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Pipeline run

cd79bf0a-5fbe-44ed-80ea-43a71d9484a5

Pipeline LLM cost (USD)
API 1: $0.0017 API 2: $0.0000 API 3: $0.0000 Total: $0.0017

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)
0.20 / 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): AI
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: 2026-05-22T06:50:24.758270Z Updated: 2026-05-22T06:50:24.822784Z API 3 duration: 26 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

slug: — · id: — · source: llm

Stage 1 marked JD_type=fail (unparseable)

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

About the job
Greetings from Tata Consultancy Services

Join the Walk-in Drive on 16th May 2026  and Pave your path to value with TCS AI Cloud Team

We are Hiring for Below Skills 

Exp : 2 yrs to 12 yrs 



Share point Developer



Walk In Drive Date :16th May 2026

Registration Time : 09:30 AM – 12:30PM

Venue : TCS Yamuna Park (TCS Noida Sector 135), Noida - 201301


Requirements added by the job poster

• 2+ years of work experience with SharePoint

• 2+ years of Technology, Information and Internet experience

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
JD type fail
Show raw JSON
{
  "JD_type": "fail"
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [],
  "jd_role": {
    "display_name": "\u2014",
    "rationale": "Stage 1 marked JD_type=fail (unparseable)",
    "role_aliases": [],
    "role_archetype": "\u2014",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "fail"
  },
  "rejected": true,
  "rejection_reason": "Stage 1 marked JD_type=fail (unparseable)",
  "run_id": null,
  "stage3_signals": null,
  "stage4_decision": null,
  "stage5_updates": null
}
API 2 — extract-details
{
  "alias_matches": [],
  "candidate_roles": [],
  "chosen_role": {
    "display_name": "\u2014",
    "id": null,
    "rationale": "Stage 1 marked JD_type=fail (unparseable)",
    "role_archetype": "\u2014",
    "slug": "",
    "source": "llm"
  },
  "dimensions": [],
  "input_final_skills": [],
  "input_llm_skills": [],
  "new_aliases_persisted": 0,
  "run_id": "cd79bf0a-5fbe-44ed-80ea-43a71d9484a5",
  "skills_detail": [],
  "unmatched_skills": []
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "\u2014",
    "id": null,
    "rationale": "Stage 1 marked JD_type=fail (unparseable)",
    "role_archetype": "\u2014",
    "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": "cd79bf0a-5fbe-44ed-80ea-43a71d9484a5"
}

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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