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Pipeline run

b4797950-5e4f-4558-a60e-4472a932d38f

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: 2026-05-27T15:24:30.658271Z Updated: 2026-06-12T16:32:13.193928Z

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

Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performanceContribute in all phases of the development lifecycle: concept, design, build, deploy, test, release to app stores and support.Diagnose performance issues, fix bugs (including crashes and ANRs) to increase the functionality of the applicationWrite well designed, testable, efficient codeEnsure designs are in compliance with specificationsPrepare and produce releases of software components

Library artifacts (this run)

No artifact rows for this run.

API 1 — extract-from-jd click to toggle

{
  "final_skills": [],
  "jd_role": {
    "display_name": "Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performanceContribute in all phases of the development lifecycle: concept, design, build, deploy, test, release to app stores and support.Diagnose performance issues, fix bugs (including crashes and ANRs) to increase the functionality of the applicationWrite well designed, testable, efficient codeEnsure designs are in compliance with specificationsPrepare and produce releases of software components",
    "rationale": "JD body too sparse: 63 words, 0 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: 63 words, 0 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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