Project 11 / Data & AI systems
No-Code Diagnostic Tool Platform
A relational diagnostic platform with adaptive forms, identity separation, anonymized aggregation and controlled reporting.
01 / Problem
Multi-user assessments require careful relational modeling, privacy separation and reliable aggregation before an executive report can exist.
02 / System
Designed as a controlled operational pipeline.
Five workflows cover adaptive intake, assessment mapping, anonymized LLM aggregation, calculated status updates and CEO-only Markdown reporting.
Three participants aggregated
Clear names excluded from analysis
One report routed to the initiating CEO
03 / Reliability controls
What keeps the system honest.
04 / Verification
Five actual n8n workflows
All five active n8n workflows passed actual webhook execution, including replay and outage behavior.
This is a locally verified engineering demonstration using synthetic data and controlled service adapters. It is not described as a production client deployment unless live evidence is added later.
Inspect the implementation.
Sanitized exports and test artifacts from this demonstration. No credentials or client data are included.
Validation, routing and replay-safe intake.
Open file JSONAssessment mapping workflowNormalized participant answer records.
Open file JSONAnonymized aggregation workflowIdentity separation and structured LLM output.
Open file JSONRule update workflowControlled recalculation after data changes.
Open file JSONCEO report workflowRole-gated Markdown report generation.
Open file SQLRelational data model15-table relational model and constraints.
Open file JSONForm specificationsAdaptive intake and assessment contracts.
Open file JSONMachine-readable executionActual webhook responses from five workflows.
Open file