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Pipeline run

0d5f1d73-508e-49ac-bc60-8671b1857c48

Pipeline LLM cost (USD)
API 1: $0.0034 API 2: $0.0002 API 3: $0.0000 Total: $0.0036

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · End-to-end feature delivery
Build and improve web app features for warehouse maps, flight scheduling/progress, and customer insights; define IA/user flows/wireframes, partner on data models/APIs, and keep the platform fast, scalable, tested, and CI/CD-ready.
"Define and implement new features, fixes, and improvements to our web application suite."
Tech stack maturity
Mainstream Modern
APIs, CI/CD, and unit testing are core practices of a contemporary software stack, indicating a mainstream modern development environment rather than legacy or bleeding-edge tech.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 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, ML, Machine Learning
Evidence — skills matched in JD (8)
Web Application Development APIs Data Models CI/CD Unit Testing Build Scripts Automation Machine Learning
Skill cluster (2 dimension groups, role-scoped)
AI Governance and Model Security
Machine Learning
Cross-cutting / unaligned
Web Application Development APIs Data Models CI/CD Unit Testing Build Scripts Automation
Show KRA description ↓
Define and implement new features, fixes, and improvements to our web application suite. This includes interfaces that map warehouse physical environments, build flight schedules, control flight progress, and help our customers view immediate data insights and trends based on flight results. Help us define and refine our overall web systems information architecture - this includes things like sitemaps, user flows, wireframes, and information taxonomy. Help us build project timelines and stick to them. Together, with back-end developers, you define data models and APIs that support your scalable, flexible front end applications. Collaborate with a team of world-class autonomy, machine learning, and full-stack experts on new feature development. Develop and evolve our automated inventory monitoring and data gathering solutions. Continuously improve the performance, robustness, and scalability of our web applications as we grow, and the footprint and generality of our product as it expands. Own and eliminate the technical debt that comes with startup growth and learning. Build and maintain build scripts, tooling, and unit testing fundamental to building a mature, easy-to-evolve, and release CI/CD application platform. Act as a trusted advisor and mentor to other team members (we are growing!)

Signals

Skill ml-engineer
0.14
Alias full-stack-engineer
1.00
KRA flutter-developer
0.57

Post-classification

Centroidupdated · n=212
Alias collision log
New-role queue
New skills captured4
New KRA captured

Captured for admin review

Web Application Development primary Fullstack Developer pending
Data Models primary Fullstack Developer pending
Build Scripts primary Fullstack Developer pending
Automation primary Fullstack Developer pending
Status: completed Created: 2026-05-27T14:26:37.516585Z Updated: 2026-05-27T14:27:44.511335Z API 3 duration: 10952 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

Fullstack Developer

CASE A

slug: full-stack-engineer · id: 15 · source: db

Exact alias hit on full-stack-engineer (1.0) — no other alias at this confidence; skill_top ml-engineer 0.14 does not contradict

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

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

Job description

Experience: 4.00 + years

Salary: INR 3000000-4800000 / year (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - Gather AI)

What do you need for this opportunity?

Must have skills required:

Chrome Dev Tools, Jest, State management, React Js, Rest APIs, ANT, CI/CD, Azure, Node Js, Python, Tailwind CSS

Gather AI is Looking for:

Roles and Responsibilities :

About You

We’re looking for a Lead Full Stack Application Engineer, where your expertise in front-end web app development takes flight in the exciting challenge of empowering flying robots (drones) to perform real, impactful work. You’ll contribute to the heartbeat of our AI-focused company by crafting and maintaining web applications that enable customers to seamlessly process visually gathered information, transforming it into actionable tasks and breathing life into our cutting-edge ML and autonomy technology. You’ll also dive into the core interfaces utilized by both customers and internal teams to review and refine data collected by our drones, synthesizing it into actionable insights while constructing tools that assess product performance and measure its value for customers, seizing opportunities for growth and learning. You'll have the opportunity to flex your CS fundamentals, seamlessly blending front-end expertise with occasional forays into back-end or full-stack tasks to bring your visionary ideas to life. Join us at Gather and be part of the revolution shaping the future of AI-driven solutions!

What You’ll Do

Define and implement new features, fixes, and improvements to our web application suite. This includes interfaces that map warehouse physical environments, build flight schedules, control flight progress, and help our customers view immediate data insights and trends based on flight results.

Help us define and refine our overall web systems information architecture - this includes things like sitemaps, user flows, wireframes, and information taxonomy.

Help us build project timelines and stick to them.

Together, with back-end developers, you define data models and APIs that support your scalable, flexible front end applications.

Collaborate with a team of world-class autonomy, machine learning, and full-stack experts on new feature development. Develop and evolve our automated inventory monitoring and data gathering solutions.

