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Prompt Engineer.

Prompts as production code. Versioned, tested, evaluated, audited.

A prompt-engineering surface on the Netwit Agentic OS runtime. Versioned prompts, regression tests, MCP contracts, and an audit trail for every model call.

Netwit orchestration diagram showing the prompt engineer surface routing model calls

Prompt Engineer is a prompt-engineering surface for the operator who treats prompts as production code. Prompts are typed — input schema, output schema, tool calls, fallbacks — all in the same file, all in version control. The test set is generated with the prompt and committed alongside it. The eval harness runs on a schedule. Multi-model routing is on by default. The MCP contract is enforced. The audit trail is the prompt log. Prompt Engineer is a tool inside the VZU family, operated by Virtual Zero Unbound Inc.

The deep view

On typing, regression, and the audit trail.

The point of Prompt Engineer is the typing. A prompt is not a string in a config file. A prompt is a typed artifact with an input schema, an output schema, tool calls, and fallbacks. The contract is the contract. The agent writes the prompt, the contract, and the test set at the same time. The diff is in the repo. The reviewer agent reads the diff before the prompt is allowed to ship.

The regression tests are the safety net. The agent writes a test set, the test set is committed, the test set runs on every change. The eval harness reads the result. Pairwise comparison, single-rating, golden set — the operator picks the harness, the agent runs it on a schedule. The weekly eval summary lands in the inbox. The reviewer agent flags the regressions before the prompt is allowed to ship.

The MCP contract is the integration story. Every tool call is typed, every input is validated, every output is parsed, every call is logged. The contract drift is caught by the reviewer agent before the prompt is allowed to call the tool. The multi-model routing is on by default — the operator can route the same prompt across two models, read the diff, ship the better one. The routing decision is recorded in the prompt log.

The audit trail is the prompt log in the repo. Every change, every test, every eval, every routing decision. Not in a vendor dashboard, not in a Slack channel, not in an email thread. The audit trail of the prompt is the prompt. The operator can read it, version it, branch it, hand it to another team. The prompt is a real artifact with a real history.

The process

How it works.

  1. 01.

    Write the prompt.

    The prompt is typed: input, output, tool calls, fallbacks. The agent writes the test set with the prompt. The contract is the contract. The prompt is production code from the first commit.

  2. 02.

    Test + evaluate.

    The test set runs on every change. The eval harness reads the result. The reviewer agent flags regressions. Multi-model routing is configured at the same step. The eval is on a schedule.

  3. 03.

    Wire the contracts.

    MCP server contracts are typed, every tool call is validated, every output is parsed, every call is logged. The contract drift is caught by the reviewer agent before ship.

  4. 04.

    Ship + log.

    The prompt lands in the runtime. The routing decision is recorded. The audit trail is the prompt log. The weekly eval summary lands in the inbox.

Vancouver engineering desk, running the Prompt Engineer eval harness

Where the work happens

Tested in Vancouver. Routed everywhere.

The Prompt Engineer surface is operated out of three VZU offices. The eval harness runs overnight, the prompt log lands in the repo, the contract drift is caught before the prompt is allowed to call the tool.

In production

What operators run with it.

Regulated firm

A regression test set on every change to a customer-facing extraction prompt.

With a humans-in-the-loop override on the eval threshold. The prompt log is the regulator's form. The reviewer agent caught a contract drift in week 4; the team fixed it before it shipped.

SaaS classification

Multi-model routing on a classification prompt.

Read the diff, ship the better one, with a weekly eval summary. The routing decision is in the prompt log. The reviewer agent catches the regressions. The override rate dropped 40% in the first quarter.

Enterprise agent

A multi-step agent prompt with MCP contracts for every tool call.

Audit trail in the repo. The reviewer agent flags a contract drift on day 14; the team fixes it before it ships. The eval harness runs overnight, the summary lands in the inbox.

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On the runtime

Same runtime. Same audit trail.

Prompt Engineer is a configuration of the Netwit Agentic OS runtime. The runtime enforces RBAC at the agent level, ships the audit trail by default, and deploys in cloud, hybrid, or on-prem modes. The prompt log in the repo is the audit trail.

The VZU platform, in detail →

Questions

Frequently asked.

What is the Prompt Engineer surface?
A prompt-engineering surface on the Netwit Agentic OS runtime. Prompts as production code, with regression tests, eval harnesses, MCP contracts, and an audit trail in the repo.
Are prompts versioned?
Yes. Every change is a diff. Every test runs on every change. The prompt log in the repo is the audit trail of the prompt.
What about multi-model routing?
Yes. The operator can route the same prompt across two models, read the diff, ship the better one. The routing decision is recorded in the prompt log.
What does the eval harness support?
Pairwise comparison, single-rating, golden set. The operator picks the harness, the agent runs it. The eval is on a schedule, with a weekly summary.
How are MCP contracts enforced?
Every tool call is typed, every input is validated, every output is parsed, every call is logged. The contract drift is caught by the reviewer agent before ship.
Is Prompt Engineer part of the VZU family?
Yes. Same Netwit Agentic OS runtime as the rest of the portfolio. Operated by Virtual Zero Unbound Inc.

Get in touch

Brief VZU on Prompt Engineer.

Email the team. Reply in one business day. The pilot is priced, the rubric is configured, the ship date is real.