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Pipeline run

4e30d8ca-8153-4aab-846e-b5babb95fd9d

Pipeline LLM cost (USD)
API 1: $0.0031 API 2: $0.0003 API 3: $0.0000 Total: $0.0034

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
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 (6)
Mortgage Loan Booking Data Entry Operations Credit Compliance
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Show KRA description ↓
• Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements. • Contribute to penetration of mortgage business in Rural markets through lead generations and account opening as per needs of customer • Spearhead mapping of detailed household needs based on direct customer interactions • Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets • Achieve individual and branch sales goals through new business sales, referrals and retention of account relationship and maintain high collections efficiency • Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams • Coordinate with operations officer to ensure timely and accurate data entry • Ensure compliance as per the bank requirements • Recommend process changes in order to improve service efficiency and quality across the branch network • Provide support for implementation of livelihood advancement and community development initiatives. Customer Acquisition targets, Cross sell targets

Signals

Skill
Alias
KRA ml-ops-engineer
0.41
Status: completed Created: 2026-05-21T23:34:18.047122Z Updated: 2026-05-21T23:34:32.875327Z API 3 duration: 1078 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

Associate Relationship Manager-LAP

CASE NEW

slug: — · id: — · source: llm

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

Job Title: Associate Relationship Manager-LAP

Job Requirements

Job Requirements

Job Title – Associate Relationship Manager-LAP

Place of work- Rajasthan/Gujarat/Karnataka/Madhya Pradesh/Chhattisgarh/Odisha/Andhra Pradesh

Business Unit - Rural Banking

Function- Retail Assets

Job Purpose

The role entails deepening relationships with Rural Banking accounts and ensuring best in-class service to the customers. The role bearer has a responsibility to identify mortgage needs of customers and provide appropriate lending solutions ( Loan Against Property) . The role bearer is responsible for driving client acquisition, building household level customer relationships and capitalizing on lifetime value in each relationship to achieve larger organizational goals.

Roles & Responsibilities

• Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements.
• Contribute to penetration of mortgage business in Rural markets through lead generations and account opening as per needs of customer 
• Spearhead mapping of detailed household needs based on direct customer interactions 
• Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets 
• Achieve individual and branch sales goals through new business sales, referrals and retention of account relationship and maintain high collections efficiency
• Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams
• Coordinate with operations officer to ensure timely and accurate data entry
• Ensure compliance as per the bank requirements


Secondary Responsibilities

• Recommend process changes in order to improve service efficiency and quality across the branch network
• Provide support for implementation of livelihood advancement and community development initiatives.


