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Cyverix Journal

Practical notes on building software and AI for real businesses: delivery, architecture, and how we work with teams worldwide.

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FeaturedAI
12 min read

Writing AI PRDs that actually ship: a practical template for real teams

AI features need different requirements: data sources, failure modes, evaluation, and UX fallbacks. Here’s how we write PRDs that survive production.

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Data pipeline visualization on screensEngineering13 min readData foundations for AI: what to fix before you add modelsBetter AI starts with better data: instrumentation, schemas, and a source of truth. Here’s the checklist we use before building AI features.dataanalyticsinstrumentationRead articleSupport team collaborating in an officeAI12 min readRAG for customer support: how to turn your knowledge base into reliable answersRetrieval-augmented generation can reduce ticket volume, but only if you treat content quality, chunking, and evaluation as first-class work.RAGcustomer supportknowledge baseRead articleDeveloper workspace with code and notesAI11 min readFine-tuning vs RAG: which approach should your AI feature use?Most teams don’t need fine-tuning early. Here’s how we decide based on data, UX, cost, and maintainability.fine-tuningRAGLLMRead articleTeam reviewing charts on a screenAI12 min readPrompt evals and regression tests: the missing discipline in AI product teamsIf you ship prompts without tests, you’re shipping blind. Here’s a lightweight evaluation system that fits real release cycles.evaluationpromptstestingRead articlePeople collaborating in a modern officeAI13 min readAI agents for business automation: where they fit, and where they failAgents can orchestrate tools and workflows, but only when you constrain scope and build strong observability and permissions.agentsautomationtool useRead articleTeam collaborating around laptops in an officeBusiness11 min readWhy offshore software partners in Pakistan deliver real value for US and EU startupsCost is only part of the story. Here is how teams in Faisalabad and beyond ship production-grade products when communication and process are aligned.remote teamssoftware outsourcingPakistan techRead articleInvoice papers and calculator on a deskAI12 min readMultimodal AI for invoices and receipts: a practical pipeline that worksFrom PDF to structured fields, the winning approach mixes OCR, validation, and human review — with a clear exception path.multimodalOCRinvoicesRead articleAbstract neural network visualizationAI12 min readLLM integrations in production: what we learned shipping real client productsMoving from a demo to something customers rely on means queues, limits, observability, and human fallbacks, not just an API key.LLMOpenAIproduction AIRead articleServer racks and network lightsEngineering11 min readCI/CD for startups: how to ship faster without breaking productionA pragmatic release pipeline: staging, checks, feature flags, and rollback plans that fit small teams.CI/CDDevOpsdeploymentsRead article