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
—
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)
Skill cluster (0 dimension groups, role-scoped)
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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