Put evidence behind your next agent release

Compare your current agent with the change you want to ship, on the same cases, before the review owner decides.

How a pilot runs

Scope: One workflow, cases you can use, a baseline and the person who will own the reviews. Checks and fee agreed first.
Compare: Baseline and candidate run on the same cases and rubric.
Decide: The review owner reads per-case scores and records Ship, Hold or Needs work.

Hypothetical workflow · no customer results

Policy Q&A: when the right answer is a question

Someone asks whether water damage is covered but leaves out the cause. A good agent asks for the cause instead of ruling on coverage. Hold the change if that check fails, even when the overall score rises.

Fictional design. No outputs, scores or release decision are claimed.

Try a local code check

One code change. Six checks.

Convert a title to a URL slug. Inspect a failed check, then compare the fix.

Input: "Hello, world!"
Expected: "hello-world"
Actual: "hello,-world!"

Fail: punctuation remains in the result.

Local, self-reported results from the included sample files. No agent or model was called. This is not a customer run or a platform-verified evaluation.

Run this example

Agreed before starting

Where it runs: Hosted, a local model with hosted judging, or fully local CLI. Compare paths
Sandboxes: Python sandboxes are built; hosted validation is pending.
Traces: Best-effort metadata, only when authorized. Limits
Releases: A person approves; you deploy. No model-weight training.
Hosting: Versalist Cloud today. Your own Google Cloud project and on-premises installs are not available yet. Deployment options · Security and data handling

Hands-on help

A one-hour advisory session or a two-day team workshop, both paid. We agree the work and price before booking.

Book a session

Start with one workflow

A 30-minute call with Brij Singh to confirm fit.

Request a demo