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memorial

bmalossi/memorial

Spiritual memory app with biblical AI and pastoral care.

Other0.67Runner-up: Scoring & RankingFunnel
Automated README summary

Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Memorial is a React Native/Expo + Supabase mobile app for iOS and Android where users record spiritual experiences—testimonies, prayers, reflections, and consecration purposes—and receive biblically associated insights. It is the official companion app of the Bíblia Vive platform.

How it uses Jev

The README states that biblical connections are mapped server-side via the Supabase Edge Function `memorial-connections`, integrating the TypeSafe JEV (System One) taxonomy. It lists categories such as prophetic fulfillment, language echo, covenant contrast, and prayer response. The README does not specify which Jev primitives are used, what state is passed, or how the result is consumed in code.

Technique worth stealing

Anti-gibberish filter (`isMeaningfulText`) blocks random or test input before generating artificial verses.

Try it

git clone, npm install, set .env, then npx expo start

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.12
  • Shows a System One patternnot found in the excerpt0.09
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.90
  • Top-10 learning shortlist signalnot found in the excerpt0.15
  • Is a replica of the modelnot found in the excerpt0.09
  • Solves a common problem (0–2)score on a 0–2 scale0.99 / 2
  • About JevFound in material0.87
Signals
Jev is core to the project0.12Shows a System One pattern0.09Describes handling uncertainty0.04Reports measured numbers0.05Is a runnable tool0.90Top-10 learning shortlist signal0.15Is a replica of the model0.0900.51Solves a common problem (0–2)0.99 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.7300.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 13 Oct 2026.