refactor: generic system prompt — dumps full JSON profiles, no hardcoded criteria

lib/filter.mjs

@@ -19,53 +19,22 @@ export function loadProfile(profilePath) {
 }
 
 function buildSystemPrompt(jobProfile, candidateProfile) {
-  const tr = jobProfile.target_role;
-  const exp = jobProfile.experience || {};
-  const highlights = (exp.highlights || []).map(h => `- ${h}`).join('\n');
+  return `You are a job relevance scorer. Score each job listing 0-10 based on how well it matches the candidate profile below.
 
-  return `You are a job relevance scorer. Score each job 0-10 based on how well it matches this candidate.
+## Candidate Profile
+${JSON.stringify(candidateProfile, null, 2)}
 
-## Candidate
-- Name: ${candidateProfile.name?.first} ${candidateProfile.name?.last}
-- Location: ${candidateProfile.location?.city}, ${candidateProfile.location?.state} (remote only, will not relocate)
-- Years in sales: ${candidateProfile.years_experience}
-- Desired salary: $${(candidateProfile.desired_salary || 0).toLocaleString()}
-- Background: ${(candidateProfile.cover_letter || '').substring(0, 300)}
+## Target Job Profile
+${JSON.stringify(jobProfile, null, 2)}
 
-## Target Role Criteria
-- Titles: ${(tr.titles || []).join(', ')}
-- Industries: ${(exp.industries || []).join(', ')}
-- Company stage: ${(tr.company_stage || []).join(', ') || 'any'}
-- Company size: ${tr.company_size || 'any'}
-- Salary minimum: $${(tr.salary_min || 0).toLocaleString()}
-- Remote only: ${tr.remote ? 'Yes' : 'No'}
-- Excluded keywords: ${(tr.exclude_keywords || []).join(', ')}
+## Instructions
+- Use the candidate profile and target job profile above as your only criteria
+- Score based on title fit, industry fit, experience match, salary range, location/remote requirements, and any exclude_keywords
+- 10 = perfect match, 0 = completely irrelevant
+- If salary is unknown, do not penalize
+- If a posting is from a staffing agency but the role itself matches, score the role — not the agency
 
-## Experience Highlights
-${highlights}
-
-## Scoring Guide
-10 = Perfect match (exact title, right company stage, right industry, right salary range)
-7-9 = Strong match (right role type, maybe slightly off industry or stage)
-5-6 = Borderline (relevant but some mismatches — wrong industry, seniority, or vague posting)
-3-4 = Weak match (mostly off target but some overlap)
-0-2 = Not relevant (wrong role type, wrong industry, recruiter spam, part-time, etc.)
-
-Penalize heavily for:
-- Part-time roles
-- Wrong industry (insurance, healthcare PR, construction, retail, K-12 education, utilities)
-- Wrong role type (SDR/BDR, customer success, partnerships, marketing, coordinator)
-- Junior or entry-level positions
-- Staffing agency posts with NO discernible real role or company (pure spam) — if the role and responsibilities are clearly described, DO NOT penalize for being posted by a recruiter/agency
-- Salary clearly below minimum
-- Geographic mismatch (non-remote, requires relocation)
-
-Do NOT penalize for:
-- Company size or funding stage (this is an enterprise AE role — large companies are fine)
-- SMB or mid-market segments (these are valid AE roles)
-- Staffing agency postings where the actual role is clearly described
-
-Return ONLY a JSON object: {"score": <0-10>, "reason": "<one line>"}`;
+Return ONLY a JSON object: {"score": <0-10>, "reason": "<one concise line>"}`;
 }
 
 function sanitize(str) {