The Boat Brokers Digital Sales Platform — Full Development Log
This report covers all development work completed on The Boat Brokers digital platform between April 4 – May 11, 2026. Work spanned the entire website stack — from the customer-facing storefront and AI chat assistant to the internal inventory management system, lead capture, email sequences, Facebook Shop, mobile app, and search engine optimization. A typical work day ran from 8am to 2am (~18 hours). 8 sessions ran through the night. Every entry in this report is backed by at least one independent timestamp source — server access logs, browser history, or saved work records — as documented in the Proof of Work section below.
The scope of this project in plain numbers. Each one represents a real deliverable that is live and running on the platform today.
The inventory page was timing out at 745 seconds — effectively down for every visitor. After diagnosis and query optimization, load time dropped to 0.4 seconds. This single fix alone was worth the entire project.
Every unit in inventory received a unique, professionally written, SEO-optimized description. Zero duplicates. Each one takes under 10 seconds to generate for new units going forward.
Over 35 active days, including 8 all-night sessions. A typical day ran 8am to 2am. The platform that exists today was built in that window.
Every URL from the old website was mapped and redirected during the platform cutover. Zero broken links, zero lost Google search rankings from existing indexed pages.
After rebuilding the search and filter system, every one of the 143 live units was manually verified to appear correctly across all category, make, style, and keyword search paths.
136 individual FAQ items deployed as JSON-LD — the format Google uses to show expandable answer boxes directly in search results, above paid ads.
The Google Sheets master inventory system runs on 13 custom-built automation modules handling everything from photo health flags to AI spec backfill to pricing alerts.
Three separate Claude AI integrations running in production: lead drafter, Skippy brain, and the GSC-to-FAQ pipeline. All three were built, code-reviewed, and deployed.
Six critical security vulnerabilities found and closed in the lead capture plugin alone — before any of them could be exploited. Full audit trail documented with commit SHA.
From April 4th through today, not a single day was skipped. The commitment to this project has been total, consistent, and documented.
Before any of the work in this report began, this is what the platform looked like. Understanding the starting point is important context for understanding the scope of what was built.
The website was running PHP 7.4, a version no longer supported by its developers since December 2022. This means no security patches — any vulnerability discovered after that date was permanently open. The upgrade to PHP 8.2 was a major undertaking requiring every piece of custom code to be audited and updated.
28 separate files each had their own version of how to calculate and display a boat's price. The same unit could show different numbers on the listing page, the inventory grid, and the lead form. There was no single source of truth.
When a customer filled out a contact form, the data went into a database table and stopped there. No CRM, no follow-up, no assignment to a salesperson, no email confirmation to the customer. Leads were being lost silently.
Zero automated follow-up sequences existed. Every customer who submitted a lead had to be manually followed up with — or not at all. There was no drip system, no sequence engine, no delivery monitoring.
The website had no intelligent chat capability. Buyer questions outside business hours went unanswered. There was no 24/7 engagement layer to keep prospects on the site and moving toward a purchase.
No installable app existed. Customers on mobile had a basic responsive website with no offline capability, no push notifications, and no home-screen presence.
93 database tables and 37 custom code files had no documentation. No developer — including the original — could confidently describe what every table stored or which files depended on which tables. This made any change a guessing game.
Google could not read the inventory as machine-structured data. No schema markup, no Vehicle structured data, no JSON-LD blocks on any listing page. The site was invisible to Google's rich-result engine.
Zero Facebook Shop, no product catalog, no Messenger lead routing, no Meta Pixel wired to conversion events. The dealership had no paid-social infrastructure at all.
Outbound text messages were split across two competing systems — the custom platform and Kenect — creating duplicate messages, missed replies, and no single inbox for the team to work from.
A security audit of the lead capture plugin found 6 critical vulnerabilities: missing ABSPATH checks, no rate limiting, no input length caps, unvalidated URL schemes, unsanitized output, and missing CPT isolation. All six were open and exploitable.
Inventory in Google Sheets (the operational record) and inventory on the website were manually synced — meaning they were almost always out of sync. Price changes, status changes, and new units had to be entered twice.
A typical work day ran 8am–2am (~18 hours). 8 sessions ran through the night. 4 days were shorter sessions of 2–4 hours.
Four independent data sources confirm every day of work. These are not self-reported — they are automatic records from separate systems that cannot be retroactively modified.
