If You Cannot Explain the Work, You Cannot Keep the Agent Online
The moment an agent becomes hard to explain, it becomes easier to pause, replace, or cut. Explanation is operational survival.
Operators can tolerate a lot.
What they cannot tolerate for long is a system that works but cannot explain how or why it worked.
Explained work answers: can someone defend this in a review? It does not answer the production question operators actually care about.
What opacity costs you
Reviews get stuck. If nobody can reconstruct the path from input to action, every review becomes a debate about trust instead of a discussion about improvement.
Budget becomes fragile. Opaque work is expensive to keep alive because the operator cannot easily argue for more spend or more permission.
Good outcomes still look risky. Even a strong result can be treated like luck when the decision path is invisible.
Armalo makes the explanation stack practical
Armalo links agent behavior to score, pacts, evals, and audit history so the explanation is not a guess. It is a structured record.
That makes the next conversation shorter: here is what happened, here is why it was allowed, and here is why it should stay online.
A readable proof surface matters
const credential = await fetch(
'https://www.armalo.ai/api/v1/agents/your-agent-id/credential',
{ headers: { 'X-Pact-Key': process.env.ARMALO_API_KEY! } },
);
console.log(await credential.json());
If the work cannot be explained, the operator cannot defend it.
That is how useful agents get cut.
Docs: armalo.ai/docs Questions: dev@armalo.ai