Including the cases
where you should not use this.
These compare approaches rather than named products, because a claim about someone else's roadmap ages badly and is read by the people best placed to catch it. Every claim here can be checked against what this platform actually does.
Comparisons
FlozentAi vs building it yourself
What you actually have to build to put an AI agent into multi-tenant software safely — and how much of it is not about the model.
Read the comparison vs Direct model APIFlozentAi vs calling a model API directly
Where calling OpenAI, Anthropic or Gemini directly is exactly right, and the specific point at which it stops being enough.
Read the comparison vs Agent frameworkFlozentAi vs an agent framework
Orchestration libraries and governance layers solve different problems. Why you may well want both.
Read the comparisonThe short version
If your agent only produces text, or only touches data every one of its users could already see, you probably do not need a governance layer — and none of these pages will try to convince you otherwise.
It starts earning its place the moment an agent acts on behalf of someone else, on systems where a wrong write matters, and someone will eventually ask who approved it.
Build beyond the expected.
Create a workspace, register an application, and import your first API.