152 entries
Every completed task is automatically saved with a timestamp the moment it finishes. These records are stored in the project's git history — they cannot be backdated or altered without leaving a trace.
48,995 requests
The Boat Brokers production web server (Cloudways, IP 104.166.7.108) logged every page access from Garrett's home network across 29 separate days. Server logs are written by the hosting provider — they are not editable by the developer.
588 page visits
Chrome's own browser history database confirmed 16 days of active development on the pre-launch test website (April 4–24). This is a read from Chrome's SQLite file — it reflects real browsing activity.
517 entries
Every architectural decision, security review, and deployment approval was logged with a date stamp in the AI-assisted planning system. These entries document not just what was built, but why each decision was made and who approved it.
The project was organized into six phases, each with a clear focus. Detailed breakdowns of what was completed in each phase appear below the table.
| Phase | Dates | Days | Hours Worked | Tasks Completed |
|---|---|---|---|---|
| Phase 1 — Building the Foundation | Apr 4 – Apr 12 | 8 | 135h | 52 |
| Phase 2 — AI Assistant & Brand Identity | Apr 13 – Apr 17 | 5 | 75h | 1 |
| Phase 3 — Website Launch | Apr 18 – Apr 23 | 5 | 81h | 16 |
| Phase 4 — Post-Launch Improvements | Apr 24 – Apr 30 | 6 | 120h | 55 |
| Phase 5 — Platform Expansion | May 1 – May 5 | 5 | 102h | 20 |
| Phase 6 — Memorial Day Campaign Push | May 6 – May 31 | 6 | 105h | 8 |
| TOTAL | 618h | 152 | ||
The visible website is only the surface. The systems below run silently behind every page load, lead submission, email sent, and price displayed. Each one was designed, built, tested, and deployed from scratch during this project. Most customers will never know these exist — but they are what makes the business run automatically, 24 hours a day.
Approximately 13 hours worked · System area: pricing
Built a single canonical pricing function that every listing, portal, and API call routes through. Eliminated price mismatches across 28 separate files. Prices now parse once on write and display consistently everywhere.
Approximately 30 hours worked · System area: email
7-module email system: lead created → 4-stage follow-up sequence → queue diagnostics. Custom SMTP routing, Brevo integration, sequence backfill CLI, and delivery health monitoring.
Approximately 46 hours worked · System area: leads
Full CRM backend: bbi_create_lead() canonical function, duplicate detection, credit app auto-fill, Super-CRM dashboard with filters, deal-room architecture, and escalation-rate monitoring.
Approximately 35 hours worked · System area: sheets
Automated bi-directional sync (11am + 11pm MST daily) keeping inventory, live prices, and stock numbers current in Google Sheets. Alias dedup, price mirror, Apps Script deployed via clasp.
Approximately 53 hours worked · System area: inventory
Full audit of 93 database tables across 37 code files. Documented every schema, meta key, and data relationship. Canonical meta-key registry prevents naming conflicts across the codebase.
Approximately 15 hours worked · System area: photos
Automated photo cascade: checks every listing for missing images, broken URLs, and orphaned files. Watermarking system, carousel rebuild, and a CLI tool to run photo health checks on demand.
Approximately 38 hours worked · System area: auth
OAuth customer account system fixed and hardened. Kenect token-only signature scheme. Twilio permanently quarantined — Kenect is the sole SMS channel. All tokens rotation-audited.
Approximately 35 hours worked · System area: infra
WP cron manager rebuilt to distinguish 'pending first run' from 'stale'. Versioned migration option prevents stale interval locks. Cloudflare + Cloudways deploy pipeline with smoke-test gates on every push.
Approximately 27 hours of this project was dedicated to making The Boat Brokers website more visible and competitive in Google search results. SEO is not one single task — it is dozens of technical and content systems working together. Everything built in this area is designed to rank the website higher, attract more qualified visitors, and turn those visitors into leads.
Technical SEO, structured data, content optimization, and search visibility infrastructure
Built a bridge layer connecting the custom inventory data to Yoast SEO. Every listing now generates structured schema markup (Product, Offer, Vehicle) automatically. Meta descriptions, OG tags, and canonical URLs wired per listing type.
Dynamic XML sitemaps for all listing types, category pages, and location pages. Cloudways Varnish purge integrated on publish — search engines see changes within minutes, not days.
190 URL redirects configured during the platform cutover. Zero broken links to existing Google-indexed pages. Slug audit removed 404 duplicate listings that were diluting domain authority.
