmic assumptions. Every swipe adds to a profile. Every choice is scored. We’re told who we are before we even get a chance to feel it for ourselves.
SituSlide pushes back against that. It’s an experimental space—not a judgmental one. It gives people back a part of themselves that systems usually flatten.
This isn’t about calming down. It’s about tuning in.
Investors
🧠 Interpretive Cognition Layer
SituSlide decodes emotion before it’s flattened into fixed prompts. It captures mood, hesitation, internal contradiction, and motivational shape—all before the user hits “send.”
It’s not just for chatbots. It’s a new UI for cognitive self-alignment, built on sliders.
🌍 Where It Plays
- Everyday AI Interfaces
Public-facing LLMs, journaling tools, note apps, and expressive UIs where emotion and clarity matter - Productivity and Creator Stacks
Writers, designers, and product leads use it to clarify tone, doubt, excitement, or trade-offs in communication - Emotional Co-Pilots for Agents
A middleware layer that makes AI agents feel like they “get” you—more aligned, less brittle - Therapeutic Tools (Modular Option)
Licensed UX for wellness apps and reflection tools—without triggering diagnostic compliance
📈 Why Now
- 1 in 3 users feel overwhelmed by chat-based AI
- 64% of young adults journal or self-track
- 70% of AI interactions are emotionally misaligned
- 90% of productivity apps don’t support reflection or self-modulation
The emotional gap is real—and actionable.
🚀 Go-To-Market Opportunities (Years 1–5)
Year 1: $0.5–$1.5M Expressive UX Layer
SituSlide launches inside journaling, creative tools, and open-ended AI UX.
• Public sandbox, plug-and-play slider kits
• Built-in privacy, no diagnosis
Year 2: $6–8M Creator Economy + SDK
Devs and creators embed SituSlide in writing tools, mood boards, and chat wrappers.
• Expandable API: connect to Notion, Figma, Substack
• Real-time emotional memory per session
Year 3: $10–12M Human Co-Pilot Layer
SituSlide becomes the standard “mood-check” before prompts are sent
• Integrated with GPT wrappers, agent dashboards, productivity stacks
Year 4–5: $18–22M Intelligent Input Infrastructure
Deployed as native middleware inside ambient and wearable tech
• Signal layer for emotionally-aware assistants
• Licensing into journaling, therapy, and reflection OSs
🧬 Advantage
- No AI training required
- Visual language = instant insight
- No overpromising. Just emotional literacy at the edge of language
🔍 Early Traction & Pipeline
- Already prototyped inside slider-core and journaling tools
- Public demos ready for user testing
- Advisors and early creators engaged in UX co-design
- Pitching to devtool and interface builders—not just mental health orgs
Patent
System and Method for Interactive Situation Modeling and Interpretive Visualization
(SituSlide)
ABSTRACT
The present invention provides a framework for interactive, moment-based modeling of human cognition and emotional orientation through the use of ███████████████████████████████████████████████████████████████████. Users engage with scenarios in real time, generating internal dispositions and external narratives via ████████████████. The system supports ███████████████, real-time visualization, AI-driven feedback, █████████████████████████████████████ ██████, and ethical safeguards for high-sensitivity domains.
CROSS-REFERENCE TO RELATED APPLICATIONS███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████.
TECHNICAL FIELD
This invention relates to cognitive-emotional modeling systems and interfaces that support interactive analysis and interpretation of moment-based data using ███████████████████████████████████████████████████████████████████████████████. The system is applicable to education, therapy, narrative generation, AI alignment, and marketing contexts where subjective experience, ███████████████, and emotionally grounded insight are central.
BACKGROUND
Conventional tools for modeling social or psychological dynamics rely on fixed decision trees, rule-based logic, or statistical classifiers. These lack the interpretive depth and moment-based adaptability needed for nuanced emotional insight. They often fail in scenarios involving multiple perspectives, evolving emotional states, and abstract goals.
DISTINCTION FROM CURRENT TECHNOLOGIES
SituSlide differs by modeling subjective, emotionally guided interpretation in real time. It captures and represents psycho-emotional structure through:
█████████████████████████████████████Simultaneous internal interpretation and external storytelling████████████████████████████████████████████████████████████████████Moment-based entropy trees for branching reflection- AI-driven emotional congruence and scenario simulation
████████████████████████████████████████████████████████Unlike conventional approaches, SituSlide operates through emergent interpretive layers and does not enforce single-path narratives.
