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Pipeline run

eb148c31-1c63-47e3-a440-e4feeb26a912

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: completed Created: 2026-05-24T11:13:37.492591Z Updated: 2026-05-24T11:13:37.557732Z API 3 duration: 25 ms
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

ROLE : Product Manager

slug: — · id: — · source: llm

JD body too sparse: 77 words, 1 tech-marker hits — needs more detail (>=80 words or >=2 tech markers) for confident classification

Resolution: human_review_required — role not in DB; role↔dimension links may be deferred.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped

Job description

ROLE : Product Manager

• Four-year degree or equivalent experience. 
• 6+ years of hands-on Product Management experience or equivalent domain experience
• Proven success in building and scaling marketplaces, platforms, or complex multi-sided ecosystem
• Deep understanding of marketplace economics, seller ecosystems, and buyer behavior.
• Strong technical aptitude, experience working closely with business, engineering and data science and cross functional enterprise teams.
• Exceptional leadership, communication, and stakeholder management skills.
• Ability to think strategically while driving operational excellence.

Library artifacts (this run)

No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
  "final_skills": [],
  "jd_role": {
    "display_name": "ROLE : Product Manager",
    "rationale": "JD body too sparse: 77 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: 77 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
{
  "alias_matches": [],
  "candidate_roles": [],
  "chosen_role": {
    "display_name": "ROLE : Product Manager",
    "id": null,
    "rationale": "JD body too sparse: 77 words, 1 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
    "role_archetype": "Other",
    "slug": "",
    "source": "llm"
  },
  "dimensions": [],
  "input_final_skills": [],
  "input_llm_skills": [],
  "new_aliases_persisted": 0,
  "run_id": "eb148c31-1c63-47e3-a440-e4feeb26a912",
  "skills_detail": [],
  "unmatched_skills": []
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "ROLE : Product Manager",
    "id": null,
    "rationale": "JD body too sparse: 77 words, 1 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
    "role_archetype": "Other",
    "slug": "",
    "source": "llm"
  },
  "chosen_role_resolution": "human_review_required",
  "final_input_skills": [],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "eb148c31-1c63-47e3-a440-e4feeb26a912"
}

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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