AI product team · 2026

LLM Evaluation & Quality Harness

An evaluation harness that scores LLM answers for accuracy, safety, and groundedness before each release.

Client

AI product team

Role

Project Manager

Timeline

Apr 2026 – Aug 2026

Domain

AI / Quality

Approach

Agile

Team size

5–9

Budget

Up to $250K

Objective

Deliver a repeatable evaluation harness so teams can score model and prompt changes against a shared quality bar before shipping.

What I did

• ▸ Defined quality criteria and release gates with product and AI leads
• ▸ Coordinated dataset design, scoring jobs, and reporting
• ▸ Planned sprints and tracked eval coverage across features
• ▸ Set up regression alerts when quality dropped
• ▸ Rolled the harness into the existing release process

Key deliverables

• ▸ Evaluation datasets
• ▸ Scoring pipeline
• ▸ Quality dashboards
• ▸ Release gates
• ▸ Team rollout

Outcome

Gave the team a shared quality bar, catching regressions before they reached users.