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Document reactive world and metric-driven backgrounds

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README.md CHANGED
@@ -96,6 +96,50 @@ Each turn combines:
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  The result is not a prediction engine and not an advice bot. It is a playable mirror: a fictional system for feeling how tradeoffs compound.
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  ## AI Role
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  The LLM is central to the project. It generates the adaptive future scenarios that make each run feel personal to the player's dilemma, chosen path, calibration pressure, and earlier decisions.
@@ -140,7 +184,7 @@ Hugging Face model metadata reports `7,615,616,512` parameters. No secondary mod
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  | Bounded memory | Recent choices, facts, obligations, and closed options are carried forward |
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  | Consequential choices | Every decision mutates metrics and the causal ledger |
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  | Delayed consequences | Prior decisions return at cascade moments instead of disappearing |
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- | Reactive visuals | Backgrounds, metrics, world label, and sprite expression change with state |
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  | Final report | The ending is computed from what happened in the playthrough |
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  ## Safety
@@ -196,6 +240,8 @@ This submission does not claim Tiny Titan, OpenBMB, NVIDIA, Modal credits, Off t
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  - `Qwen/Qwen2.5-7B-Instruct` at 7.616B parameters
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  - Thread-pool prefetching
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  - Deterministic state engine
 
 
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  - Pixel-art environment assets
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  - Public Hugging Face Space deployment
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  The result is not a prediction engine and not an advice bot. It is a playable mirror: a fictional system for feeling how tradeoffs compound.
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+ ## Reactive Worlds
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+
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+ The visual world is not static. LifeChoice chooses a background family from the player's chosen path, then switches the image as the metrics change.
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+ There are **6 environment types**:
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+ | Environment | Trigger Examples |
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+ |---|---|
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+ | `campus_academic` | MTech, PhD, college, study, masters, research |
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+ | `studio_creative` | artist, art, music, design, film, creative, writer |
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+ | `startup_chaotic` | startup, founder, business |
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+ | `medical_clinical` | doctor, medical, NEET, hospital |
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+ | `corporate` | corporate, manager, consulting, MBA |
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+ | `tech_office` | default environment for other paths |
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+ Each environment has **3 metric-driven states**:
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+
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+ | State | Meaning |
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+ |---|---|
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+ | `stable` | The path is tense but balanced enough to continue |
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+ | `thriving` | Overall wellbeing is high and stress is controlled |
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+ | `struggling` | Stress, money pressure, or low wellbeing is visibly damaging the world |
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+ That creates **18 background variants** in total, such as:
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+ ```text
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+ campus_academic_stable.png
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+ campus_academic_thriving.png
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+ campus_academic_struggling.png
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+ startup_chaotic_stable.png
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+ startup_chaotic_thriving.png
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+ startup_chaotic_struggling.png
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+ ```
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+ The character also reacts to the same simulation state:
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+ | Character State | Trigger |
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+ |---|---|
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+ | `neutral` | Default state |
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+ | `stressed` | Stress rises above the danger threshold |
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+ | `confident` | Fulfillment is high while stress stays low |
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+ The background represents the condition of the world around the player. The character represents how the player is holding up inside that world.
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  ## AI Role
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  The LLM is central to the project. It generates the adaptive future scenarios that make each run feel personal to the player's dilemma, chosen path, calibration pressure, and earlier decisions.
 
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  | Bounded memory | Recent choices, facts, obligations, and closed options are carried forward |
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  | Consequential choices | Every decision mutates metrics and the causal ledger |
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  | Delayed consequences | Prior decisions return at cascade moments instead of disappearing |
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+ | Reactive visuals | 6 environment families, 18 background states, metric bars, world label, and sprite expression change with state |
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  | Final report | The ending is computed from what happened in the playthrough |
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  ## Safety
 
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  - `Qwen/Qwen2.5-7B-Instruct` at 7.616B parameters
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  - Thread-pool prefetching
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  - Deterministic state engine
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+ - 6 environment families and 18 metric-driven background variants
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+ - 3 character states: `neutral`, `stressed`, and `confident`
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  - Pixel-art environment assets
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  - Public Hugging Face Space deployment
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