Sail JADA — Engineering Log

Technical work on sailjada.com and the JADA booking systems

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Building a Multi-Stakeholder Executive Reporting System Across 4 Maritime/Logistics Entities

Over the past development session, we built and deployed a comprehensive executive reporting infrastructure that generates five distinct analytical reports—each tailored to a different C-suite perspective—across four separate business entities (JADA, QueenofSanDiego, QuickDumpNow, DangerousCentaur) plus three additional portfolio assets. This post walks through the technical architecture, deployment decisions, and integration patterns used to deliver actionable intelligence to leadership.

What Was Done

We created a Python-based reporting pipeline that generates five specialized executive reports and delivers them via Amazon SES, then extended it to cover three additional entities. The reports were:

  • CEO Report — Full asset inventory, revenue gaps, equity risks, and 30-day priority agenda
  • CTO Report — Technology stack audit, security hardening checklist, cost optimization, UX gaps
  • Accounting Report — Chart of accounts, revenue recognition issues, expense audit
  • CMO Report — Marketing channel visibility matrix, OTA (online travel agent) deployment sequence
  • CFO Report — Burn rate model, capital deployment framework, break-even analysis

Additionally, we identified three portfolio assets requiring standalone reporting: 3028 51st St Rental (residential income property), Expert Yacht Delivery (logistics/delivery service), and DangerousCentaur Client Portfolio (billing gap audit).

Technical Architecture

Report Generation Pipeline

The core implementation lives in two Python modules:

  • /Users/cb/Documents/repos/tools/send_exec_reports.py — Primary report generation and SES dispatch
  • /Users/cb/Documents/repos/tools/send_exec_reports_2.py — Extended variant for additional entity coverage

Each script:

  • Reads SES credentials from repos.env (AWS_SES_ACCESS_KEY, AWS_SES_SECRET_KEY, AWS_SES_REGION)
  • Constructs multi-part MIME messages with narrative sections, KPI tables, and action items
  • Uses hardcoded sender admin@queenofsandiego.com (pre-verified in SES console)
  • Dispatches to primary recipient c.b.ladd@gmail.com with BCC to operational inboxes
  • Logs delivery status for audit and troubleshooting

We verified SES variable names in repos.env before execution to ensure the from-address variables resolved correctly. The sender domain must be verified in AWS SES console; we confirmed this was already done for queenofsandiego.com.

Report Content Structure

Each report follows a consistent narrative pattern:

  1. Executive Summary — 2–3 key findings per report type
  2. Entity-by-Entity Audit — For CEO/CTO, detailed breakdowns of JADA, QOS, QDN, DC
  3. Gap Analysis — Missing capabilities, tools, processes
  4. KPI Recommendations — Which metrics to track (CEO: 9 KPIs; CFO: burn rate, charter count, revenue targets)
  5. Prioritized Action Items — Ranked by impact and effort (30/60/90-day roadmaps where appropriate)

The CTO report, for example, includes:

  • Stack inventory (Python Lambda + DynamoDB, React frontend, S3 static hosting, CloudFront CDN)
  • 6 security hardening items (move hardcoded keys to Secrets Manager, encrypt repos.env, add WAF to CloudFront)
  • Cost breakdown (~$50–84/month AWS; ~$25/month savings identified through reserved capacity and S3 lifecycle)
  • 10 engineering priorities (CI/CD pipeline, staging environment, rollback procedures, analytics instrumentation)

Infrastructure & Integration Points

SES Configuration

Amazon SES is the delivery mechanism. The setup requires:

  • Sender verification: Domain queenofsandiego.com verified via DKIM/SPF records in Route53
  • Access keys: IAM user with ses:SendEmail permission (stored in repos.env, not in code)
  • Recipient constraints: During sandbox mode, all recipient addresses must be individually verified; production mode lifts this restriction

We checked the dashboard task creation output to confirm SES integration with project management tools. Task creation commands were run to log report delivery milestones to the progress kanban board.

Dynamic Content Source: Project Handoffs Wiki

Report data was sourced from:

  • /Users/cb/Documents/repos/agent_handoffs/projects/shipcaptaincrew.md — ShipCaptainCrew project state
  • Global wiki index listing all 4 primary entities
  • SES verification and credential checks from repos.env environment

Each report references actual URLs, Lambda function names, and database tables used in production:

  • Lambda: shipcaptaincrew (San Diego yacht charters core service)
  • Frontend S3 bucket: queenofsandiego.com-frontend
  • CloudFront Distribution: Covers both SCC frontend and asset delivery
  • DynamoDB tables: events, users, checklist_state (SCC-specific)

Key Technical Decisions

1. Separate Report Scripts vs. Unified Pipeline

Decision: Created two variants (send_exec_reports.py and send_exec_reports_2.py) rather than one monolithic script.

Why: Allows independent tuning of report selection, recipient lists, and scheduling without risk of regression. The secondary script can run on a different cron schedule or be triggered by different business events (e.g., month-end for accounting, sprint-end for engineering).

2. Hardcoded Sender vs. Dynamic From-Address

Decision: Hardcoded sender as admin@queenofsandiego.com.

Why: SES requires the sender domain to be pre-verified. Using a single verified sender simplifies operations and ensures deliverability. Recipient addresses are parameterized; sender is fixed for production stability.

3. Multi-Part MIME with Plain Text + HTML Fallback

Decision: Construct both text and HTML versions of each report.

Why: Ensures readability across mail clients (some strip HTML, some strip plain text). Tables, formatting, and