About this section
Technical deep dives, architecture decisions, and how we build Ozigi. Share your engineering insights, best practices, and technical lessons learned.
Example topics
How to Stop AI Slop in Production: A Two-Layer Validator for LLM Output (2026)
AI slop slips past prompt rules in roughly one in five LLM generations. Here is the field-tested architecture we shipped at Ozigi to catch it: a structured banned lexicon, regex pattern matching for AI cadence tells, code-block sanitization, and a bounded one-retry repair loop. Full TypeScript code, latency numbers from production, and an honest answer on whether humanizer APIs solve the problem.
Demystifying RAG Architecture for Enterprise Data: A Technical Blueprint
Learn how to build a robust retrieval-augmented generation pipeline that connects large language models to your enterprise data, reducing hallucinations and enabling accurate, context-aware responses.
Building a Robust Webhook Handler in Node.js: Validation, Queuing, and Retry Logic
This article covers the full picture: signature validation, idempotency, async queuing, and retry logic with exponential backoff.
Gemini 2.5 Flash vs Claude 3.7 Sonnet: 4 Production Constraints That Made the Decision for Me
An evaluation of the Gemini 2.5 flash and Claude 3.7 Sonnet model for an agentic engine.
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