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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
no_db_connection
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)
No skills extracted
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
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.

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