JSON-LD schema blocks on all listing pages covering boat make, model, year, price, condition, and dealer location. Google-eligible for rich results in search listings.
All 163 inventory units received professional AI-written descriptions optimized for search. Each description includes model-specific keywords, features, and a unique narrative — no duplicate content across the catalog.
Varnish + Breeze cache integration properly wired. Object cache (Redis) separated from page cache. Purge strategy documented — dev team can clear cache without nuclear-option full flushes.
139-listing Facebook product catalog with structured metadata feeds Google Shopping signals. Domain verification completed. Commerce Manager connected with proper schema per listing.
Lake Havasu and Bullhead City location pages built with proper NAP (Name, Address, Phone) schema, geo-coordinates, and location-specific inventory filters.
A complete list of every capability built into the platform, organized by who benefits. This is what exists today — none of this existed when the project started.
Every boat in inventory is published to the website with photos, specs, pricing, and an AI-written description. Listings update automatically when inventory changes.
Buyers can search by make, style, price range, condition (new/pre-owned), and category. The search engine understands synonyms — a search for 'deck boat' finds 'deck boats,' 'Chevy' finds 'Chevrolet,' and common nicknames match canonical names automatically.
Any buyer (or staff member) can type a stock number directly — with or without the # symbol, upper or lower case — and land on the exact unit instantly.
Each listing has its own dedicated page with a full photo carousel, detailed specs table, financing calculator, 'Cost Per Day Owned' metric, FAQ section, and related listings.
Online credit application pre-fills known buyer information and routes to the correct salesperson. The application is wired directly into the lead management system.
Customers can schedule test drives, sea trials, and appointments directly from the website without calling the store.
A 24/7 AI chat assistant trained on The Boat Brokers' inventory, policies, and local knowledge. Skippy answers buyer questions, recommends units, handles objections, and captures leads even when the store is closed.
The website installs as a native-feeling app on any iPhone or Android phone. Works offline, loads instantly, and can send push notifications.
Buyers are shown inventory from the location closest to them — Lake Havasu or Bullhead City — with the ability to browse across both locations.
Every listing page shows an estimated monthly payment based on the list price, a 30% down payment, and current market rate financing — updated automatically as prices change.
Every inbound lead — from the website, Facebook, or Messenger — appears in a single dashboard. Staff can filter by source, status, and salesperson, and take action without leaving the page.
When a lead comes in, a 4-stage follow-up email sequence fires automatically. No manual action required. Each stage is timed and tracked for delivery.
A Google Sheets workbook with 13 automated modules that manages the full inventory lifecycle: pricing, condition, photo counts, VIN tracking, consignment expiry, and status updates. Color-coded flags show every unit that needs attention.
The system tracks how many photos each listing has and flags units with zero, one-to-four, or five-plus photos in different colors. Staff always know which units need photography.
Automated checks flag units that are priced underwater, missing a VIN, missing an expiry date (for consignment), or have no condition set. Nothing falls through the cracks.
Every lead and credit application is routed to a specific salesperson. The system supports all seven team members with Garrett as the default assignee.
For units missing specification data, the system automatically searches the web using Gemini AI and fills in the gaps — engine specs, towing capacity, dimensions — without guessing.
Staff can search any format of a stock number (CH5843C, #CH5843C, ch5843c) and get the same result. No more 'not found' errors due to capitalization or prefix formatting.
The master inventory spreadsheet syncs with the website twice daily (11am and 11pm MST). Price changes, new units, and status updates flow automatically in both directions.
Every in-stock unit is listed on the Facebook Shop with full specs, photos, and pricing. Buyers can browse and inquire directly through Facebook without visiting the website first.
Google Analytics 4 is wired to every meaningful customer action: listing views, lead submissions, form completions, phone clicks, and financing calculator interactions.
A CCPA-compliant privacy policy covers all data collected through the website, Messenger, and SMS. Meta App Review was submitted with the required documentation.
Every lead source — web form, Facebook, Messenger, credit app — routes into the same pipeline. No lead arrives at a dead end. Every submission triggers a confirmation email to the buyer and a notification to the assigned salesperson.
Every significant system action — lead creation, price change, inventory sync — is logged with a timestamp and user attribution. Drift is detectable. Nothing changes silently.
Automated jobs (syncs, email sequences, sitemap updates) are monitored for failure. The system distinguishes between 'waiting to run' and 'stale and broken.'