Key Success Metrics

Customer Acquisition targets, Cross sell targets

Educational Qualifications

Graduate-Any graduate

Experience

0-2 Years in NBFCs/Banking.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Mortgage Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Financial Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Loan Booking Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Financial Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Data Entry Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Administrative Skills
Sub-category
general
Skill nature
PRACTICE
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
Operations Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Business Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Credit Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Financial Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Compliance Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Legal Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Mortgage | type=Financial Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Loan Booking | type=Financial Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Data Entry | type=Administrative Skills subtype=general nature=PRACTICE lifespan=SHORT_LIVED
canonical_skill_proposed Operations | type=Business Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Credit | type=Financial Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Compliance | type=Legal Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleAssociate Relationship Manager-LAP
Experience0-2 Years in NBFCs/Banking
DomainBanking
Location India
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "archetype_override_applied": true,
  "archetype_override_matched_skills": [
    "profiling",
    "Metrics",
    "Role"
  ],
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "Rural Banking"
      ],
      "domain": "Banking"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE/BSC/BA/BCOM - Any Discipline",
      "raw": "Graduate-Any graduate",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": 2,
    "min": 0,
    "raw": "0-2 Years in NBFCs/Banking"
  },
  "job_locations": [
    {
      "aliases": [],
      "city": null,
      "country": "India",
      "state": "Rajasthan",
      "work_mode": null
    },
    {
      "aliases": [],
      "city": null,
      "country": "India",
      "state": "Gujarat",
      "work_mode": null
    },
    {
      "aliases": [
        "Karnataka"
      ],
      "city": null,
      "country": "India",
      "state": "Karnataka",
      "work_mode": null
    },
    {
      "aliases": [],
      "city": null,
      "country": "India",
      "state": "Madhya Pradesh",
      "work_mode": null
    },
    {
      "aliases": [],
      "city": null,
      "country": "India",
      "state": "Chhattisgarh",
      "work_mode": null
    },
    {
      "aliases": [],
      "city": null,
      "country": "India",
      "state": "Odisha",
      "work_mode": null
    },
    {
      "aliases": [],
      "city": null,
      "country": "India",
      "state": "Andhra Pradesh",
      "work_mode": null
    }
  ],
  "role": "Associate Relationship Manager-LAP",
  "role_aliases": [
    "Relationship Manager",
    "ARM",
    "Associate RM"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 8,
      "heading": "Roles \u0026 Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Assess and evaluate the",
        "last_5_words": "as per the bank requirements"
      },
      "text": "\u2022 Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements.\n\u2022 Contribute to penetration of mortgage business in Rural markets through lead generations and account opening as per needs of customer \n\u2022 Spearhead mapping of detailed household needs based on direct customer interactions \n\u2022 Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets \n\u2022 Achieve individual and branch sales goals through new business sales, referrals and retention of account relationship and maintain high collections efficiency\n\u2022 Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams\n\u2022 Coordinate with operations officer to ensure timely and accurate data entry\n\u2022 Ensure compliance as per the bank requirements",
      "word_count": 134
    },
    {
      "bullet_count": 2,
      "heading": "Secondary Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Recommend process changes in",
        "last_5_words": "advancement and community development initiatives."
      },
      "text": "\u2022 Recommend process changes in order to improve service efficiency and quality across the branch network\n\u2022 Provide support for implementation of livelihood advancement and community development initiatives.",
      "word_count": 30
    },
    {
      "bullet_count": 0,
      "heading": "Key Success Metrics",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Customer Acquisition targets, Cross",
        "last_5_words": "Cross sell targets"
      },
      "text": "Customer Acquisition targets, Cross sell targets",
      "word_count": 5
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Mortgage"
    },
    {
      "is_primary": true,
      "skill_name": "Loan Booking"
    },
    {
      "is_primary": true,
      "skill_name": "Data Entry"
    },
    {
      "is_primary": false,
      "skill_name": "Operations"
    },
    {
      "is_primary": false,
      "skill_name": "Credit"
    },
    {
      "is_primary": false,
      "skill_name": "Compliance"
    }
  ],
  "jd_role": {
    "display_name": "Associate Relationship Manager-LAP",
    "rationale": null,
    "role_aliases": [
      "Relationship Manager",
      "ARM",
      "Associate RM"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "archetype_override_applied": true,
    "archetype_override_matched_skills": [
      "profiling",
      "Metrics",
      "Role"
    ],
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "Rural Banking"
        ],
        "domain": "Banking"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE/BSC/BA/BCOM - Any Discipline",
        "raw": "Graduate-Any graduate",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": 2,
