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Inbound lead qualifier

New leads scored against your fit criteria before anyone spends a minute on them.

By
Caleb and Ryan, the founders
Updated
September 2, 2026
Version
0.1, in the library
  • n8n
  • Anthropic API

Each inbound lead is read against your written fit criteria the moment it arrives: strong fits go to a person with a drafted first reply, weak fits get a courteous standard path, and the borderline ones land in a review queue with the reasoning shown. Your criteria stay in one editable file, so the bar is yours to move.

Built, documented, running.

Part of the working library we deploy from on every engagement.

Bring this into a project

Runs on

  • n8n
  • Anthropic API

2 requirements, below.

  • Complete and documented: the same files we run ourselves.
  • Deployed and tuned to your stack as part of an engagement.

The file

Draft excerpt
# Fit criteria strong: named problem we solve + authority to actweak: student projects, vendors, mass outreachborderline: right problem, unclear authorityrule: borderline always gets human eyes

What is inside

3 items. Includes deployment guide.

  • flow.jsonArrival, scoring, routing, and the review queue
  • criteria.mdThe editable fit bar the scoring reads
  • guide.mdTuning the thresholds against your real inbound

Who it is for

  • The team treats every inquiry with the same urgency, including the wrong ones.
  • Good leads wait hours because they arrived behind three bad ones.
  • Qualification standards drift depending on who reads the inbox.

Requirements

  • Fit criteria you can state in writing
  • The inbox or form where leads arrive

Where this sits

  1. This system

    Inbound lead qualifier

    In the library, running.

  2. In your stack

    Deployed on an engagement

    The audit finds which system earns its place first; we install and tune it around how you work.

Changelog

  1. September 2, 2026In the library. Version 0.1 runs in our own operation.

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