Question 1

How is Fruxon different from observability tools?

Accepted Answer

Observability tools show you what's happening. Fruxon handles the full agent lifecycle: build, run, observe, version, evaluate, and rollback—all in one platform.

Question 2

Is it too early to use Fruxon if we're still experimenting?

Accepted Answer

Actually, it's the perfect time. Build on a production-ready foundation now, so you don't have to rewrite later. Teams that start with proper infrastructure avoid painful migrations when they scale.

Question 3

How do you handle agent unreliability?

Accepted Answer

With guardrails at every step. Fruxon includes evals, human-in-the-loop approvals, and instant rollback—so when agents misbehave, you catch it early and recover fast.

Question 4

Why not build our own agent infrastructure?

Accepted Answer

You could. But do you want your engineers building ops infrastructure or shipping product? Building reliable agent infrastructure typically takes 3-6 months. Fruxon gives you all of this in minutes.

Question 5

Do you support my preferred AI model?

Accepted Answer

We support all major providers—OpenAI, Anthropic, and Google. Fruxon handles the reliability layer regardless of which model you choose.

Question 6

Is my data safe with Fruxon?

Accepted Answer

Absolutely. Your data is never used to train any models. We encrypt everything at rest and in transit, and follow enterprise-grade security practices. Your agents, prompts, and datasets belong to you—always.

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