Recently, I completed a server-side conversion tracking system that connects Meta Ads, LINE Official Account, and n8n automation workflows. The system captures actual LINE friend additions and sends them directly to Meta through the Conversions API (CAPI), significantly improving attribution accuracy. Unlike traditional browser-based pixel tracking, this architecture is resilient to ad blockers, cookie restrictions, and browser privacy changes. Using n8n enabled rapid development, lower operational costs, and easier maintenance compared to building and managing a custom backend service. The workflow integrates webhooks, event processing, data transformation, and Meta server-side event delivery in a scalable architecture. This approach helps advertising campaigns optimize toward real business outcomes rather than simple page visits or button clicks. I specialize in building automation-driven systems that combine AI, APIs, cloud infrastructure, and marketing technology into production-ready solutions.

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been deep in Claude Code optimization the last couple weeks and figured i'd share what actually moved the needle, since i see this asked a lot. two free things did most of the work: 1. a permanent knowledge base Claude reads before every task (Karpathy's LLM Wiki idea) so it stops forgetting context 2. the Superpowers plugin so it plans before it codes instead of guessing context + process. that combo is the real unlock. watch it here: https://youtu.be/m_jGz8Wr_ow