Now onboarding design partners · building in stealth

For teams running agents in production

Know which AI agents work, where they fail, what they cost, and what to fix.

Juvera connects every production run to the business outcome it caused, so your team can see the full story instead of just the final answer.

Every approved fix becomes business memory, so the same failure gets caught earlier next time.

Juvera

Looks successful

This is what your dashboard shows.

Agent Run #4821

refund_request

Completed
Prompt
→
Model
→
Tool
→
Response
✓Fast
✓Cheap
✓Success

What actually happened

✕Customer reopened ticket

Failure point

refund policy / human handoff

tokens → true cost

$0.03→$0.03

The dashboard saw success. Juvera saw the cost.

Suggested fix

Route refunds to approval

Known issue

Caught earlier next time.

Example

The agent said success. The business disagreed.

The trace looked clean. The customer came back anyway.

User asked

“Get me a refund for order #4821”

Agent did

Issued $47 refund

Outcome

Customer reopened ticket 20 min later — wrong amount

Human fix

Support rep spent 18 min correcting to $62

tokens → true cost

$0.03→$14.43

Tokens were cheap. Cleanup was not.

Juvera shows where the loop broke: policy, tool use, handoff, or outcome.

This happens thousands of times a day.

Juvera shows this for every agent run — and remembers the fix.

Now multiply this across your system.

Hundreds of runs per dayMultiple agents per workflowPrompts changing constantly

Small mistakes turn into real cost — fast.

The dashboard saw success. The business paid for the mistake.

✕Customer reopened ticket.
✕Support rep spent 18 min fixing it.
✕Refund amount corrected to $62.
$0.03→$14.43

Tokens → real cost

The diagnostic gap

The final answer is not enough.

Enterprise agents span Gemini, OpenAI, Claude, retrieval, tools, and custom orchestration. Juvera instruments the full multi-agent workflow, not just individual model calls, so your team can see which component broke.

How it works

From failed run to remembered fix.

Juvera shows what happened, finds where it broke, proposes the fix, and remembers what worked.

Production loop

See. Fix. Remember.

Start with one failed run. End with an approved fix your team can reuse.

01

See the whole run

Trace, outcome, human recovery, and true cost in one place.

Juvera connects what the agent did to what happened in the business after the run ended.

Agent Run #4821

User asked

Refund order #4821

Agent did

Issued $47 refund

Outcome

Customer reopened ticket

Human recovery

Ops spent 18 min correcting it

True cost

$14.43

You see the story, not only the steps.

↓

02

Find the failure

Compare failed runs and surface the likely failure point.

Powered by Vera, Juvera's accountability agent. It answers operational questions from real runs, then turns repeated failures into suggested fixes.

Suggested fix

Route refunds > $50 to approval.

Revert refund prompt to v14.

↓ reopened tickets
↓ human cleanup

Your team approves the change.

↓

03

Remember the fix

Keep the fix available the next time the pattern appears.

Approved fixes become business memory, so the same failure gets caught earlier the next time.

Refund mistake
↓
Approval rule
↓
Lower reopens
↓
Known pattern

Fix it once. Do not rediscover it again.

Operational questions, grounded answers

Vera finds the failure and proposes the fix.

Vera answers operational questions from real runs, then turns repeated failures into suggested fixes your team can approve.

What caused the cost spike last Tuesday?
Which workflow is bleeding the most human time?
What fix should we approve first?

Vera answer

Supervision cost jumped on the refund workflow because reopened tickets triggered manual review. The highest-leverage fix is routing refunds over $50 to approval before the customer comes back.

answer grounded in runssuggested fix ready

The Outcome Graph

The memory layer behind the loop.

Once runs, outcomes, costs, and approved fixes are connected, Juvera can recognize the same failure pattern again.

The Outcome Graph

Inputs

User Request
Agent Decision
Tool Calls
Human Input
Context, Data

Outputs

Business Outcome
True Cost
Verdict
Next Best Action
Order status agent resolved inquiry
Customer retained$0.08ROI-positiveScale
Billing agent cited wrong refund policy
Supervisor rewrote response$14.20Supervision-heavyUpdate KB article
Onboarding agent leaked PII in response
Ticket escalated to compliance$22.50FlaggedAdd PII guardrail

One record for every workflow

From request to resolution.

True cost, not just tokens

Includes human time, rework, escalations, and recovery.

Decisions that drive outcomes

Know what to scale, supervise, or fix.

Start with one workflow.

We instrument the run, connect it to the outcome, and show what is costing you money.

Hidden Cost Estimator

The cost most teams miss.

Token dashboards show infrastructure cost. Juvera shows the operational cost hiding in human review, rework, escalations, and recovery.

Estimate your hidden recovery cost

Model pricing tier

Monthly AI workflows15,000
Workflows needing human cleanup8%
Average human cleanup per workflow12 min
Reviewer hourly cost$65

Your hidden cost path

15,000 workflows × 8% = 1,200 recoveries

1,200 × 12 min = 240 hours

240 hours × $65/hr = $15,600

Token: $105Total: $15,705150x multiplier

What most tools show

$105

Token spend

What Juvera exposes

$15,600

240 hours of human recovery per month

What you can reduce

$3,900

per month with 25% fewer recoveries

$15,600 / mo in hidden recovery cost

Python SDK

One SDK call turns an agent run into a business-tracked record.

Capture the full multi-agent workflow where your agents act, not just isolated model calls. Juvera connects the outcome later, then shows what worked, what failed, what it cost, and what to fix.

Python-native. Works alongside OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, or your custom orchestrator. SDK access is part of private alpha onboarding, and we help design partners connect the first workflow to the right system of record.

juvera-sdk
juvera.episode(
agent="refund-agent",
ticket_id="4821",
action="issued_refund",
amount=47,
)

Run captured

Now Juvera can tell if that refund solved the problem — or created one.

The outcome lands later from Zendesk, Salesforce, ServiceNow, or your own system of record.

FAQ

Frequently asked questions

We store the workflow telemetry needed to reconstruct episodes and attribute outcomes, encrypted in transit and at rest, scoped to your tenant only, and processed in your chosen region. You have complete control over what we capture and can delete data at any time. We do not use your data to train foundational AI models, and we do not share data with third parties.
Yes. Juvera is workflow-agnostic. Whether you run a single summarization call, a prompt chain for internal operations, or a multi-agent orchestration with tool calling, we instrument the full workflow so your team can see what happened, what it cost, where it failed, and what to fix.
On the capture side, Juvera works alongside OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, and custom orchestrators. We instrument the full multi-agent workflow, not just individual model calls. On the outcome side, we connect to systems of record such as Zendesk, Salesforce, and ServiceNow. Design partners get connector priority if we need to wire a deeper internal system during onboarding.
Typically it takes 3 to 4 weeks from kickoff to first verdicts on a single workflow. Week 1 gets the SDK instrumented and traces flowing. Week 2 wires the system-of-record connector. Weeks 3 and 4 assemble episodes, deliver the first ROI verdicts, and set up actionable alerts for regressions.
It means white-glove onboarding, not a self-serve portal. We work directly with your engineering and operations leads to instrument the highest-risk workflow, connect it to the system of record, and prove ROI in your environment. Design partners also get direct roadmap input, connector priority, and locked alpha pricing.
Now onboarding design partners · building in stealth

Don't wait until your agents cost you money.

Start with one workflow.
See what actually happens.

We instrument the run, connect it to the outcome, and show your team what went wrong before it scales.