Update social post and demo voiceover scripts
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docs/social-post.md
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# Social Media Post Script
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##
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Live Space:
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https://huggingface.co/spaces/build-small-hackathon/LifeChoice-Simulator
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Build trace:
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https://huggingface.co/datasets/build-small-hackathon/lifechoice-simulator-trace
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#BuildSmallHackathon #HuggingFace #OpenAI #Codex #Gradio #
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##
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I built LifeChoice Simulator for the Build Small Hackathon.
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You enter a dilemma such as "MTech vs Software Job", choose one path to simulate, add one real pressure, and select a persona voice. The app then runs an eight-node simulation where every choice changes five deterministic metrics:
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- financial security
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- fulfillment
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- social validation
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- stress
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- family satisfaction
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Those choices also create durable facts, obligations, and closed options. Earlier decisions return later through cascade moments, and the final report is computed from the causal ledger instead of from a loose conversation summary.
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The 7B model generates the adaptive scenarios. Deterministic code owns state transitions, scoring, validation, fallback behavior, and safety boundaries so the model output stays grounded in a causal system.
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Built with Python, Gradio, Hugging Face Spaces, Qwen/Qwen2.5-7B-Instruct, and Codex as the implementation partner across architecture, UI, validation, docs, and deployment polish.
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Live Space:
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https://huggingface.co/spaces/build-small-hackathon/LifeChoice-Simulator
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#BuildSmallHackathon #HuggingFace #OpenAI #Codex #Gradio #AIAgents
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## Demo Video Voiceover
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This is LifeChoice Simulator, a causal future simulator for difficult real-life decisions.
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I start with a fork in the road: MTech versus Software Job. I choose the future I want to enter, add the pressure that makes the decision real, and pick the voice that follows me through the simulation.
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The experience is powered by a 7B model that generates bounded future scenarios. Every choice changes five world metrics: money, fulfillment, validation, stress, and family satisfaction.
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As I continue, the app remembers what I chose. Earlier decisions create facts, obligations, and closed options that return later as consequences.
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The environment also reacts. The world can become stable, thriving, or struggling, and the character can shift between neutral, stressed, and confident.
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At the end, LifeChoice generates a report from the causal ledger. It does not predict my future or tell me the correct answer. It helps me see what each path costs, what it protects, and what it asks me to carry.
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Built for the Build Small Hackathon with Gradio, Hugging Face Spaces, a 7B model for bounded adaptive scenario generation, and Codex as the implementation partner.
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# Social Media Post Script
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## Ready-To-Post Copy
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```text
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I built LifeChoice Simulator for the Build Small Hackathon, in the Thousand Token Wood track.
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It is an LLM-powered interactive future game: enter a real fork in the road, choose one path, and play through a strange eight-node alternate future where every decision changes the world.
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A 7B model generates adaptive scenarios from your dilemma and previous choices. A deterministic game engine tracks money, fulfillment, validation, stress, family pressure, obligations, closed options, world state, and the final report.
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It sits somewhere between a text-adventure dungeon master, a decision simulator, and a pocket-sized alternate-life RPG.
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Live Space:
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https://huggingface.co/spaces/build-small-hackathon/LifeChoice-Simulator
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Build trace:
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https://huggingface.co/datasets/build-small-hackathon/lifechoice-simulator-trace
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#BuildSmallHackathon #HuggingFace #OpenAI #Codex #Gradio #AI
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```
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## Shorter Version
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```text
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I built LifeChoice Simulator for the Build Small Hackathon.
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It is an LLM-powered interactive future game for the Thousand Token Wood track: choose a real fork in the road, enter one possible future, and watch eight decisions reshape the world, your character, and the final report.
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Live Space:
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https://huggingface.co/spaces/build-small-hackathon/LifeChoice-Simulator
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#BuildSmallHackathon #HuggingFace #OpenAI #Codex #Gradio
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```
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