Nexia Academy: Building a White-Label Learning Platform
The engineering story behind Nexia Academy — moving from single-tenant to multi-tenant, white-label theming, SCORM/xAPI ingestion at scale, and what we would do differently starting over.
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Engineering notes & field stories
Production-tested patterns, product stories from Blink AI, Nexia Academy and Wallnetic, and the trade-offs we hit shipping real software. Written by senior engineers, not marketing.
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SCORM Authoring Tools Compared: Articulate vs Captivate vs Rise
A practical comparison of Articulate Storyline 360, Adobe Captivate and Articulate Rise — when each is the right tool, where they hide costs, and how their SCORM/xAPI output differs.
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AI Safety in Corporate Training: Hallucinations and Guardrails
Why hallucinations in corporate training products are worse than in consumer chatbots, and the specific guardrails we put in place across Blink AI and Nexia Academy to catch them.
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Multi-Language SCORM Packaging: i18n in E-Learning
How to ship multi-language e-learning content cleanly — packaging strategies, manifest design, content-author workflow, and the gotchas that show up when SCORM meets i18n.
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Building a GROW-Methodology AI Coach: Blink AI Architecture
The system architecture behind Blink AI — prompt orchestration, session state, memory isolation, evaluation pipeline and how the GROW methodology maps to a production AI service.
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KVKK + GDPR for SaaS: A Practical Engineering Checklist
A practical engineering checklist for shipping SaaS that meets both Turkey’s KVKK and the EU’s GDPR — data flows, consent, retention, subject access requests and the differences that matter in code.
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Socratic AI Prompting: How Blink AI Coaches Without Telling
Why Blink AI uses Socratic questioning instead of advice generation — how we built prompts that guide users to their own insights, the failure modes we hit, and what the GROW methodology adds.
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Retrieval-Augmented Generation in Production: What Breaks at Scale
Six failure modes we hit running RAG in production — chunking gone wrong, embedding drift, retrieval recall, prompt bloat, hallucination on missing context, and how to detect them before users do.
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Vector Databases Compared: pgvector vs Pinecone vs Qdrant
A practical comparison of pgvector, Pinecone and Qdrant for production AI workloads — when each one wins, real performance characteristics, and the migration path between them.
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Sentry + OpenTelemetry: A Production Observability Setup
How we combine Sentry for error tracking with OpenTelemetry for tracing across our Node, React Native and Go services — minimum viable observability for production systems.