Pipeline run
590dea37-db69-4b7c-8118-ec8e23c8c90c
Pipeline LLM cost (USD)
API 1: $0.0000
API 2: $0.0000
API 3: $0.0000
Total: $0.0000
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
—
Frameworks (×2):
—
Models / concepts (×3):
—
Evidence — skills matched in JD (0)
Skill cluster (0 dimension groups, role-scoped)
Status:
extract_from_jd_done
Created: 2026-05-27T15:19:13.331514Z
Updated: 2026-06-12T16:37:01.365376Z
Flow
Current 3-step pipeline
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Role
Chosen role & resolution
No chosen role stored for this run.
Job description
The ideal candidate will efficiently and quickly write PHP in a timely and scalable way in order to improve the code-base of the company's products in meaningful ways. This candidate will be able to test the code and make adjustments where necessary. They should also be experience in contributing to the whole software design lifecycle. Responsibilities • Write clean, well-designed code • Troubleshoot and test core product software to ensure strong optimization • Contribute to all phases of the development lifecycle Qualifications • Bachelor's degree in computer science or related field • Experience in software development • Passion for best design and coding practices • Strong knowledge of relational databases, tools and PHP skills
Library artifacts (this run)
No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
"final_skills": [],
"jd_role": {
"display_name": "The ideal candidate will efficiently and quickly write PHP in a timely and scalable way in order to improve the code-base of the company\u0027s products in meaningful ways. This candidate will be able to test the code and make adjustments where necessary. They should also be experience in contributing to the whole software design lifecycle.",
"rationale": "JD body too sparse: 59 words, 1 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
"role_aliases": [],
"role_archetype": "Other",
"slug": ""
},
"nano_parsed": null,
"rejected": true,
"rejection_reason": "Sparse JD: JD body too sparse: 59 words, 1 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
"run_id": null,
"stage3_signals": null,
"stage4_decision": null,
"stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
Loading…