      "min": 0,
      "raw": "0-2 Years in NBFCs/Banking"
    },
    "job_locations": [
      {
        "aliases": [],
        "city": null,
        "country": "India",
        "state": "Rajasthan",
        "work_mode": null
      },
      {
        "aliases": [],
        "city": null,
        "country": "India",
        "state": "Gujarat",
        "work_mode": null
      },
      {
        "aliases": [
          "Karnataka"
        ],
        "city": null,
        "country": "India",
        "state": "Karnataka",
        "work_mode": null
      },
      {
        "aliases": [],
        "city": null,
        "country": "India",
        "state": "Madhya Pradesh",
        "work_mode": null
      },
      {
        "aliases": [],
        "city": null,
        "country": "India",
        "state": "Chhattisgarh",
        "work_mode": null
      },
      {
        "aliases": [],
        "city": null,
        "country": "India",
        "state": "Odisha",
        "work_mode": null
      },
      {
        "aliases": [],
        "city": null,
        "country": "India",
        "state": "Andhra Pradesh",
        "work_mode": null
      }
    ],
    "role": "Associate Relationship Manager-LAP",
    "role_aliases": [
      "Relationship Manager",
      "ARM",
      "Associate RM"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 8,
        "heading": "Roles \u0026 Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Assess and evaluate the",
          "last_5_words": "as per the bank requirements"
        },
        "text": "\u2022 Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements.\n\u2022 Contribute to penetration of mortgage business in Rural markets through lead generations and account opening as per needs of customer \n\u2022 Spearhead mapping of detailed household needs based on direct customer interactions \n\u2022 Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets \n\u2022 Achieve individual and branch sales goals through new business sales, referrals and retention of account relationship and maintain high collections efficiency\n\u2022 Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams\n\u2022 Coordinate with operations officer to ensure timely and accurate data entry\n\u2022 Ensure compliance as per the bank requirements",
        "word_count": 134
      },
      {
        "bullet_count": 2,
        "heading": "Secondary Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Recommend process changes in",
          "last_5_words": "advancement and community development initiatives."
        },
        "text": "\u2022 Recommend process changes in order to improve service efficiency and quality across the branch network\n\u2022 Provide support for implementation of livelihood advancement and community development initiatives.",
        "word_count": 30
      },
      {
        "bullet_count": 0,
        "heading": "Key Success Metrics",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Customer Acquisition targets, Cross",
          "last_5_words": "Cross sell targets"
        },
        "text": "Customer Acquisition targets, Cross sell targets",
        "word_count": 5
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "4e30d8ca-8153-4aab-846e-b5babb95fd9d",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "ML Ops Engineer",
        "kra_matches": [
          {
            "kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
            "sentence": "Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets",
            "similarity": 0.4314
          },
          {
            "kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
            "sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
            "similarity": 0.4125
          },
          {
            "kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
            "sentence": "Ensure compliance as per the bank requirements",
            "similarity": 0.386
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 16,
        "score": 0.41,
        "slug": "ml-ops-engineer",
        "total_count": null
      },
      {
        "display_name": "Cybersecurity Engineer",
        "kra_matches": [
          {
            "kra_text": "Defines secure engineering standards, secure coding guidelines, threat intelligence feeds, and compliance requirements for the organization.",
            "sentence": "Ensure compliance as per the bank requirements",
            "similarity": 0.4409
          },
          {
            "kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
            "sentence": "Assess and evaluate the client needs and generate new sources of revenue by leveraging cross sell opportunities as per their lifestyle, risk profiling and requirements.",
            "similarity": 0.3878
          },
          {
            "kra_text": "Hardens system and service configurations, applies security baselines, removes unnecessary services, and reduces attack surface across infrastructure.",
            "sentence": "Recommend process changes in order to improve service efficiency and quality across the branch network",
            "similarity": 0.3731
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 5,
        "score": 0.4006,
        "slug": "cybersecurity-engineer",
        "total_count": null
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": [
          {
            "kra_text": "Maintains data catalog entries, column-level data lineage, and technical documentation to support data discoverability and governance across the organization.",
            "sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
            "similarity": 0.3981
          },
          {
            "kra_text": "Implements data quality validation rules, reconciliation checks, and anomaly detection to ensure data completeness, accuracy, and consistency.",
            "sentence": "Conduct end-user checks as specified post disbursal of loans while achieving monthly and annual group loan booking targets",
            "similarity": 0.3907
          },
          {
            "kra_text": "Implements data quality validation rules, reconciliation checks, and anomaly detection to ensure data completeness, accuracy, and consistency.",
