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tutorials · 1 min read

Tutorial: Evaluate a Prompt Change Before Shipping

Use the eval harness to compare two prompt versions on a curated dataset - and decide which to ship.

BABhogar AI TeamProduct & Engineering

Shipping a prompt change without an eval is a leap of faith. This tutorial sets up an eval that catches regressions in minutes.

Why it matters

You will compare prompt v1 and v2 on a 50-sample golden set across three metrics (faithfulness, relevance, latency) and pick a winner.

How Bhogar AI approaches it

Create eval dataset, define metrics, register both prompts, run eval, review per-sample diffs, promote the winner.

  • Create golden eval dataset (50 samples)
  • Define faithfulness, relevance, latency metrics
  • Register both prompt versions
  • Run eval and review diffs
  • Promote the winner

What you get

Five minutes from "we changed the prompt" to "we shipped the better prompt with evidence".

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.