Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform

Seriously, who uses GraphQL anymore? The whole thing feels like homework. Beginners get hit with a learning curve, and simple projects often end up feeling more complex than they need to be. The UI can slow to a crawl once your dataset grows, especially if you’re juggling dozens of fields or multiple locales. While the localization tools work, the experience can get messy with 10+ languages, and suddenly your dashboard looks like a spreadsheet that lost a fight.
Integrations are also tricky. Everything runs through GraphQL, which leads to your entire stack still living in REST-land. In that case, expect extra dev time to bridge the gap. If you’re not sure whether Hygraph is the right fit or you’re stuck halfway up the learning curve, reach out. We can help you figure out the cleanest path forward.

GraphQL is one of its strongest point but it can be your downfall as well, if your team hasn’t touched GraphQL before, expect a ramp-up period. It’s powerful but definitely not “plug in and go.”

Once your project grows, the Hygraph UI can start dragging. Big data collections need extra optimization to stay usable.

Heavy models, long lists, and asset-heavy projects can make the dashboard feel slow, especially for editors.

Managing multiple locales works, but it’s not as intuitive as it looks on paper. Some teams find themselves clicking around more than expected.

Multi-language setups work fine, but as soon as you hit double-digit locales, the UI quickly becomes noisy and harder to manage. It’s usable, just not optimised for scale.

If your systems still rely on REST, be prepared for extra engineering. Hygraph is GraphQL-only, so adapters and rework are part of the deal.
Calling your CMS “Kontent dot ai” is a brilliant way to convince people you’ve built an AI-powered future. And to be fair, the platform does have a clean editor, strong workflow tools, and a respectable multi-channel setup.
It's perfect for the kind of company that has more infosec members than it does have devs. But calling yourself an AI platform doesn’t mean you’re built like one.
Real AI-driven CMS platforms start at the foundation with structured content, flexible modeling, real-time indexing, and an architecture that doesn’t panic the moment you try something complex. Sanity doesn’t even market itself as “AI-first,” but it’s been ahead of the curve for years. They shipped an embedding index before “AI CMS” was a pitch deck buzzword. We even built one of the first AI search tools on top of it.
So yes, Kontent.ai is great. If you want a polished interface and enterprise workflows, go for it. And if you’re dead-set on building your website there, talk to us first. We’ll walk you through it and maybe even find a better way before you spend six months discovering the limits yourself.
You shouldn’t need a week of onboarding to publish a paragraph. Kontent.ai nails this with a clean interface that doesn’t punish you for being a marketer instead of a developer.

Build content the way your brain works. Modular, structured, reusable. No dev intervention every time marketing decides “we need one more field.”

The APIs are predictable, well-documented, and don’t require wild workarounds. Everything connects the way it should and developers stay happy too.

React, Vue, Angular, or whatever framework you’re obsessed with this week, Kontent.ai plays nice with all of them and keeps deployments smooth.

You can resize, crop, and optimize visuals without leaving the CMS. Think of it as an in-house designer that doesn’t complain about aspect ratios.

Writers, editors, and developers can work together without stepping on each other’s commits. Instant updates, fewer Slack messages, and zero “who overwrote my draft?” moments.
Book a meeting with us to discuss how we can help or fill out a form to get in touch
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