Topics

Articles on applied AI for business: LLM integration, autonomous agents, process automation and what running models in production actually costs.

How to automate business processes without breaking what works: what is worth automating, with which tools, and how to measure the return.

Articles on building software that lasts: stack choices, code quality, realistic timelines and working with distributed engineering teams.

Architecture decisions explained: microservices or monolith, API design, scalability and migrating legacy systems without downtime.

Articles for deciding with evidence: build versus buy, how to calculate the ROI of a technical project, and what budget a build really needs.

Articles on technical strategy: phased digitalisation, technical debt, choosing a vendor and planning across several years.

Articles on measurable growth: technical SEO, conversion, user activation and experiments that actually move business metrics.

SEO from the engineering side: performance, structured data, programmatic SEO and visibility inside AI search engines like ChatGPT and Perplexity.

Articles on ERP: when an off-the-shelf ERP beats a custom one, integrating with e-commerce and CRM, and migrating without halting operations.

Technical articles on large language models: model selection, real production costs, RAG, fine-tuning and keeping hallucinations under control.

Articles on industrial IoT: sensor data capture, connectivity in hostile environments, telemetry and real-time operational dashboards.

Taking an idea to product: validating before you invest, scoping an MVP, prioritising features and picking metrics that actually matter.

How to build an AI agent that works: tool design, multi-agent orchestration, autonomy boundaries and what breaks once it reaches production.

Articles on Next.js: App Router, rendering strategies, performance, SEO and the cases where Next.js is the wrong tool for the job.