# AI release evaluation and regression review

Elkwai Solutions workflow starter · 2026-10-10

Planning example, not a client result or quote. Nothing is sent or purchased. Do not include passwords or confidential records.

https://elkwai.com/workflows/ai-release-comparison

## The problem

- A new prompt or model looks better on an average while missing results, changing labels or breaking expensive edge cases.

## Simpler alternatives

- Use a fixed baseline and reviewed cases before sweeping parameter variants. Compare evidence under the same workload; hold back independent cases for confirmation.

## Inputs

- Stable case IDs with reviewed expectations
- Baseline and candidate recorded outputs
- Observed costs, latency and failure or missing-result status

## Delivery sequence

- Check expected outputs, schema and quoted evidence against recorded results.
- Compare paired baseline and candidate runs using the same case IDs.
- Inspect per-case regressions, sample uncertainty, costs and tail latency.
- Retain a release decision and held-out confirmation; connect repeatable checks to private CI if useful.

## Acceptance

- Missing cases are not silently removed from the denominator.
- Every reported improvement has a comparable baseline.
- A small evaluation is not marketed as guaranteed future performance.

## Measure

- Paired wins, regressions and missing results
- Pass-rate uncertainty and costly error classes
- Observed cost per completion and tail latency

## Full cost consideration

- Count test creation, reviewer time, provider calls, CI operation and regression triage. Recorded comparisons do not themselves call a model or prove a causal business improvement.

## Tools available now

- Check expected outputs: https://elkwai.com/ai-output-regression.html
- Compare recorded AI runs: https://elkwai.com/ai-run-comparison.html
- Review evaluation confidence: https://elkwai.com/ai-evaluation-confidence.html

Tools do not automatically transfer data or execute a production integration.

## Separate buying paths

- Developer Assurance Kit: $79 one time. https://elkwai.com/developer-assurance-kit
  Kit 1.1.0 does not include every free analyzer, model calls, hosted CI or a security certification.
- AI workflow pilot: Quoted after scoping. https://elkwai.com/ai-workflow-pilot
  Connected intake and private knowledge are commissioned work, not connectors already included in the free beta.

## Your project notes

Current task:
Desired result:
Existing systems:
Target timing:
Acceptance owner:
Setup and operating costs:

Freed time is capacity, not automatically cash savings. Product scope, checkout and the accepted written quote control delivery.