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