Useful AI vs subscription theater: judge the work removed

Pick one finished job

I judge an AI subscription by one recurring job I can finish from beginning to end. It might be a weekly report, cleaning a dataset, or comparing two document versions. I count the review and corrections as part of the work, because an impressive first draft that creates more cleanup isn't a productivity win.

Measure the current process before adding the tool:

• How often does the task occur?
• How many minutes reach a finished result?
• What errors matter?
• How much review does the final output require?
• How often does the work get abandoned?

Then run the same job through the tool several times. One impressive result is a demo. A repeatable result is a workflow.

Count net work removed

Generation time is the least useful number. Include setup, prompting, context gathering, source opening, correction, formatting, transfer into the real system, and final review.

Multiply net hours saved by a reasonable value for that time. Add costs avoided or work newly completed only when you can defend them. Subtract the subscription, setup, integration, switching, and review costs.

Personal time does not need to equal an hourly wage. Recovering a draining Sunday task can have real quality-of-life value. Label it honestly instead of pretending it appears as income.

Apply a risk discount

AI is easiest to justify when creating the first version is slow but a knowledgeable person can verify the result quickly. It is harder to justify when errors are hidden and the consequence is financial, legal, medical, privacy-related, or reputational.

Keep a human checkpoint where context, taste, or accountability matters. Require usable sources when facts matter, open those sources, and understand the product's data controls before entering confidential information.

My bias comes from applied math, supply-chain work, and research that must survive a real decision. I value AI when it structures messy evidence or helps finish analysis. I distrust polished uncertainty because reviewing it can cost more than producing the work directly.

Kill duplicate subscriptions

List each paid AI product and the one workflow it owns. If two tools perform the same job, choose the one with the better final output, lower review burden, safer controls, or stronger fit with the system you already use.

Cancel the other before an annual renewal makes the decision for you. A large stack creates maintenance, privacy, and switching costs even when each fee looks small.

Do not keep a subscription because it might become useful. Set a new test only if a specific upcoming job can produce a decision by a fixed date.

Who should not use this audit alone

Do not automate a high-stakes task merely because its time savings look attractive. If you cannot detect a plausible error before harm, the workflow needs stronger controls, qualified review, or a different tool.

This audit also does not value a product that is intentionally entertainment or education. That purchase can be valid, but it should compete with the entertainment or learning budget instead of claiming productivity savings.

The renewal decision

After a month, keep the subscription if the completed work, net time saved, or improved outcome is visible. Downgrade or cancel it when use is sporadic, review erases the speed, another tool owns the same job, or the main output is more unfinished material.

Do not count outputs. Count work that reached done without surrendering responsibility.