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Selected work

What was built. What changed.

Four product examples in plain English: the problem, the solution, how long the work took and the delivery result we can measure.

Work index04 cases
  1. 01Agency website and lead systemWebsite design & development
  2. 02Managed website platformCustomer portal & operations
  3. 03Document AI assistantAI application
  4. 04Analytics migration applicationAnalytics workflow software

Four delivery examples

Websites, portals and focused AI.

Each example connects a real working problem to a clear build and a measurable delivery result.

01Website design & development2026Owner: Meeko Analytics Inc. · first-party build

Agency website and lead system

A clear, mobile-ready agency website that explains the offer and sends project enquiries securely.

Problem

A new agency needed to explain websites, custom applications, AI and managed support without overwhelming a non-technical buyer. It also needed a reliable way to receive enquiries from day one.

Solution

We built a Next.js website with a page for each service, consistent navigation, responsive layouts and a server-side contact form. AWS Amplify hosts the site, Route 53 connects the domain and Amazon SES delivers each enquiry.

Timeline

The initial production website, contact path and search foundation were delivered in about 28 hours across two days. Content and service pages then moved into managed improvement.

Measure

The first release launched nine core public pages. Mobile Lighthouse checks run on July 21, 2026 scored 100 for SEO, accessibility and best practices, with performance between 96 and 100 across the tested pages.

9core pages at launch
96–100Lighthouse mobile performance · Jul 21
100Lighthouse SEO, access & best practice · Jul 21
Read the full case study
02Customer portal & operations2026Owner: Meeko Digital · related product example

Managed website platform

One shared portal for the steps that happen before, during and after a small-business website launch.

Problem

Small businesses often have to coordinate a designer, developer, host and SEO provider. Briefs, approvals and change requests can become scattered across email, documents and separate tools.

Solution

The customer and operations portal keeps intake, design choices, content, build review, publishing, analytics, support requests and billing in one guided workflow.

Timeline

The platform was built in phases from February to July 2026. Each phase added a usable part of the customer journey while the underlying operations were tested and improved.

Measure

One portal now covers eight recurring areas of managed website delivery. Customers and the delivery team can work from the same project status, decisions and request history.

8workflow areas in one place
Feb–Julphased product build in 2026
Brief → supportone connected project record
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03AI application2025–2026Owner: Vizio Consulting · wider-team product experience

Document AI assistant

A private workspace that helps teams find, check and use information from documents and recordings.

Problem

Important answers were buried in long documents and recordings. Staff had to search files one by one, while a general AI tool could give an answer without showing where it came from.

Solution

The focused AI workspace supports document questions, summaries, redaction, sentiment review and audio transcription. Answers point back to their source so a person can check the evidence before using them.

Timeline

The product was developed in phases from March 2025 to July 2026. Core document search came first, followed by additional review, language and media workflows.

Measure

One workspace supports six major AI work areas and audio transcription in more than 31 languages. Source-linked answers make the output easier for people to verify.

6major AI work areas
31+transcription languages
Source-linkedanswers designed for human checking
Read the full case study
04Analytics workflow software2025–2026Owner: Vizio Consulting · wider-team product experience

Analytics migration application

A guided application for moving Amazon QuickSight content between environments with checks and approvals.

Problem

Moving analytics content by hand is risky because dashboards depend on datasets, data sources, themes and permissions. A missed dependency can break the release, and manual steps are hard to repeat or audit.

Solution

The guided migration workflow supports development, test and production environments. It maps dependencies, compares versions, records approvals and keeps a history for validation or rollback.

Timeline

The application was developed in phases from November 2025 to July 2026. The work moved from core asset transfer to governance, validation and a simpler task-based interface.

Measure

The workflow supports five QuickSight asset types and reorganized more than 15 navigation items into six main task areas. Approval, comparison and rollback controls are built into the release path.

5QuickSight asset types
15+ → 6navigation items simplified
Dev → QA → liverelease stages supported
Read the full case study

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