AI work model benchmark

Before you scale AI further, measure the difference on your own code.

90 minutes, the same code and the same tasks. Two work models in parallel comparison. One report for the decision.

benchmark

2.7

Operational advantage

result of a controlled session

A reference point, not a deployment forecast.

1

organization developer

1

Nexir developer

5

tasks

90

minutes of delivery

1

decision report

Starting point

AI in the team is not yet an advantage.

A controlled comparison shows the difference between the current way of working and the Nexir workflow on the same task scope.

Without a verification session

No measurement

The impact of AI is not measured in a comparable way.

No quality assessment

Speed of changes does not show their technical quality.

Different ways of working

Everyone uses AI according to their own rules.

Decision without comparison

The assessment relies on a presentation, not on work output.

With a Nexir verification session

Same code and scope

Comparison on your repository and tasks.

Two modes in parallel

REF and EXT work in one measurement window.

Work artifacts

Commits, pull requests, work time, and quality review.

Report for the decision

WPO, methodology, and material for the organization.

Process

How does the verification session work?

Four steps, one controlled measurement, and a report with the result.

  1. 1

    Repository and scope

    You point to your own repository or a .

    No production
  2. 2

    Tasks just before start

    Five tasks revealed only on session day.

    Blind Test
  3. 3

    90 minutes, two modes

    The organization developer and Nexir developer work in parallel.

    90 minutesREF and EXT
  4. 4

    Report and decision

    Throughput, artifacts, and quality in one report.

    WPO result

Report

What does the decision-maker receive?

The report shows the WPO result, quality of changes, and repository artifacts.

WPO result

The main metric comparing REF and EXT modes.

REF vs EXT table

Time, commits, pull requests, files, and AI model cost.

Quality review

Completeness, correctness, architecture, and scope of changes.

Material for the decision

PDF, methodology, and reference point for the organization.

Sample report

See a sample session result

The preview covers the result, methodology, artifacts, and quality review.

Work model comparison

Wynik przewagi

5/5 zadań

MetrykaREFEXTΔ
Czas pracy90 min65 min-28%

Methodology

What is the session result based on?

Four principles organize the comparison conditions.

Identical conditions

The same repository, the same scope, and a shared start.

Blind Test

Tasks revealed only before the session begins.

Artifacts in the repository

Commits and pull requests are the basis of assessment.

Quality correction

The result includes a technical assessment of changes.

Safety

Controlled scope. No deployment decision.

The session runs on a limited scope, with no connections to production.

No production

Local environment and an isolated repository fork.

No integration

No connections to internal systems.

No participant evaluation

The comparison covers the work model, not the person.

No commitment

The session does not start deployment.

Preview

What the session looks like in practice

The preview covers preparation, task delivery, and solution review.

Preparation

Repository, checklist, and environment readiness.

Task delivery

One task, recording changes, and a controlled flow.

Solution review

Pull request, quality criteria, and technical comment.

Measure the advantage on your own repository.

You receive a report with the result, method, and artifacts. The decision on the next stage stays with the organization.

View methodology

For technology leaders

90 minutes of task delivery

Artifact-based measurement

Control on the organization side