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airtable-jev

SebassContreras/airtable-jev

Automated inbound lead qualification and triage with Jev AI and Airtable CRM sync.

Classification & Routing0.99Runner-up: Scoring & RankingFunnel
Automated README summary

Automatically summarized from the README on 2 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A high-throughput service for ingesting prospective customer inquiries from website forms and webhooks, filtering bots, classifying intent, scoring leads, and syncing qualified records to Airtable CRM.

How it uses Jev

Jev (typesafe/jev-1.13) acts as a decision arbiter for lead qualification. It takes lead state and returns deterministic categories, 0–100 scores, and reasoning via Strict JSON Schema Structured Outputs. The result is used to classify and score leads before syncing to Airtable.

Primitives:choicescore

Technique worth stealing

Hot-reloaded prompt architecture with scoring rubric in prompts/jev-scoring.md managed by src/services/prompt-manager.ts.

Try it

pnpm install, configure .env, then pnpm dev

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 material0.89
  • Shows a System One patternunclear0.49
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.90
  • Top-10 learning shortlist signalunclear0.46
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.24 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.89Shows a System One pattern0.49Describes handling uncertainty0.06Reports measured numbers0.06Is a runnable tool0.90Top-10 learning shortlist signal0.46Is a replica of the model0.0300.51Solves a common problem (0–2)1.24 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.91Fail open, fail closed0.3000.51

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 2 Oct 2026.