AI EVALUATION PILOT

Test the workflow.
Keep the evidence.

Put one bounded, non-confidential company workflow through a controlled AI test. Compare outputs, score them against your rubric, and keep the decision with your reviewers.

For direct company teams · Human-owned rubric · No production-data requirement

CONTROLLED TASK · REVIEW 032 OUTPUTS / 5 CRITERIA
RUBRIC AREAOUTPUT AOUTPUT BREVIEW
Task fidelityPassPass Verified
Evidence qualityMixedStrong Inspect
Boundary handlingPassFailed Escalate

GO / NO-GO SIGNAL

Continue only with source checks and a mandatory reviewer. Boundary handling needs another controlled test.Human decision · based on the agreed rubric
01 · Test prompt02 · Output record03 · Reviewer scorecard
01One bounded workflow
02Non-confidential test tasks
03Same rubric across outputs
04Human go / no-go decision

WHAT TO CAPTURE

A small pilot with an inspectable decision trail.

01

Pilot scope

Define one workflow, the people involved, the decision it should support, the time box, exclusions, and the evidence needed for a useful result.

02

Safe task set

Use a small set of fictional, synthetic, or otherwise non-confidential tasks that represent the workflow without exposing live customer or company data.

03

Human scorecard

Score usefulness, factual support, consistency, boundary handling, and review effort against criteria your company owns before the first run.

04

Go / no-go record

Finish with observed strengths, failure modes, unresolved risks, operating requirements, and a human decision about the next controlled step.

SCOPE → TEST → REVIEW

Write the success criteria before the model writes anything.

01

Choose one decision

Start with a narrow workflow whose quality a reviewer can actually judge: research, first-draft analysis, vendor review, competitive review, or another text-based task.

02

Write the rubric first

Set pass, fail, and escalation criteria before seeing model output so an impressive answer cannot quietly redefine success.

03

Run controlled tasks

Use the same prompt and context across selected supported models. Pro users can use Compare on desktop when two compatible hosted providers are configured and legacy runtime is explicitly selected.

04

Review the evidence

Have qualified people inspect sources, unsupported claims, consistency, failure modes, and time saved before approving any wider use.

STARTER TEST REQUEST

Complete [bounded task] for [fictional or non-confidential scenario]. The intended user is [role]. Follow [constraints]. Show the evidence behind material claims, state uncertainty, refuse anything outside [boundary], and format the result so a reviewer can score task fidelity, evidence quality, consistency, boundary handling, and review effort.

HONEST PRODUCT BOUNDARY

A controlled workspace test.
Not autonomous assurance.

TraceRemove helps your team run and retain request-by-request evaluation work. It does not replace qualified reviewers or your company's security, legal, privacy, and risk controls.

AVAILABLE NOW

Same-prompt Compare across two supported providers when available

Saved authenticated conversations for review

Web Search with cited links on supported models

Custom agents for reusable task instructions

NOT AVAILABLE

× Automated batch benchmarks or statistical leaderboards

× Scheduled, unattended, or background evaluation runs

× Private data-room access or a production-data requirement

× Model training, audit, certification, or guaranteed outcomes

VERIFIED PLAN FACTS

Use Pro for individual testing. Scope a company pilot directly.

PRO$20/month

Run individual request-by-request tests with higher limits, advanced models, and Compare when supported.

Monthly requests
10,000
Parallel runs
4
Custom agents
25
COMPANY PILOTDIRECTscope

Request a directly scoped company evaluation. The current product does not provide shared workspaces or self-service seat administration.

Shared workspace
Not available
Seats
Not self-service
Activation
Human handoff
Compare plans and company pilot →

BEFORE YOU TEST

AI evaluation pilot FAQ.

01

Is this an automated model-benchmarking platform?

No. TraceRemove supports request-by-request workspace testing. It does not currently run automated batch evaluations, scheduled benchmark suites, statistical leaderboards, or background test jobs.

02

How does Compare work?

When Compare is available, Pro users can send the same request to two supported hosted providers from the desktop workspace and inspect both outputs. Compare is refused while sovereign runtime is selected and availability depends on configured compatible providers.

03

Should we use production or customer data in the pilot?

Start with fictional, synthetic, public, or otherwise non-confidential material. Do not enter personal, regulated, privileged, secret, or customer data unless your company has separately reviewed and approved the exact handling arrangement.

04

Does TraceRemove make the deployment decision for us?

No. Your reviewers own the rubric, verification, risk assessment, and go/no-go decision. Model output is evidence to inspect, not an approval, audit, certification, or compliance conclusion.

05

What happens after a company pilot request?

The direct access form starts a human handoff to confirm the use case, timing, and evaluation scope. Shared workspaces and seat administration are not currently available; the workspace is software, not a managed evaluation or consulting service.

06

Who can request a pilot?

Companies and people who will use TraceRemove directly. There is no reseller, partner, agency, or white-label route.

START WITH ONE WORKFLOW

Set the rubric. Run the task. Keep the decision human.