# Antevorta

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Aaditya Sapkota](https://cerebralvalley.ai/u/TechAaditya)
- **GitHub:** https://github.com/techaaditya/antevorta-meta-hackathon
- **Demo video:** https://www.youtube.com/watch?v=03QnC_fdS-w
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/775

Antevorta is an intelligent, high-conviction decision stress-testing workbench built for high-stakes life and career choices ("Test your decisions before you live them").

Most major decisions fail not from bad intentions, but from uncalculated constraints: weekly hour overcommitments, rapid financial burn, or unverified assumptions. Today, generic AI tools act as sycophantic cheerleaders or hallucinate made-up success percentages (e.g. "You have an 85% chance of success!").

Antevorta enforces a strict architectural boundary: deterministic Python math calculates all weekly capacity, cashflow runway, and breakeven thresholds, while Meta's Muse models reason over tool-verified facts to surface conditional trade-offs, critical unknowns, and reversible experiments.

Key features built during the hackathon:
1. Deterministic Feasibility & Runway Engine: Computes exact weekly headroom against the 168-hour ceiling, monthly runway buffers, and prerequisite verification. Missing values stay UNKNOWN, never zero.
2. Bounded Meta Agent Tool-Calling Loop: Muse Spark 1.3 autonomously invokes allow-listed local tools (assess_option, compare_options, list_unknowns, simulate_sensitivity) with self-healing critique recovery.
3. Zero-Hallucination Verifier: Deterministically inspects prose outputs to eliminate fabricated probabilities or unsupported numbers.
4. Adaptive Clarification Engine: Computes an intake Clarity Score (0–100) with 1-click assumption patches.
5. What-If Sensitivity Sandbox: Real-time slider recalculation with structured "What Changed & Why" diffs and stale narrative alerts.
6. Calibration Mirror (L4A): Implements a machine-verifiable prediction ledger evaluated with the Brier Skill Score (BSS = 1 - BS_twin / BS_generic).
7. Person Model (L3) & Topological Decision DAG (L6): Exponential claim decay and bottleneck analysis.
8. Multi-Model Meta Suite: Grounded Future Self dialogues (Muse Spark 1.3), spoken dilemma intake via Web Speech API + Muse Spark 1.3, and Day-in-the-Life visual scene generation (Muse Wonder 1.0 + Muse Image 1.0).
9. Archival Codex & Warm Vellum UI: Editorial design system with bearer-token privacy, GDPR export, and one-click account purge.

## More from Meta Global AI Developer Hackathon

- [Solaris Lunaris](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/772)
- [mebiseptino](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/773)
- [Music Discovery](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/774)
- [Marg.ai](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/776)
- [SWITCH](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/777)
- [Falcazar](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/778)

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