How it works

A 67-subagent extraction engine, in 7 dependency-ordered tiers.

Career Talent Extractor classifies a source, dispatches the right subagents, and runs them tier-by-tier — facts first, meta synthesis last — then generates finished job-search content from the assembled knowledge base. Explore the fleet below.

67subagent prompts
8analytical tiers (0–7)
8source types
9dispatcher agents
5INIT phases

7 analytical tiers + Tier 0

Dependency-ordered. Tier 1 establishes facts; Meta (Tier 7) synthesizes them; Tier 0 generates content post-aggregation.

Provenance:AA+BB-new
Tier 1 — FactualEstablishes the ground truth: numbers and chronology.10

Quantitative

  • Revenue & Cost ImpactA+B
  • Scale MetricsA
  • Performance NumbersA
  • Team & Organization MetricsA
  • Delivery & Timeline MetricsA
  • Infrastructure MetricsA

Temporal

  • Career Timeline ReconstructionA+B
  • Skill Evolution TrackingA
  • Role Progression EvidenceA
  • Technology Adoption PatternsA
Tier 2 — Hard SkillsTechnical competency depth across nine domains.9

Skill Domain

  • Programming Languages & FrameworksA+B
  • System Design & ArchitectureA+B
  • ML/AI & Data ScienceA+B
  • Infrastructure & DevOpsA+B
  • Security & ComplianceA+B
  • Performance & OptimizationA
  • Database & Data EngineeringA+B
  • Frontend & UX EngineeringA
  • Code Quality & Engineering HygieneB-new
Tier 3 — Soft SkillsBehavioral and interpersonal evidence.9

Soft Skills

  • Leadership StyleA+B
  • Communication QualityA+B
  • Stakeholder ManagementA+B
  • Mentoring & TeachingA+B
  • Conflict ResolutionA
  • Decision Making Under UncertaintyA
  • Cross-functional CollaborationA+B
  • Adaptability & Learning AgilityA+B
  • Initiative & OwnershipB-new
Tier 4 — NarrativeInterview-ready stories built on the factual layer.9

Narrative

  • STAR Interview StoriesA+B
  • Failure & Recovery NarrativesA+B
  • Scale & Growth StoriesA+B
  • Innovation & Creativity EvidenceA
  • Cost Optimization StoriesA
  • Crisis Management MomentsA
  • Customer Impact StoriesA
  • Origin & Motivation NarrativesA
  • Unique DifferentiationB-new
Tier 5 — Role-SpecificEleven role lenses; the Universal Baseline always runs.11

Role-Based

  • CTO / VP Engineering LensA+B
  • Staff / Principal Engineer LensA+B
  • Engineering Manager LensA+B
  • Technical Product Manager LensA
  • Solutions Architect LensA+B
  • Developer Advocate LensA
  • Founding Engineer LensA+B
  • Technical Consultant LensA+B
  • Senior IC Engineer LensA+B
  • DevOps / Platform Lead LensB-new
  • Universal Baseline (Catch-All) LensB-new
Tier 6 — Industry / DomainVertical-specific domain knowledge.7

Industry

  • PropTech / Real Estate TechA+B
  • Enterprise B2BA+B
  • Startup LifecycleA
  • Hardware / IoT IntegrationA+B
  • ML in ProductionA
  • AdTech / MarketplaceB-new
  • FinOps & Cloud Cost OptimizationB-new
Tier 7 — MetaSynthesizes all prior tiers + Phase-0 provenance.6

Meta

  • Consistency & Reliability TrackerA
  • Adaptability AssessorA
  • Strategic Thinking EvaluatorA
  • Cultural Fit ProfilerA
  • Red Flag DetectorA
  • Cross-Source Correlation EngineA
Tier 0 — Content GenerationPost-aggregation. Not source-gated — runs on the assembled KB via /advise.6

Content Generation

  • Resume Bullet GeneratorB-new
  • LinkedIn Posts & Profile ContentB-new
  • Technical Blog Post SeedsB-new
  • Interview Prep GeneratorB-new
  • Cover Letter Ammunition GeneratorB-new
  • Portfolio & Case-Study WriteupsB-new
Phase 0 ProvenanceClassify sourceDispatch subagents7-tier extractionAggregate + dedupTier 0 /advise