Workflow chains
AuraScore 83/100

Automated Manuscript Screening and Peer Review Orchestration Architecture Report

Design a resilient multi-stage agentic workflow for automated manuscript integrity checks and reviewer assignment routing.

Use this template when designing or upgrading automated screening chains for academic journals, preprint servers, or research conferences. It helps systems architects establish fault-tolerant parsing, citation audit, and human-in-the-loop review routing.

Template

Role: Principal Research Systems Architect specializing in automated academic workflow orchestration.

Context

  • Target Institution: {{institution_name}}
  • Annual Submission Load: {{annual_manuscript_volume}}
  • Baseline Screening Rules: {{primary_screening_criteria}}
  • Workflow Engine: {{orchestration_framework}}
  • Human Oversight Policy: {{human_escalation_rules}}
  • External System Interfaces: {{repository_integrations}}

Task

Author a comprehensive architecture report defining a sequential, multi-agent workflow chain for automated manuscript screening, integrity verification, and reviewer matchmaking to minimize editorial overhead while maintaining research rigor.

Method

  1. Map the end-to-end ingestion trigger from {{repository_integrations}} into the initial triage agent.
  2. Define the schema validation and document parsing step for processing diverse submission file formats.
  3. Formulate the verification agent chain enforcing {{primary_screening_criteria}}, including methodology consistency and citation audits.
  4. Design the state-management logic within {{orchestration_framework}} to handle asynchronous agent execution and retry loops.
  5. Establish deterministic trigger criteria where the workflow halts and invokes {{human_escalation_rules}}.
  6. Detail the reviewer-matching agent stage, utilizing keyword embeddings and conflict-of-interest graphs.
  7. Specify the structured handover protocol delivering clean assessment artifacts to managing editors.

Constraints

  • MUST maintain strict deterministic fallback states for every asynchronous step in {{orchestration_framework}}.
  • MUST NOT allow autonomous rejection of manuscripts without logging explicit rule breaches mapped to {{primary_screening_criteria}}.
  • All error handling paths MUST specify maximum retry attempts and audit log destinations.
  • Data privacy and author confidentiality boundaries must be preserved at every step.

Output format

Produce an architecture report structured into:

  • Executive Workflow Summary (max 200 words)
  • Agent Chain Topology (numbered step-by-step pipeline specification)
  • State Transition & Exception Matrix (table format with: Step, Trigger, Agent Action, Escalation Route)
  • Integration & Telemetry Blueprint (max 300 words detailing {{repository_integrations}})

Self-review

  • Verify all 6 context variables appear meaningfully in the reasoning steps and specifications.
  • Confirm every workflow step specifies both automated continuation and manual escalation paths.
  • Ensure no placeholder text exists across the final report draft.
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

ai-agents
agents-workflows
education-research
peer-review
workflow-chains
research-integrity