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tax-doc-classifier

kyotofin/tax-doc-classifier

Jev-based classifier for IRS tax document pages.

Classification & Routing1.00Runner-up: Verification & GuardrailsScorecardCheck-up
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

Classifies text-bearing PDF pages into IRS form and page-kind candidates with a confidence gate, for teams triaging tax documents. It is document triage, not tax advice, and scanned pages need OCR first.

How it uses Jev

Each page's text is sent to Jev as one request over 7 page kinds and 230 form options (plus not_in_this_list); five corporate/foreign forms trigger a second sub-form question. Jev returns probabilities, and formConfidence (the minimum over steps) gates whether the caller acts or falls back.

Primitives:choice

Technique worth stealing

Gate on the minimum confidence across steps; fall back below the gate instead of trusting a low-confidence label.

Try it

pnpm install; pnpm typecheck; pnpm test. Needs Node 20+, poppler, and TYPESAFE_API_KEY.

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 material0.95
  • Shows a System One patternunclear0.53
  • Describes handling uncertaintynot found in the excerpt0.15
  • Reports measured numbersFound in material0.82
  • Is a runnable toolFound in material0.87
  • Top-10 learning shortlist signalunclear0.46
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.95Shows a System One pattern0.53Describes handling uncertainty0.15Reports measured numbers0.82Is a runnable tool0.87Top-10 learning shortlist signal0.46Is a replica of the model0.0500.51Solves a common problem (0–2)1.04 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.90Scorecard0.88Viewfinder0.43Menu0.27Funnel0.2000.51

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.