Continuously improve the performance, robustness, and scalability of our web applications as we grow, and the footprint and generality of our product as it expands.

Own and eliminate the technical debt that comes with startup growth and learning.

Build and maintain build scripts, tooling, and unit testing fundamental to building a mature, easy-to-evolve, and release CI/CD application platform.

Act as a trusted advisor and mentor to other team members (we are growing!)

Requirements :

What You’ll Need

BS in Computer Science/Engineering or equivalent technical experience.

4+ years of interest and experience developing front end applications.

Comfort with the MERN ecosystem, including React.js, Node.js OR Python, Progressive Web Application frameworks (e.g. React), IndexedDB, Tailwind CSS, and Ant.d.

Experience with transforming user pain points into intuitive and delightful interfaces with or without the help of UI/UX designers.

Interest in designing before developing UI/UX interfaces using Miro/Figma and presenting them to customers and users to seek validation.

Experience working with CI/CD testing tools and releasing production software through the cloud ecosystems.

Extensive experience defining data models and APIs with back-end developers that can support scalable, flexible frontend applications.

Knowledge of and comfort with JS threading, callback, and unit testing best practices.

Good writing skills and a design-for-test ethos.

Customer obsession! We are a customer-obsessed company. If you are not already customer-obsessed, expect to become so!

Nice to Have

Some prior startup growth experience. We are a small but fast-growing company, and we are looking for candidates who are ready to grow their skills with us.

Interest and proficiency in developing rich, possibly event-driven APIs involving multiple concurrent users (and drones!)

GraphQL and gRPC experience - we have rich views on data and are considering these technologies.

Compensation And Benefits

Salary: 30-50 LPA

Flexible schedule

Unlimited paid leave

Remote work & home office stipend

Wellness benefits

If this sounds like a good fit we’d love to meet you. Robotics is the future and we’re leading the charge with our software-only business model. Come help us change the world!

How to apply for this opportunity?

• Register or login on our portal & fill out the application form.
• Clear the given Video Screening (30 min) and Click on 'Apply' to get shortlisted
• Once it's all done, your profile will be shared with the client for the Interview round.
• When selected, just meet the client and get your exciting career started!



About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Skills from this JD

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

Web Application Development 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
Web Frameworks
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
APIs Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: APIs id=1192 · apis

Aliases — catalog

  • APIs (CANONICAL)

Context tags (catalog)

API Gateway Endpoint GraphQL JSON JWT Microservices OAuth Postman REST Rate Limiting SOAP Swagger Throttling Webhooks XML

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Application Programming Interfaces
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: APIs are a hiring-pipeline staple across backend, mobile, and platform JDs; REST/GraphQL/API design appears in large volumes of job postings and vendor docs, indicating broad adoption.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
902
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Data Models 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
Data Engineering Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Machine Learning Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Machine Learning id=1356 · machine-learning

Aliases — catalog

  • Machine Learning (CANONICAL)

Context tags (catalog)

Keras PyTorch TensorFlow cross-validation data preprocessing ensemble methods feature engineering hyperparameter tuning model evaluation natural language processing neural networks reinforcement learning scikit-learn supervised learning unsupervised learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Machine Learning
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Machine Learning appears in large volumes of job descriptions across data, product, and platform roles, and major cloud vendors (AWS, Google Cloud, Azure) offer dedicated ML services and certifications, indicating broad adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1024
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • AI Governance and Model Security Catalog dimension db id 50

    Library dimension (catalog)

    Roles linked in library: AI Engineer, ML Engineer, MLOps Engineer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
AI Governance and Model Security
ai-governance-and-model-security
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CI/CD id=1190 · ci-cd

Aliases — catalog

  • CI/CD (CANONICAL)

Context tags (catalog)

Ansible CircleCI Docker GitLab CI Jenkins Kubernetes Terraform Travis CI automated testing build automation continuous deployment continuous integration deployment pipelines monitoring version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Ci Cd Process
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: CI/CD appears in a large share of software engineering JDs and is a standard requirement across DevOps, platform, and backend roles; major vendors like GitHub, GitLab, and AWS all center product roadmaps on CI/CD pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
900
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Unit Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Unit Testing id=517 · unit-testing

Aliases — catalog

  • Unit Testing (CANONICAL)

Context tags (catalog)

JUnit NUnit TDD arrange-act-assert assertions code coverage fixtures mocking pytest regression stubs test cases test doubles test runner xUnit

