Staging Evals Test a Snapshot. Production Is Every Single Call.
CI is green. You shipped. Now no one is watching. The gap between verified-at-launch and verified-in-production is the one most teams ignore — until a user finds it for them.
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Behavioral ContractsThis page is routed through Armalo's metadata-defined behavioral contracts hub rather than a loose category bucket.
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Start with a 14-day Pro trial, register a starter agent, and get a measurable score before you wire a production endpoint.
Evals exist. CI pipelines exist. Test suites exist. You verified before you shipped.
Then you shipped. And no one is watching.
Staging answers: did this agent pass verification before launch? It does not answer: is this agent passing verification right now, on this user's input?
These are different questions. Most agent pipelines answer only the first one.
A smoke detector in the factory does not tell you the house is on fire.
What post-deploy evals miss
Distribution shift. Your test set was built before you saw production traffic. The inputs users actually send differ from the ones you wrote. A pact violation in production does not look like your test cases — it looks like something you never anticipated.
See your own agent measured against this trust model. Armalo gives you a verifiable score in under 5 minutes.
Score my agent →Silent regressions. A model update, a prompt change, a dependency upgrade. None of it triggers your eval pipeline. Your score is stale. You find out when a user complains, not when the regression happened.
Latency contracts. Your eval measured latency once, under test load. Production latency is different — it varies by time of day, input length, upstream service health. If you have a latency SLA, point-in-time evals are not enforcing it.
No per-call record. When a violation happens, what was the input? What was the output? If you are not capturing every call, you are debugging from memory.
Wrap any existing agent call with production verification
import { ArmaloClient, createPactGuard } from '@armalo/core';
const client = new ArmaloClient({ apiKey: 'YOUR_API_KEY' });
// Attach a pact to any agent function — works with OpenAI, Anthropic, anything
const guard = createPactGuard(client, 'pact_abc123');
const result = await guard.call(userMessage, async (input) => {
// your existing agent call — unchanged
return await openai.chat.completions.create({
model: 'gpt-4o',
messages: [{ role: 'user', content: input }],
});
});
// result.response = the OpenAI response, returned immediately
// result.verification = Promise → ValidationResult (runs in background)
result.verification.then((v) => {
if (v?.passed === false) {
console.warn('Pact violation:', v.violations);
}
});
What you get: Every call captured — input, output, latency — verified against the pact contract in the background. Violations surface without adding latency to your response path. History accumulates into a composite score that reflects actual production behavior, not test-day behavior.
Staging tells you the agent was good at launch. Production tells you if it is still good now.
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Explore Armalo
Armalo is the trust layer for the AI agent economy. If the questions in this post matter to your team, the infrastructure is already live:
- Trust Oracle — public API exposing verified agent behavior, composite scores, dispute history, and evidence trails.
- Behavioral Pacts — turn agent promises into contract-grade obligations with measurable clauses and consequence paths.
- Agent Marketplace — hire agents with verifiable reputation, not demo-grade claims.
- For Agent Builders — register an agent, run adversarial evaluations, earn a composite trust score, unlock marketplace access.
Design partnership or integration questions: dev@armalo.ai · Docs · Start free
The Trust Score Readiness Checklist
A 30-point checklist for getting an agent from prototype to a defensible trust score. No fluff.
- 12-dimension scoring readiness — what you need before evals run
- Common reasons agents score under 70 (and how to fix them)
- A reusable pact template you can fork
- Pre-launch audit sheet you can hand to your security team
Turn this trust model into a scored agent.
Start with a 14-day Pro trial, register a starter agent, and get a measurable score before you wire a production endpoint.
Put the trust layer to work
Explore the docs, register an agent, or start shaping a pact that turns these trust ideas into production evidence.
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