case studies
Five systems, documented properly.
Each of these is a full write-up rather than a testimonial: the brief as it arrived, the problem that turned out to be the real one, the architecture that solved it, and the things that broke on the way. They open as paginated documents.
5,000+ msgs trainedAI Moderation & Market-Scan Bots for Xtrades
Two Discord bots for Xtrades, a $1M/yr trading community: a Selenium market-scan poster that runs the daily watchlists, and a policy-based AI moderator trained on 5,000+ real messages.
- Python
- Selenium
- Discord API
- OpenAI
- DigitalOcean
$7M/yr run rateMulti-Supplier Fulfillment & Recovery Automation
The automation layer behind Merge Screens, a ~$7M/yr Shopify brand — three supplier pipelines, a custom GraphQL shipment tracker, abandoned-cart recovery, and automated Klaviyo refunds.
- Zapier
- Make
- Shopify GraphQL
- Klaviyo
- Asana
4 platforms, 1 viewCross-Platform Ad Analytics Backend for a Reporting SaaS
The data layer behind an accounting-grade ad dashboard — collecting spend and performance from Meta, Google Ads, Amazon Ads and Amazon SP-API, normalizing four incompatible vocabularies into one metrics table, and serving comparable KPIs per customer.
- n8n
- Supabase
- OAuth 2.0
- Meta & Google Ads APIs
- Amazon SP-API
~174 leads / dayViolation-to-Lead Pipeline on NYC Open Data
A daily pipeline that discovers New York housing violations, joins each building to the managing agent legally responsible for it, and enriches that into a contactable decision maker — delivered as reports, outreach and a segmentable dashboard.
- Retool
- PostgreSQL
- NYC Open Data API
- Apollo
- Brevo
3 agent teamsMulti-Agent SEO Content Engine for a Travel Platform
A three-team agent pipeline in n8n that researches a keyword, verifies its claims against live sources, then writes and link-checks a publishable draft — routing Claude and Gemini by task, with the human reviewing at the end rather than the middle.
- n8n
- Claude Sonnet 4
- Gemini 2.5 Pro
- Perplexity & Tavily
- Apify
Something here look like the problem you’re sitting on?
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