Our Content Standards
How We Create Content at Infra IT Consulting
At Infra IT Consulting, we believe in being transparent about how this site's content is produced — because transparency is foundational to trust in any consulting relationship.
AI Assistance, Human Judgement
Articles, guides, and resources on this site are developed with the assistance of large language models (LLMs). We use AI to:
- Draft initial content structures and outlines
- Ensure comprehensive coverage of technical topics
- Maintain publishing velocity across a broad range of data engineering and cloud subjects
Hazem's Review Process
Every piece of content is personally reviewed by Hazem, the founder of Infra IT Consulting and a practising data engineering consultant. His review includes:
- Technical accuracy: Verifying that AWS service behaviour, architectural patterns, and best practices reflect real-world implementation — not just documentation summaries
- Contextual relevance: Ensuring content applies to the Canadian, European, and African markets this practice serves
- Practical grounding: Adding client-informed perspective, edge cases, and nuance that AI models do not capture
- Ongoing revision: As cloud platforms evolve, posts are updated to reflect new service capabilities and deprecations
Why We Think This Is the Right Approach
The data engineering and cloud landscape moves fast. An AI-assisted content model allows us to cover more ground — more services, more use cases, more industries — than would be possible for a solo practitioner writing from scratch. But AI does not replace domain expertise; it amplifies it. Every claim on this site has been filtered through hands-on consulting experience.
If you find anything inaccurate, outdated, or unclear, we want to know. Reach out through our contact page.
— Hazem, Infra IT Consulting