Evaluation-driven
development for AI
systems in
production
Roro works with your team to design and operationalize the evaluation layer so every prompt change, model update, and agent release is a measured decision, not a guess.
Trusted by product and technology teams
What we do
Most teams don't know when their AI starts failing
Logs, traces, and dashboards tell you something broke. They don't tell you why, when it started, or how to stop it happening again. That's the gap evaluation driven development fills.
Where AI quality breaks
Logs don't explain what went wrong
Failures show up in dashboards, but root cause still takes hours to understand.
Prompt changes create blind spots
A small prompt update can improve one case and silently break another.
No baseline to compare changes against
Teams ship changes without knowing if quality improved or regressed.
Production failures are hard to reproduce
Bad responses are difficult to trace back to the exact prompt, context, tools, and model behavior.
The Service
How Roro helps your team
A hands-on service engagement to design, implement, and operationalize evaluation for your AI workflows.
Evaluation System Setup
We define what quality means for your AI workflow, create test cases, select metrics, set baselines, and set up repeatable evaluation checks.
Data Transformation
We turn production examples, edge cases, support issues, and expert feedback into structured datasets your team can use for evaluation.
Agent Reliability Support
We help evaluate tool use, multi-step reasoning, retrieval behavior, memory, and handoffs so agent failures become easier to trace and improve.
Engagement Path
Diagnose
We review your AI workflow, current failures, logs, prompts, retrieval, traces, and evaluation gaps.
Define
We define quality criteria, risk areas, datasets, metrics, and baselines.
Implement
We set up evaluation checks, regression workflows, tracing/replay processes, and reporting.
Operationalize
We hand over documentation, reporting cadence, and recommendations your team can continue using.
Measure first, then improve with confidence
Every engagement gives your team a practical evaluation workflow, clear reporting, and decision-ready visibility into what changed, why it changed, and what to fix next.
Not another AI dashboard
Roro is not a self-serve product your team has to figure out alone. We work with your team to design and implement the evaluation workflow that fits your AI system, your risks, and your production environment.
FAQ
No. Roro is a service partner. We work with your team to design, set up, and operationalize evaluation workflows using the tools and systems that fit your environment.
No. Roro can work with DeepEval, your existing evaluation stack, or help you choose the right setup. The service is focused on creating a practical evaluation workflow, not forcing a specific tool.
Yes. We can review your current evaluations, identify gaps, improve coverage, add baselines, and make the process easier to run continuously.
A typical engagement includes an evaluation audit, failure pattern review, dataset preparation, metric selection, baseline setup, regression checks, reporting structure, and recommendations for ongoing improvement.
What's Included
A clear scope, nothing left undefined
Typical Service Deliverables
Every engagement gives your team a practical evaluation system they can understand, run, and improve, not just a one-time audit or generic report.
Evaluation Audit
Review current AI workflow, failure points, prompts, retrieval, traces, and existing evaluation coverage.
Golden Dataset Creation
Convert real examples, edge cases, and known failures into structured test cases.
Metric Selection
Choose metrics that match your actual risks, not vanity scores.
Baseline Setup
Create a reference point so future prompt, model, retrieval, and agent changes can be compared.
Regression Checks
Set up checks that catch quality drops before changes go live.
Failure Replay Workflow
Create a process to reproduce production issues and identify root causes.
Reporting Loop
Define weekly or monthly reports that show what changed, what improved, and what still needs attention.
Team Handoff
Document the workflow so your team can continue using it after the engagement.
Start with a diagnostic call
Tell us a little about your AI workflow. Roro will review where you are today and suggest the right evaluation setup for your team.
The Right Foundation Changes Everything.
Start with a diagnostic call. We'll review where your AI system is today, identify what's missing from your evaluation layer, and tell you exactly what it would take to fix it before you commit to anything.