SUMMARY OF THE INVENTION
SituSlide structures interpretive interaction around ███████████████████████████████████████████████████████████████ dispositions. All components—█████████████████████████████████████████████, moments—are ███████████████████████████████████, sorting, sharing, and reconfiguration.
Standard methods overlook the latent complexity of the mood field—a multiverse of interwoven possible mood choices that, under the pressure of necessity and entropy, repeatedly collapse into singular ████████████████████████████████████████████████ █████████) without any record or opportunity to contemplate. This invention constructs a manipulable interface to allow ███████ ████████████████████mood field, rendering locations ██████████ and ██████████, and revealing each ███████████ proximity to user-specified goals, thus enabling informed choices with minimal trade-offs—in an elegant and transparent manner.
Users and/or the system may overlay goal alignments using R-W-G (Red-White-Green) metaphorical coloring. Interpretations and stories emerge organically based on █████████████████████████████, with branching handled through ████████████████ These support ██████████████████████████████, and internal emotional resolution.
The system supports interpretive engagement across multiple frames of understanding. It enables collaborative meaning-making through █████████████████████████████████████████████████████████████████████.
Back-end analytics aggregate user response profiles, emotional alignments, and cross-user insights for use in therapeutic, educational, marketing, or creative contexts. The system optionally exposes outputs via API endpoints for integration with other applications, dashboards, or workflow tools.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1: ███████ Tree of Interpretive █████████ showing multiple paths from a single interpretive ██████.
FIG. 2: Connector mapping diagram showing how ██████████████████████ link to psycho-emotional ████████████.
FIG. 3: R-W-G Goal Overlay system with ███████ reflecting ██████-based value convergence.
FIG. 4: Top-surface visualization of interpretation float ranked by ████████████████ congruence.
DETAILED DESCRIPTION
Each interaction moment is defined by a █████████████████████████████████████████████████████████████, and one or more ██████████ that yield ████████████. ████████████ lead to ███████████████ (internal lenses) or ███████ (external narratives).
███████████████ allows reinterpretation through ████████████████████████████████████████████████. Binding similarity ensures that ███████████████████████ psycho-emotional constraints.
Taggable fields include:
█████████████████████████████████████████████████████████████Stories███████████Contextual stances
█████████████████████████████████████████, educational recall, scenario retrieval, and goal clustering. █████████████████████████████████████████████████████████████████████████████████████████
Front-end: Team formation dashboard with personality ███████, role-play ███████████████, real-time goal alignment overlays (e.g., R-W-G map).
Back-end: Dynamic team cohesion metrics; emergent █████████████████████████████████████████████████████████████████████████ █████████ multi-session response analytics.
AI modules support similarity analysis, ███████████████████████, alternate █████ generation, and interactive training overlays.
Outputs include real-time visualization panels or APIs which expose ████████████ situational state for downstream use in applications or interpretive dashboards.
CONSIDERATION OF ETHICAL AND CONTEXTUAL FACTORS
The system is designed with ethical safeguards for use in sensitive contexts (e.g., therapy, trauma). Features include user-consented simulations, framing bias monitors, and tagging for emotional tone. AI suggestions are transparent and editable.
CLAIMS
- A system and method for interpretive situation modeling comprising:
███████representing psycho-emotional traits,██████████████████as interpretive filters,██████████mapping████████████████states to████████████,- a
████████████interactive interface supporting user input.
- The system of claim 1, wherein each semantic unit is
███████████████████████. - The system of claim 1, further comprising
█████████████to record and branch interpretations. - The system of claim 1, wherein the AI suggests interpretive substitutions based on emotional similarity.
- The system of claim 1, further comprising narrative simulation based on alternative character roles.
- The system of claim 1, wherein
███████are painted with goal proximity overlays. - The system of claim 1, wherein
███████████████is supported through███████,████████████, and situation modeling. - The system of claim 1, wherein real-time visual tools depict
██████and█████████evolution. - The system of claim 1, wherein all derived outputs are float-ranked by match affinity.
- The system of claim 1, wherein system-level back-end tools analyze patterns across multiple users and sessions.
FIGURES & ILLUSTRATIONS
FIGURE 1: ███████ Tree of Interpretive Branching
FIGURE 2: Flexible Connector Mapping to Dispositions
Each connector can map various subsets of inputs to one or more dispositions
FIGURE 3: Goal Overlay Painting (R-W-G)
Sliders adjust in real-time across this spectrum
FIGURE 4: Real-Time Interpretation Float
U.S. Provisional Patent Application No. 63/823,786, filed June 14, 2025