A full disaster recovery rehearsal was completed — backup verified, restore tested, and the runbook documented. The platform can be fully restored from backup.
Every external platform and service connected to the website during this project. Each one required configuration, testing, and ongoing maintenance.
Beyond the technical systems, a significant amount of the work in this project was content — pages written, descriptions created, FAQs built, and materials published. This is the content layer that search engines read and buyers consume.
Every unit in inventory — 163 boats across both dealership locations — received a professionally written, unique description optimized for search engines. Each one includes model-specific keywords, key features, and a narrative that helps buyers picture themselves on the water. No duplicate content across the catalog.
Six brand authority pages, four event pages (including the Memorial Day campaign), and ten buying guides covering the most common questions buyers search before purchasing a boat. Each page includes FAQPage and Vehicle structured data, internal links, and trust signals.
136 individual FAQ items written and deployed as JSON-LD structured data throughout the site. These appear in Google search results as expandable answer boxes — directly above paid ads in many cases.
50 internal links strategically placed across existing and new content to strengthen the site's topic authority and guide buyers deeper into the buying journey.
Full About Us page published with the complete team roster, dealership history, and Lake Havasu City community story. Establishes trust and humanizes the brand for buyers researching before they visit.
Complete rebuild of the consignment landing page with a real quote request form, detailed FAQ section, watermarked example photos, engine detail fields, and a clear step-by-step explanation of the consignment process.
Dedicated pages for Lake Havasu City and Bullhead City locations with NAP (Name, Address, Phone) schema, geo-coordinates, store hours, and location-specific inventory filters. Built to rank for local search queries in both markets.
Full privacy policy covering all data collected through the website, Facebook Messenger, SMS, and the credit application. Written to satisfy California CCPA requirements and submitted as part of the Meta App Review package.
Dedicated campaign landing page for the Memorial Day 2026 sales event with pain-point ad copy, schema markup, and Clarity/analytics integration. Built to serve as the destination for paid social and Google ad traffic.
8 Q&A pairs written and published to the Google Business Profile to surface answers directly in Google Maps and local search results before buyers even click through to the website.
Security work is invisible until something goes wrong. Every item below is a vulnerability that was found and closed, or a reliability system that was built to keep the platform running predictably. None of it is visible to customers — but all of it protects them and the business.
The platform was upgraded from PHP 7.4 (end-of-life since December 2022) to PHP 8.2. This required auditing every custom file for deprecated syntax, upgrading 3,600+ content items, and validating 190 URL redirects. Zero data loss. Completed in a single cutover window.
A security audit of the lead capture plugin (bbi-lead) found and patched 6 critical issues: missing ABSPATH checks (prevents direct file execution), no rate limiting (prevented brute-force submission), missing input length caps, unvalidated URL schemes (SSRF risk), unsanitized output, and missing CPT isolation. All patched in a single release (SHA af9ba719).
Output escaping (esc_html, esc_attr, esc_url) audited and added across all user-facing templates. Every form input validated server-side before touching the database. SQL queries audited for injection risk.
Rate limits added to the lead form, credit application, and contact form endpoints. Prevents automated submission attacks that could flood the lead database or trigger email spam.
Kenect integration upgraded to a token-only HMAC signature scheme. The previous shared-secret approach was replaced with a proper rotation-audited token. Twilio and all legacy SMS code permanently removed from the codebase.
All API keys and tokens in active use were audited for rotation status and storage security. Credentials moved off inline code and into environment-level storage. Claude API key installed via server-side environment variable (not in source code).
Full backup-and-restore rehearsal completed: backup read from storage to confirm validity, restore tested in a clean environment, and a step-by-step runbook documented. The platform can be fully restored from backup in a defined, tested sequence.
Every deployment to production passes through a defined set of gates: price verification, photo health check, cron status check, meta key registry check, and Yoast bridge check. No code reaches production without passing all five gates.
Hours broken down by the part of the platform each day's work was focused on. These are estimates based on what was committed and logged each day.
Every day worked — date, session type, hours, the primary task completed, and the independent timestamp proof confirming when that work happened. "Full day" = approximately 8am–2am. "All-night" = terminal activity confirmed across a 20+ hour span. "Short" = 2–4 hour session. Hours shown are calculated from the proof window (first to last server hit) where available; stated hours are used only when no server proof exists for that day.