            "sentence": "Ensure compliance as per the bank requirements",
            "similarity": 0.384
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 2,
        "score": 0.3909,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "AI Compliance Officer",
        "kra_matches": [
          {
            "kra_text": "Maintains audit trail documentation, evidence records, and compliance certification artifacts for AI system approvals and regulatory review.",
            "sentence": "Ensure compliance as per the bank requirements",
            "similarity": 0.4038
          },
          {
            "kra_text": "Maintains audit trail documentation, evidence records, and compliance certification artifacts for AI system approvals and regulatory review.",
            "sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
            "similarity": 0.3962
          },
          {
            "kra_text": "Coordinates AI incident response procedures, regulatory breach notification, audit investigation support, and remediation tracking for compliance issues.",
            "sentence": "Coordinate with operations officer to ensure timely and accurate data entry",
            "similarity": 0.3502
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 12,
        "score": 0.3834,
        "slug": "ai-compliance-officer",
        "total_count": null
      },
      {
        "display_name": "Pega Developer",
        "kra_matches": [
          {
            "kra_text": "Requirements analysis and process translation",
            "sentence": "Lead preparation of quality documentation of loans to ensure minimum queries / rejections from Operations / Credit teams",
            "similarity": 0.3884
          },
          {
            "kra_text": "business rule configuration and maintenance",
            "sentence": "Ensure compliance as per the bank requirements",
            "similarity": 0.3823
          },
          {
            "kra_text": "Requirements analysis and process translation",
            "sentence": "Spearhead mapping of detailed household needs based on direct customer interactions",
            "similarity": 0.3791
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 24,
        "score": 0.3833,
        "slug": "pega-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": []
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "NEW",
    "chosen_role": {
      "display_name": "Associate Relationship Manager-LAP",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": null,
      "score": 0.0,
      "slug": "associate-relationship-manager-lap",
      "total_count": null
    },
    "confidence": 0.0,
    "is_new_role": true,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "new_role_display_name": "Associate Relationship Manager-LAP",
    "new_role_slug": "associate-relationship-manager-lap",
    "queued": false,
    "reasoning": "No catalog signal for \u0027Associate Relationship Manager-LAP\u0027: KRA top=0.41 (\u003c0.45), skill top=0.00 (\u003c0.20). Finalizing as new role; v3 enriches in background."
  },
  "stage5_updates": null
}
API 2 — extract-details
{
  "alias_matches": [],
  "candidate_roles": [],
  "chosen_role": {
    "display_name": "Associate Relationship Manager-LAP",
    "id": null,
    "rationale": null,
    "role_archetype": "Engineering",
    "slug": "",
    "source": "llm"
  },
  "dimensions": [],
  "input_final_skills": [
    "Mortgage",
    "Loan Booking",
    "Data Entry",
    "Operations",
    "Credit",
    "Compliance"
  ],
  "input_llm_skills": [
    "Mortgage",
    "Loan Booking",
    "Data Entry",
    "Operations",
    "Credit",
    "Compliance"
  ],
  "new_aliases_persisted": 0,
  "run_id": "4e30d8ca-8153-4aab-846e-b5babb95fd9d",
  "skills_detail": [
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Mortgage",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Financial Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "mortgage",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Loan Booking",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Financial Practices",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "loan-booking",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Data Entry",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Administrative Skills",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "SHORT_LIVED",
          "version_strategy": "VERSIONED",
          "volatility": "FAST"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "data-entry",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Operations",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Business Practices",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "operations",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Credit",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Financial Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "credit",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Compliance",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Legal Practices",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "compliance",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Mortgage",
    "Loan Booking",
    "Data Entry",
    "Operations",
    "Credit",
    "Compliance"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Associate Relationship Manager-LAP",
    "id": null,
    "rationale": null,
    "role_archetype": "Engineering",
    "slug": "",
    "source": "llm"
  },
  "chosen_role_resolution": "human_review_required",
  "final_input_skills": [
    {
      "skill": "Mortgage",
      "tag": "new"
    },
    {
      "skill": "Loan Booking",
      "tag": "new"
    },
    {
      "skill": "Data Entry",
      "tag": "new"
    },
    {
      "skill": "Operations",
      "tag": "new"
    },
    {
      "skill": "Credit",
      "tag": "new"
    },
    {
      "skill": "Compliance",
      "tag": "new"
    }
  ],
  "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": "4e30d8ca-8153-4aab-846e-b5babb95fd9d"
}

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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