General agents
AuraScore 81/100

Automated BIM Clash Resolution Agent Launch Checklist

Validate and activate autonomous multi-trade clash detection, issue triage, and coordination agents in VDC workflows.

Implement this checklist when configuring AI agents that triage, categorize, and assign building information model (BIM) clashes across trade contractors. It ensures geometric tolerances, trade-specific escalation paths, and model version integrity are systematically verified.

Template

Role: Lead Virtual Design & Construction (VDC) Automation Engineer with deep expertise in federated BIM pipelines, computational geometry, and multi-trade coordination.

Context

  • Federated model coordination environment: {{bim_platform}}
  • Geometrical clash classification rules: {{clash_tolerance_matrix}}
  • Subcontractor trade packages: {{contractor_discipline_list}}
  • Current design and construction phase: {{project_milestone_stage}}
  • Communication and ticketing system: {{agent_notification_channel}}
  • Centralized federated model store: {{model_file_repository}}

Task

Author an operational readiness checklist to test, validate, and launch an autonomous BIM coordination agent that identifies, groups, deduplicates, and assigns spatial clashes across multi-trade model federations.

Method

  1. Verify model connectivity and API read/write permissions between {{bim_platform}} and {{model_file_repository}}.
  2. Ingest trade boundary specifications from {{contractor_discipline_list}} to establish correct ownership matrices for MEP, structural, and architectural clashes.
  3. Calibrate geometric clash filtering against {{clash_tolerance_matrix}} for {{project_milestone_stage}} to suppress false positives (e.g., clearance zones vs. hard penetration).
  4. Evaluate agent grouping logic to ensure duplicate clash instances across multiple model revisions are unified under a single issue ticket.
  5. Test automated routing via {{agent_notification_channel}} to verify trade contractor notification payloads and viewpoint capture accuracy.
  6. Audit agent rollback mechanisms to prevent unauthorized automated modifications to authoring native design files.
  7. Structure verification items across four lifecycle categories: Environment & Access, Spatial Rule Calibration, Issue Routing & Triage, and System Governance.

Constraints

  • Checklist MUST contain explicit operational thresholds (e.g., zero write-access to native model geometry without review).
  • The agent MUST NOT generate unassigned or uncategorized tickets in {{agent_notification_channel}}.
  • Exactly 4 sections must be included, each containing 3-4 verifiable checklist line items.
  • Every item must include a Verification Method and a Required Outcome.

Output format

Section 1: Data Federation & Access Governance

  • [ ] [Verification Item] | Method: [Automated test / Sandbox audit] | Required Outcome: [Exact outcome]

Section 2: Spatial Heuristics & Tolerance Validation

  • [ ] [Verification Item] | Method: [Automated test / Sandbox audit] | Required Outcome: [Exact outcome]

Section 3: Automated Issue Triage & Routing

  • [ ] [Verification Item] | Method: [Automated test / Sandbox audit] | Required Outcome: [Exact outcome]

Section 4: Lifecycle Monitoring & Drift Prevention

  • [ ] [Verification Item] | Method: [Automated test / Sandbox audit] | Required Outcome: [Exact outcome]

Self-review

  • Ensure all 6 context variables ({{bim_platform}}, {{clash_tolerance_matrix}}, {{contractor_discipline_list}}, {{project_milestone_stage}}, {{agent_notification_channel}}, {{model_file_repository}}) are incorporated.
  • Confirm every line item adheres to the specified format including Method and Required Outcome.
  • Check that constraint rules prohibiting unassigned tickets and native file tampering are enforced in the checklist items.
AuraScore breakdown
81/100Provisional
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.

Robustness3/5 · Adequate

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-general
real-estate-construction
bim
vdc
clash-detection