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airtale

SebassContreras/airtale

Automated inbound lead qualification with Jev System One and Airtable CRM.

Classification & Routing0.91Runner-up: Scoring & RankingFunnel
Automated README summary

Automatically summarized from the README on 30 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Airtale is a high-throughput inbound lead triage service for website forms, webhooks, and messaging channels. It evaluates inquiries in sub-second time using Jev and syncs enriched leads with conversion scores and classification badges directly into Airtable.

How it uses Jev

Jev (TypeSafe AI's System One) evaluates inbound lead messages to classify them into one of 6 discrete categories and assign a 0-100 conversion score. The typed decision result is used to enrich the lead record before syncing to Airtable.

Primitives:choicescore

Technique worth stealing

Deterministic classification into 6 discrete buckets with typed choices and scores, avoiding JSON parsing errors.

Try it

Run pnpm dev and open http://localhost:3000 for the interactive sandbox.

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 patternnot found in the excerpt0.33
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolFound in material0.87
  • Top-10 learning shortlist signalnot found in the excerpt0.26
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.17 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.89Shows a System One pattern0.33Describes handling uncertainty0.07Reports measured numbers0.08Is a runnable tool0.87Top-10 learning shortlist signal0.26Is a replica of the model0.0600.51Solves a common problem (0–2)1.17 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.9400.51

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 30 Sept 2026.