Add demo and social post submission sections

docs/social-post.md

@@ -1,16 +1,61 @@
-# Social Post Draft
+# Social Media Post Script
 
-I built **LifeChoice Simulator** for the Hugging Face Build Small Hackathon.
+## Short Post
 
-Instead of chatting about a difficult decision, you step into one path and play through eight consequential moments. Every choice changes five metrics, creates durable facts and obligations, alters the visual world, and can return later as a cascade.
+I built LifeChoice Simulator for the Build Small Hackathon.
 
-The agent uses **Qwen2.5-7B-Instruct**, bounded context, strict validation, and deterministic fallbacks. No model is 32B or larger.
+It is not a chatbot. It is a small causal future simulator: enter a difficult fork in the road, choose one path to live through, and watch eight decisions change money, fulfillment, validation, stress, family pressure, the world state, and the final report.
 
-Built with Gradio, Hugging Face, and Codex.
+The first scene is deterministic for instant startup. Later nodes can be enriched by a 7B model, but the simulation engine owns the state, consequences, safety rules, and final report.
 
-Live Space: [ADD PUBLIC SPACE URL]
-Code: [ADD PUBLIC GITHUB URL]
-Demo: [ADD PUBLIC VIDEO URL]
+Live Space:
+https://huggingface.co/spaces/build-small-hackathon/LifeChoice-Simulator
 
-#BuildSmall #HuggingFace #Gradio #AI #Codex
+Build trace:
+https://huggingface.co/datasets/build-small-hackathon/lifechoice-simulator-trace
 
+#BuildSmallHackathon #HuggingFace #OpenAI #Codex #Gradio #Agents
+
+## LinkedIn / Longer Post
+
+I built LifeChoice Simulator for the Build Small Hackathon.
+
+The idea: when you face a hard fork in life, a chatbot can give advice, but it usually does not remember consequences in a structured way. LifeChoice instead turns one decision into a short interactive future.
+
+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:
+
+- financial security
+- fulfillment
+- social validation
+- stress
+- family satisfaction
+
+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.
+
+The model does not own the simulation. The deterministic engine owns state transitions, scoring, validation, fallback behavior, and safety boundaries. A 7B model is used only for optional bounded node enrichment.
+
+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.
+
+Live Space:
+https://huggingface.co/spaces/build-small-hackathon/LifeChoice-Simulator
+
+Public build trace:
+https://huggingface.co/datasets/build-small-hackathon/lifechoice-simulator-trace
+
+#BuildSmallHackathon #HuggingFace #OpenAI #Codex #Gradio #AIAgents
+
+## Demo Video Voiceover
+
+This is LifeChoice Simulator, a causal future simulator for difficult real-life decisions.
+
+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.
+
+The first scene loads immediately because it is deterministic. Every choice changes five world metrics: money, fulfillment, validation, stress, and family satisfaction.
+
+As I continue, the app remembers what I chose. Earlier decisions create facts, obligations, and closed options that return later as consequences.
+
+The environment also reacts. The world can become stable, thriving, or struggling, and the character can shift between neutral, stressed, and confident.
+
+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.
+
+Built for the Build Small Hackathon with Gradio, Hugging Face Spaces, a 7B model for optional bounded enrichment, and Codex as the implementation partner.