Now Live   Two production AI products on display — see the portfolio →
Portfolio  ·  Live AI Products

Products we built.
Live on the web.

We don't just consult on AI — we ship it. Two production AI products are live right now, each handling real users, real data, real traffic. This is the work.

Visit GoodPickr → Visit NearFaith →

↓ Scroll to see the build stories

№ 01   AI Product · GoodPickr
GoodPickr AI product comparison interface
GoodPickr iOS app on mobile
AI Product  ·  Live goodpickr.com ↗

GoodPickr

AI-powered product comparison — for anything.

Built solo, GoodPickr lets anyone compare any two products with streaming AI analysis powered by Claude. The engine parses Amazon's catalog by ASIN, verifies product images with vision models, and returns curated "top picks" across thousands of categories — all in seconds.

Available as a web app, iOS native app (SwiftUI), and macOS app. Same product comparison engine, three surfaces.

1000s
Categories ranked
Streaming
AI responses
3 platforms
Web · iOS · macOS
Built solo
Shipped live
Node.js Express SQLite Claude OpenAI Railway SwiftUI AppKit
Visit GoodPickr → Read case study below ↓

Problem

Comparison sites are broken by design.

Product comparison sites are static, ad-bloated, and out-of-date by the time you read them. There's no way to compare "the best X for Y use case" without trawling 8 tabs of Reddit threads written six months ago.

Approach

Stream real picks. Verify every image.

Streaming AI picks driven by Claude, anchored to real Amazon products via ASIN extraction. Vision-vet every image so what you see is what you'd actually buy. Ship the same engine to web, iOS, and macOS — one backend, three surfaces.

Outcome

Live. Indexed. Expanding.

A live product handling real comparisons every day. iOS app in TestFlight. Search-indexed long-tail categories across thousands of niches. Built and operated by one engineer, without the overhead of a team.

№ 02   AI Product · NearFaith
NearFaith homepage showing church discovery interface
NearFaith church finder on mobile
AI Product  ·  Live nearfaith.com ↗

NearFaith

Find a church near you — with real data, not directories.

Most church finders are stale directories of dead links. NearFaith uses live Google Places data, denominational filters, and AI-generated city guides to make church discovery actually useful.

Every U.S. city has a dedicated landing page, every denomination has a hub, and every church has its own structured-data-rich profile — engineered for both human visitors and search-engine indexing.

50K+
Churches indexed
Every U.S. city
With AI-written guides
Real-time
Google Places data
SEO-first
Structured data, indexed
Next.js TypeScript React Google Places API Vercel JSON-LD Sanity (CMS)
Visit NearFaith → Read case study below ↓

Problem

Faith discovery is broken online.

Church directories are years out of date. Denominational lookup is fragmented. No one is indexing the actual local landscape — just aggregating old lists of names and hoping for the best.

Approach

Real data. Real pages. Real SEO.

Pull live Google Places data, layer AI-generated city and denomination guides, ship slug-based URLs and structured data so every church is discoverable in Google. Treat SEO as a product feature, not an afterthought bolted on after launch.

Outcome

50K+ churches. Real organic traffic.

50K+ churches indexed across the U.S. AI-generated guides for thousands of cities. Real organic traffic via daily Google indexing pushes. Live at nearfaith.com, and growing every week.

03 — Method

Same engineering discipline, every product.

These aren't toy demos or side projects wrapped in a landing page. They're production systems, built to the same standard we bring to every client engagement.

Ship Week 1

Production deploy on day 5, not month 5. We build live, in public, and iterate from real usage — because real feedback beats imagined requirements every time.

AI as Infrastructure

LLMs are routed, cached, fallbacked, and vision-vetted. Not "we wrapped GPT-4" — actual production AI plumbing with real error handling, token economics, and model diversity.

Real Data Only

Google Places, Amazon ASINs, indexed church records — never synthetic. Real data is the moat. Anyone can generate fake content; sourcing and structuring real data at scale is the hard part.

SEO + Speed

Structured data, slug-based URLs, sub-1s loads. Indexed by Google in days, not months. We engineer discoverability in from the start — not as a retrofit when traffic doesn't show up.

04 — Stack

Frontend

  • Next.js
  • React
  • SwiftUI
  • TypeScript
  • Tailwind CSS
  • Vanilla DOM (where it counts)

Backend & Data

  • Node.js + Express
  • SQLite
  • Sanity CMS
  • REST APIs
  • Server-Sent Events (SSE)

AI & Infra

  • Claude (Anthropic)
  • OpenAI
  • Google Places API
  • Railway
  • Vercel

Want a product built like this?

Whether you need an AI product shipped from zero, or D365 CE expertise from a team that actually builds, we're available for selective engagements.

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