Useful AI vs subscription theater: judge the work removed

The demo is not the workflow

AI demos compress the interesting ten seconds and hide the operational twenty minutes. A polished paragraph appears instantly, but someone still provides context, checks facts, fixes tone, protects sensitive data, moves the result into the real system, and owns the consequence. The useful question is not whether the model can produce something. It is whether the complete task becomes meaningfully better.

This distinction protects you from subscription theater: paying for access because the product feels like the future while your weekly output stays unchanged. Novelty can be worth experimenting with, but an experiment needs a deadline and a success measure.

Choose one workflow and establish a baseline

Pick a repeated task with a clear beginning and end: turning meeting notes into actions, researching a purchase, drafting a weekly report, cleaning data, creating first-pass social copy, or comparing documents. Measure how long it currently takes, how often it occurs, what quality looks like, and which errors matter.

Then use the tool on the same task several times. One miraculous result and one disaster tell you very little. Track median time, review time, number of corrections, and whether the output reaches the real finish line.

Do not count outputs. Count completed work that no longer requires your full attention.

Calculate net value, not saved clicks

Multiply net hours saved by a reasonable value for that time. Add revenue enabled, costs avoided, or higher completion if you can defend them. Subtract the subscription, setup, integrations, training, review, correction, and switching costs. Also subtract risk when a mistake can create financial, legal, privacy, or reputation damage.

For personal use, the value of time does not need to equal an hourly wage. Recovering two mentally draining hours on Sunday can be worth more than the arithmetic suggests. Just state that it is quality-of-life value rather than pretending it appears as income.

Use AI where review is cheap

The best early workflows have asymmetric review: producing the first version is slow, but a knowledgeable person can quickly verify the result. Summarization, formatting, idea expansion, first-pass analysis, and transformations often fit. High-stakes decisions with hidden errors may not.

Keep a human checkpoint where context, taste, or accountability matters. Good automation moves the human to the part where judgment has the highest return. It does not remove the owner.

• Do not place confidential information into a tool without understanding its data controls.
• Require sources when facts matter and open the sources before publishing.
• Save successful instructions as a repeatable workflow, not a memory.
• Define when the tool must stop and hand the task back to a person.

Kill overlap aggressively

AI subscriptions multiply because each tool has one impressive feature. