ServiceEVAL + RELEASE GATES/ llm-evaluation

LLM Evaluation

Evaluation harnesses, regression suites, metrics, and release gates.

Time-to-MVP
2–6 weeks
Integrations
CRM / Ops / API
Quality
Eval + monitoring
Overview
This is for you if…
If you fear regressions after deployment.
If you iterate on models/prompts often.
If you need production control: metrics, drift, alerts.
Overview
Deliverables
Eval datasets
Regression testing
Quality gates
Overview
Outcomes
Stable releases

Regression suite + thresholds.

Objective metrics

Eval dataset + scoring.

Prod control

Sampling + drift + alerts.

Process
Simple 3 steps
01
Discovery

Goals, data, integrations. Short audit + plan.

02
Build

Iterative delivery: prototype → production. Tests + controls.

03
Operate

Metrics, monitoring, drift. Continuous tuning.

FAQ
Short answers
Can we prevent regressions?
+
Yes — automated regression + thresholds per release.
Do you track drift in prod?
+
Yes — monitoring + sampling + alerting.
MULTIVARIATE_MONITORING
ALERTS: ACTIVE
Security + quality
Production controls

Logging, alerts, release gates — with documented operation.

Next step
15 minutes — and scope is clear

We’ll send a short checklist, then propose timeline and first metrics.

Live viewers
9now
real-time
FREE PACK

Get the free resources

Short, high-signal updates + instant access to downloadable templates.

What you get
  • AI prompt templates (business, marketing, automation)
  • Quick audit checklist (web/AI systems)
  • Mini playbook: how to build a RAG system
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By: Dezso Mezo • UseAIEasily