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Operations

LLMOps & Evals

Eval harnesses, observability, cost controls, and the release discipline required to keep LLM systems honest as traffic scales and models drift. Production deserves more than a vibe-check.

Eval Feedback Loop

Closed loop

01

Production

Live traffic + traces

02

Telemetry

Latency · cost · errors

03

Eval Set

Golden + adversarial

04

Decision Gate

Promote · roll back · hold

Quality

Cost

Latency

Production exit

Every release ships with eval evidence, not optimism.

Timeline
3-6 weeks
Engagement
Fixed scope
Output
LLM operations framework
Time to Value
1-3 months

Who It's For

  • Teams with LLMs in production needing better observability
  • Companies struggling with LLM cost management
  • Teams needing systematic prompt engineering
  • Organizations scaling from one to many LLM apps

Our Approach

1

Audit

Week 1

Review your current LLM applications, identify gaps in evaluation, monitoring, and deployment processes, and benchmark current performance.

2

Framework Build

Weeks 2-4

Build evaluation suites, set up prompt versioning, implement cost tracking, and create performance dashboards tailored to your use cases.

3

Integration

Weeks 5-6

Integrate the LLMOps framework into your CI/CD pipelines, set up A/B testing infrastructure, and establish automated regression testing.

4

Production Monitoring

Ongoing

Establish continuous quality monitoring, model drift detection, cost alerting, and a feedback loop that turns production signals into eval improvements.

Common Questions

We already have LLMs in production. Can you add evals without disruption?

Yes. We integrate evaluation and monitoring alongside your existing systems. We start with observability (logging and tracing), then layer in automated evals and testing without changing your production code paths.

How do you handle prompt versioning?

We set up a prompt management system that tracks versions, links prompts to evaluation results, and integrates with your deployment pipeline. This gives you a clear audit trail and the ability to roll back quickly.

What kind of cost savings can we expect?

Teams often see significant cost reduction through model routing (using cheaper models for simple tasks), caching, prompt optimization, and eliminating redundant calls. We set up dashboards so you can track savings in real time.

What You Get

  • Evaluation suite with automated tests
  • Prompt management and versioning system
  • Cost monitoring and optimization
  • Model performance dashboards
  • A/B testing framework
  • CI/CD pipeline for LLM deployments

LLM systems that need to run in production.

A 2-week Diagnostic maps your eval gaps, cost pressure points, and observability blind spots — and returns a 30-day plan to fix the ones that actually matter.