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Build · Improve reliability

LLM Eval Harness

Check AI output quality before the next model change.

Build an evaluation suite around your prompts, example inputs and expected outputs, so your team can test changes against the work the system is meant to do.

$15,000USD · project price

Published timing: 7 days
Final scope and timing are confirmed before work begins.

Illustrative workflow
  1. Task examples
  2. Regression tests
  3. Change decision

The shape of the scoped work, not a client result or a finished-product screenshot.

The work today

A starting point you can recognize.

Prompts, example inputs and expected results.

There is no repeatable regression test for the team’s actual tasks.

The progress to work toward

Check quality before a prompt or model change is released.

An evaluation suite and regression harness built around agreed examples.

The engagement is scoped around your inputs and acceptance criteria. The outcome is a goal, not a guarantee.

A concrete engagement

What you receive. What you bring.

Included in the scope

  • An evaluation suite and regression harness built around agreed examples.
Read the original advertised scope

When your vendor updates the model, you find out from a user complaint. I build an evaluation suite and regression harness so quality regressions surface in a test run, not in production.

Inputs for the conversation

prompts + example inputs and expected outputs

Discuss access requirements first. Do not send passwords or private customer data in a public enquiry.

Agree how to judge it

A known-good candidate and a deliberate regression producing different test results.

An example to agree during scoping, not a claim that this evidence has already been produced for your project.

A useful fit

Consider this when…

You can supply representative examples and define acceptable results.

A different starting point

Choose another path when…

You mainly need live alerts or have not yet defined what a useful output looks like.

An existing native feature or a smaller change may be sufficient. The call should establish that before a build is proposed.

Evidence, with its limits

Know what you can inspect.

The process diagram explains the mechanism. It is illustrative, and it does not establish results for your workload.

  • Published scope ↗

    The published offer establishes the advertised scope. It does not establish results for your workload.

Ask to review a relevant example and agree the evidence your engagement will produce before committing.

Before you commit

A clear scope comes first.

Price basis. $15,000 USD · published project price. Scope, timing and fees are confirmed in the proposal.

Operating costs. Model usage, hosting and any agreed ongoing support are separate where applicable.

Build payments. The services page advertises 50% at kickoff and 50% at delivery for builds. Confirm the applicable payment schedule in your proposal.

Support and cancellation. Confirm support coverage, cancellation and rescheduling terms before committing. A refund policy is not specified here.

Read the existing service terms ↗

Your next step

Bring the work to the conversation.

Review your selected engagement, then choose a discovery-call time. Scope, fees and dependencies are agreed before work begins.

Review & discuss this scope

No payment is taken on this page.

A closer look

Which scope fits your work?

Prices describe different engagements. Final scope, timing and fees are confirmed in the proposal.