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Testing Methodology
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Unit testing is a standard hiring requirement across software JDs and appears in mainstream frameworks/docs; GitHub and Stack Overflow usage remain consistently high, with no successor replacing it.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
44
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Build Scripts 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
Infrastructure Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Automation 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
Infrastructure Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
APIs in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Machine Learning in_db
AI Governance and Model Security
ai-governance-and-model-security
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Machine Learning in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Unit Testing in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Web Application Development | type=Web Frameworks subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Data Models | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Build Scripts | type=Infrastructure Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Automation | type=Infrastructure Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleLead Full Stack Application Engineer
CompanyGather AI
Experience4+ years of interest and experience developing front end applications.
CTC{'max': 4800000, 'min': 3000000, 'raw': 'INR 3000000-4800000 / year', 'period': 'annual', 'currency': 'INR'}
DomainSoftware & SaaS Products
Location India (remote)
JD type pass
Show raw JSON
{
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  "about_company": {
    "source_marker": {
      "first_5_words": "About Uplers: Our goal is",
      "last_5_words": "during the engagement."
    },
    "text": "About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.",
    "word_count": 64
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  "certifications": [],
  "company_name": "Gather AI",
  "ctc": {
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      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Computer Science/Engineering (or equivalent)",
      "raw": "BS in Computer Science/Engineering or equivalent technical experience.",
      "requirement": "required"
    }
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  "experience": {
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      "word_count": 218
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  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
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      "is_primary": true,
      "skill_name": "Web Application Development"
    },
    {
      "is_primary": true,
      "skill_name": "APIs"
    },
    {
      "is_primary": true,
      "skill_name": "Data Models"
    },
    {
      "is_primary": false,
      "skill_name": "Machine Learning"
    },
    {
      "is_primary": true,
      "skill_name": "CI/CD"
    },
    {
      "is_primary": true,
      "skill_name": "Unit Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Build Scripts"
    },
    {
      "is_primary": true,
      "skill_name": "Automation"
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  "jd_role": {
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    "slug": ""
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  "nano_parsed": {
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  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 1.0,
        "slug": "full-stack-engineer",
        "total_count": null
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    ],
    "kra_match_roles": [
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
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          },
          {
            "kra_text": "optimize responsiveness and performance",
            "sentence": "Continuously improve the performance, robustness, and scalability of our web applications as we grow, and the footprint and generality of our product as it expands.",
            "similarity": 0.5333
          }
        ],
        "matched_count": null,
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        "kra_matches": [
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          },
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            "kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
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        "matched_count": null,
        "matched_skills": null,
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      },
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          {
            "kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
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        ],
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      {
        "display_name": "Frontend Developer",
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    "skill_match_roles": [
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  "stage4_decision": {
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    "case": "A",
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    "confidence": 1.0,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [],
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    "new_role_display_name": null,
    "new_role_slug": null,
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    "reasoning": "Exact alias hit on full-stack-engineer (1.0) \u2014 no other alias at this confidence; skill_top ml-engineer 0.14 does not contradict",
    "sub_role": null
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  "stage5_updates": {
    "centroid_n_after": 212,
    "centroid_updated": true,
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    "new_kra_attached": null,
    "new_skills_attached": [
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}
API 2 — extract-details
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      "matched_via": "alias"
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        "sub_category_id": 44,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Unit Testing",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Unit Testing",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Build Scripts",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Infrastructure Tools",
          "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": "build-scripts",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Automation",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Infrastructure Tools",
          "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": "automation",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Web Application Development",
    "Data Models",
    "Build Scripts",
    "Automation"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Fullstack Developer",
    "id": 15,
    "rationale": "Exact alias hit on full-stack-engineer (1.0) \u2014 no other alias at this confidence; skill_top ml-engineer 0.14 does not contradict",
    "role_archetype": null,
    "slug": "full-stack-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Web Application Development",
      "tag": "new"
    },
    {
      "skill": "APIs",
      "tag": "in_db"
    },
    {
      "skill": "Data Models",
      "tag": "new"
    },
    {
      "skill": "Machine Learning",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "Unit Testing",
      "tag": "in_db"
    },
    {
      "skill": "Build Scripts",
      "tag": "new"
    },
    {
      "skill": "Automation",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "APIs",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1192,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "AI Governance and Model Security",
          "id": 50,
          "rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
          "slug": "ai-governance-and-model-security",
          "source": "db"
        },
        "dimension_id": 50,
        "input_skill": "Machine Learning",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "AI Engineer",
            "id": 13,
            "rationale": null,
            "role_archetype": null,
            "slug": "ai-engineer",
            "source": "db"
          },
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1356,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Machine Learning",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1356,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "CI/CD",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1190,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
          "id": 56,
          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
        "input_skill": "CI/CD",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1190,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Unit Testing",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 517,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "0d5f1d73-508e-49ac-bc60-8671b1857c48"
}

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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