Nine articles on AI search, agentic tooling, and what AI in production actually costs in effort — from the engineers shipping it.
No. Most teams start with site search or an internal assistant over content they already have, then expand once retrieval quality is proven. “AI Your Way” lays out three entry points ranked by effort and payoff.
It comes down to the indexing model, answer quality on your own content, and what survives your next upgrade. We benchmarked Progress Agentic RAG against ai12z and HawkSearch on those three axes rather than on feature lists.
Preparation, mostly. Chunk pages by heading, keep titles literal rather than clever, and put a short direct answer near the top of each article. Retrieval quality tracks content hygiene more closely than model choice.
Most Sitefinity teams don't need an AI product comparison, they need a path. How native Sitefinity AI and assistant-side skills stack into one adoption journey.
What AI in business operations looks like at a 25-person consultancy: where it runs, what it broke, what it cost, and the rules we use to keep it safe.
Keyword-only search under-delivers for the highest-intent visitors. Semantic search closes the gap between what people ask and what you've written.
Does Progress Sitefinity's built-in RAG hold up on real content? Our take on where it beats a custom build for content-heavy sites, and how to evaluate it.
A framework for choosing AI search for Sitefinity: when ai12z, Progress Agentic RAG, or HawkSearch is the right fit for your content, governance, and budget.
What AI in Sitefinity actually looks like in production: content audits, translation sync, bulk updates, and editorial review on your live site.
A 20% drop in triage hours was the visible win. The real story is the multi-vendor AI layer and supply-chain discipline that made the pilot production-ready.
A practical workflow for building with AI tools without losing your mind, or your token budget. How to put each tool in its own lane and let it do what it's actually good at.
After years of hype, AI-assisted development is finally living up to it. Here's what Claude Code, Codex, and Copilot actually look like in real development work.
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