Multi-Agentic Pipeline
Architecture and agent registry of the Qubitz AI multi-agent research pipeline.
Multi-Agent Pipeline
Pipeline Architecture
The Deep Analysis engine is a multi-agent orchestration system that coordinates specialized AI agents through a sequential-parallel execution pipeline. The system processes business context through six distinct phases, each handled by one or more agent types.
The pipeline follows this high-level flow:
SYSTEM (init)
→ RESEARCHER: PLANNING (strategy)
→ AGENT: RESEARCH (initial research, ~2 min)
→ AGENT: RESEARCH (parallel subtopic research, ~2 min)
→ AGENT: STRUCTURED_WRITER + AGENT: WRITER (parallel report generation, ~2.5 min)
→ AGENT: DUAL_PUBLISHER (publishing, ~30s)
→ STEP: REVIEW → Use Case Generator (streaming, ~1 min)
Total wall-clock time: approximately 6-8 minutes.
Agent Registry
The pipeline employs 7 distinct agent types. Each agent has a specific role, operates within a defined phase, and produces measurable output.
| Agent Identifier | Type | Phase | Role | Output |
|---|---|---|---|---|
| SYSTEM | Infrastructure | 1, 2, 5 | Connection management, status updates, pipeline coordination between phases | Status messages, connection state |
| RESEARCHER: PLANNING | Orchestrator | 1 | Plans the overall research strategy, decomposes the analysis into actionable subtasks based on the business context | Research plan with subtask definitions |
| AGENT: RESEARCH | Worker | 2, 3 | Conducts web research -- crawls company website, gathers market intelligence, investigates subtopics in parallel | Raw research data, market analysis, competitive intelligence |
| AGENT: STRUCTURED_WRITER | Worker | 4 | Generates the structured AI Discovery Report using a predefined template with decision matrices, architecture diagrams, risk heatmaps, and scoring rubrics | AI Discovery Report PDF (~16 pages, ~24,087 chars) |
| AGENT: WRITER | Worker | 4 | Writes the comprehensive Deep Research Report with narrative sections, data tables, citations, and strategic recommendations | Deep Research Report PDF (~25+ pages, ~55,867 chars) |
| AGENT: DUAL_PUBLISHER | Publisher | 5 | Publishes both reports in their final formats -- standard (Deep Research) and structured (AI Discovery) | Published PDF artifacts with version tracking |
| STEP: REVIEW | Controller | 5, 6 | Reviews all compiled research, validates completeness, triggers the use case generation phase | Validated research package, use case generation trigger |