# Package proof without fake results

Canonical: https://manyspace.aporia.systems/topics/package-proof-without-fake-results-earn-ai-009
Updated: 2026-10-24

Earning Money with AI · Deliver trustworthy work · EARN-AI-009

- Difficulty: 2 / 5
- Importance: 4 / 5
- Study time: 0.5–1 h

Show an honest before-and-after sample with limits and permission.

## Why it matters

A transparent sample lets buyers judge quality without invented customers, testimonials or earnings claims.

## Where it is used

Publish a permission-safe case sample with labelled inputs, method, acceptance checks, measured result and limitations.

## How you know you have learned it

Complete the scenario checks, explain the decision in your own words, and produce this artifact: Publish a permission-safe case sample with labelled inputs, method, acceptance checks, measured result and limitations.

## Show the full comparison

Hypothetical example: compare equivalent accepted work and include review time.

Show a small input, the method, an output the buyer can inspect and the checks you applied. Use the same task and acceptance criteria for a before-and-after comparison. Report the sample size, timing method and errors or rework. Clearly label synthetic or illustrative data. Get permission before naming a client, sharing their work or quoting them; never fabricate results or testimonials.

You want to demonstrate a source-linked weekly report without disclosing client records.
1. Create an original synthetic dataset and label it as a demonstration.
2. Time both workflows on the same task, including review and corrections.
3. Publish the input, a safe output excerpt, quality checklist and limitations.

The sample supports a narrow claim about this demonstration. It does not establish future earnings or universal time savings.

May you claim a client “saved thousands” from an unmeasured time estimate?

No. Report the actual measurement and assumptions. Do not turn a sample estimate into a verified financial result.

## What you need first

- [Protect client data and reuse rights](https://manyspace.aporia.systems/topics/protect-client-data-and-reuse-rights-earn-ai-008) (required)

## What it opens

- [Reach customers with a relevant offer](https://manyspace.aporia.systems/topics/reach-customers-with-a-relevant-offer-earn-ai-010)