The Problem
Cut Through the Noise.
The internet is flooded with AI hype, fleeting trends, and endless wrappers, making it impossible to know where to start. Stop chasing the hype cycle.
The signal-to-noise problem
Every week brings a new framework, a new agent pattern, a new wrapper around the same underlying models. Teams spend more time evaluating tools than building with them. The cost is not the subscription fee — it is the months spent integrating something that is abandoned two quarters later.
Fragmented workflows
Most teams end up with capability scattered across a dozen disconnected places: a prompt library here, a set of internal scripts there, a handful of vendor integrations that do not talk to each other. Nothing compounds. Each new project starts near zero.
Lock-in by default
Tooling is usually built against one provider's interface. When the model landscape shifts — and it shifts constantly — that work does not move with you. The switching cost is paid in rewrites.
What we think the answer is
Capability should be portable, not rebuilt per provider. It should accumulate rather than reset. And the work of building, translating and maintaining it should sit with someone other than your engineering team.
That is what Kyber is for.