polym-sdr-leads-qualification

What problem does it solve?

Teams need a consistent way to qualify Trigify lead exports into qualified, review, and disqualified buckets without spending manual time on evidence gathering and subjective judgment.

Core Features & Use Cases

• LLM evidence extraction + deterministic scoring: Runs a single LLM pass per lead to extract evidence, assign five sub-scores, and produce a score and decision.
• Python guardrails and routing: Re-validates results deterministically in Python and routes leads into qualified, review, or disqualified outputs based on thresholds and hard disqualifiers.
• Campaign packs for product-fit qualification: Applies product-specific scoring rubrics for bundled campaigns (Seedance and Kling) and supports creating custom campaign packs.

Example use: After exporting leads from Trigify, score and route them for outreach by producing qualified/review/disqualified CSVs plus per-lead JSON artifacts with evidence and decisions.

Quick Start

Request it with: Score my Trigify CSV at /path/to/leads.csv into output at /path/to/output using the seedance campaign.