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Practical Guidance on AI, SEO, Web, Ads, and Content.
In-depth posts from Magnis AI senior practitioners. SEO, AI, marketing, web development, Google Ads, and content marketing. New posts weekly.
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Next.js vs WordPress: When to Pick Each (and When Neither Is Right)
The choice between Next.js and WordPress is contextual, not religious. A practical decision matrix for when each wins and when you should look at Shopify, Webflow, or static instead.
Google Ads Without Burning Budget: The First 90 Days
Most small businesses lose money on Google Ads in the first 90 days because they skip the boring foundations. Here is the foundation that prevents the burn and sets up profitable scale.
What Actually Ranks in Google in 2026 (Hint: Not AI-Generated Filler)
Google's helpful content updates and the rise of AI search have raised the quality bar. What ranks now is original insight, real expertise, and content that solves a specific reader problem.
AI Automation for SMBs: Where to Start When Everything Looks Like It Could Be Automated
If you run an SMB and you keep hearing that AI can automate everything, the question is where to start. Here is a simple framework for picking the first three workflows.
Marketing Attribution That Actually Works (Without an Eight-Person Analytics Team)
Last-click attribution lies. Multi-touch attribution is overkill for most SMBs. Here is the pragmatic middle that gets you 80 percent of the answer with a tenth of the effort.
Implementing MAS FEAT in Practice: A Controls Library for Banks
FEAT principles translated into engineering controls. What Fairness, Ethics, Accountability, and Transparency look like inside your CI pipeline, model registry, and audit pack.
EU AI Act: A 12-Month Conformity Readiness Roadmap
High-risk obligations come into force August 2026. A practical roadmap covering Annex III classification, Article 9 to 15 controls, technical documentation, and conformity assessment.
Production RAG: Why Pure-Semantic Retrieval Fails Enterprise Content
Why single-vector RAG underperforms on regulatory, legal, and technical content, and what hybrid retrieval, reranking, and evaluation actually deliver in production.
Hallucination Mitigation in Regulated LLM Applications
Grounding, output validation, multi-step verification, and runtime evaluation. A layered approach to reducing hallucination in enterprise LLM applications, with measurable acceptance criteria.
Building an AI Risk Register that Survives Internal Audit
What fields, classifications, and review cadences regulators expect. A practical template for AI inventories that stand up to MAS, RBI, and EU AI Act scrutiny.
ISO 42001 versus NIST AI RMF: Which One Should You Adopt?
A side-by-side comparison of ISO 42001 (AI management system) and NIST AI RMF (risk framework). Why most organisations need both, and how to harmonise.
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