Sail JADA — Engineering Log

Technical work on sailjada.com and the JADA booking systems

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Building Multi-Perspective Executive Intelligence: Automated Report Generation Across Four Business Entities

During this development session, we built and deployed an automated executive reporting system that generates five domain-specific strategic analyses across our portfolio of four business entities (JADA, QueenofSanDiego, QuickDumpNow, DangerousCentaur) plus three ancillary revenue streams. The system synthesizes operational, technical, financial, and marketing intelligence into actionable C-suite briefings using AWS SES for delivery.

What Was Done

We created two Python report generation scripts—/Users/cb/Documents/repos/tools/send_exec_reports.py and send_exec_reports_2.py—that generate and distribute five specialized reports:

  • CEO Report: Full asset inventory, critical shortfalls across all entities, missing KPIs, 30-day prioritized agenda
  • CTO Report: Stack-by-stack technical audit, security hardening gaps, infrastructure cost analysis, UX gaps, development cycle improvements
  • Accounting Report: Revenue recognition issues, chart of accounts, expense audit, profitability roadmap through Q1 2027
  • CMO Report: Channel visibility matrix, blast campaign modeling, OTA sequencing strategy, local SEO roadmap
  • CFO Report: Burn rate modeling, capital deployment framework, break-even analysis, monthly revenue targets

We then created three additional domain-specific reports for:

  • Rental Operations Officer: 3028 51st St property portfolio analysis
  • Logistics Director: Expert Yacht Delivery operational and financial assessment
  • Client Portfolio Manager: DangerousCentaur billing gap and relationship audit

Technical Details

Email Infrastructure & SES Configuration

The report delivery system leverages AWS SES (Simple Email Service) with verified sender addresses from our environment configuration. Rather than hardcoding credentials, we read SES variables from /repos.env at runtime:


# Configuration read from repos.env
SES_REGION = us-west-2
SES_FROM_ADDRESS = admin@queenofsandiego.com
RECIPIENT_EMAIL = c.b.ladd@gmail.com

This approach allows environment-specific configuration without embedding secrets in code. The send_exec_reports.py script iterates through report definitions, renders each as formatted text, and dispatches via the boto3 SES client with BCC capability for audit trails.

Report Generation Architecture

Each report follows a structured template:

  • Executive Summary: 3–5 paragraph overview of the current state
  • Critical Findings: 6–10 prioritized shortfalls or gaps
  • KPI Dashboard: Current vs. target metrics specific to the domain
  • 30/60/90-Day Roadmap: Sequential action items with dependencies
  • Risk Assessment: Prioritized risks and mitigation strategies
  • Resource Requirements: Budget, headcount, or tool needs

This consistent structure allows stakeholders to quickly navigate across reports and correlate findings. For example, the CTO's infrastructure cost optimization aligns with the CFO's capital deployment framework, while the CMO's marketing spend assumptions feed the CEO's profitability targets.

Key Findings Across Entities

The multi-perspective analysis revealed critical alignment issues:

  • Revenue Tracking Gap: QueenofSanDiego operates with no centralized booking-to-payment pipeline; manual invoicing and no OTA integration
  • Technical Debt: Hardcoded Stripe API keys in Lambda environment variables, plaintext repos.env in version control, unauthenticated Google Apps Script endpoints handling financial data
  • Marketing Disconnect: 3,676 persons on mailing list with zero blast campaign infrastructure; CMO report recommends immediate concert booking pilot at $10K–50K ACV
  • Infrastructure Cost Leakage: Unused resources and suboptimal S3/CloudFront configuration; potential $25/month savings identified
  • Financial Control Void: No accounting system, no chart of accounts, no expense categorization; burn rate estimated $7–9K/month with no visibility into profitability per charter

Infrastructure & Deployment Context

During this session, the primary technical work involved hardening the Ship Captain Crew Lambda microservice and frontend:

  • Lambda Function: /sites/queenofsandiego.com/tools/shipcaptaincrew/lambda_function.py — underwent 10+ iterations to implement JWT authentication, magic link workflows, role designation, waiver page logic, and EventBridge integration
  • Frontend: /sites/queenofsandiego.com/tools/shipcaptaincrew/frontend/index.html — updated with timing panel, checklist submission, role claim modal, and waiver acceptance flows
  • S3/CloudFront: Frontend deployed to S3 bucket (exact bucket name in deployment scripts), CloudFront distribution invalidated post-deployment
  • EventBridge Cron: Scheduled nudge rule for event reminders with Lambda as target
  • DynamoDB: Direct table operations for magic link short codes and role state management

This context matters for the CTO report's recommendations: the Lambda function should move hardcoded JWT_SECRET to AWS Secrets Manager, implement WAF rules on CloudFront, and add CI/CD gates before deployment to prevent configuration drift.

Key Decisions & Rationale

Report Distribution via Email vs. Dashboard: Email delivery allows instant C-suite access without requiring new tool adoption. Each report is text-formatted for readability on mobile and desktop, with BCC to audit inbox ensuring archival without requiring a separate logging system.

Multiple Specialized Perspectives: Rather than a single "all-in-one" report, we created role-specific briefs because:

  • A CEO cares about asset gaps and profitability; they don't need infrastructure bill details
  • A CTO needs security hardening and UX patterns; they don't need marketing spend allocation
  • A CFO needs burn rate and break-even; they don't need technical debt prioritization

This segregation reduces cognitive load and enables faster decision-making per stakeholder.

Inclusion of Auxiliary Entities: The rental property, logistics arm, and client portfolio are separately analyzed because each has distinct revenue models, cost structures, and strategic priorities. Aggregating them would obscure root causes of underperformance.

What's Next

  • Automated Report Scheduling: Implement a CloudWatch Events rule to trigger report generation weekly or monthly (not yet deployed; requires Lambda wrapper with IAM role)
  • Dashboard Integration: Wire report creation timestamps and key metrics into internal progress dashboard for stakeholder visibility
  • Security Hardening: Migrate Lambda environment variables to Secrets Manager, add WAF rules to CloudFront distributions,