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typesafe-demo-finance-tracking-app

Hari31416/typesafe-demo-finance-tracking-app

Personal finance tracker using Jev's typed decisions for categorization and anomaly detection.

Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A demo personal finance tracker with a Python/FastAPI backend and React/TypeScript frontend. It categorizes transactions, detects subscriptions and duplicates, and flags anomalies using Jev's calibrated probabilities, then applies deterministic budget rules.

How it uses Jev

On each transaction, Jev runs: choice to pick a category with confidence, noul for subscription and duplicate probability, and score for 1-5 anomaly rating. Results gate application logic: categories below 0.80 confidence need review, subscriptions at ≥0.70 register, duplicates at ≥0.80 flag.

Primitives:choicenoulscore

Technique worth stealing

Threshold-gating Jev's calibrated probabilities for human review instead of trusting the model's top choice.

Try it

Set JEV_API_KEY in .env, then run 'make setup' and 'make start' from the repository root.

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 projectFound in material0.81
  • Shows a System One patternFound in material0.79
  • Describes handling uncertaintynot found in the excerpt0.08
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.81
  • Top-10 learning shortlist signalunclear0.51
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale0.21 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.81Shows a System One pattern0.79Describes handling uncertainty0.08Reports measured numbers0.06Is a runnable tool0.81Top-10 learning shortlist signal0.51Is a replica of the model0.0300.51Solves a common problem (0–2)0.21 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.98Fail open, fail closed0.80Funnel0.35Questionnaire0.27Grey zone0.2700.51

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 20 Sept 2026.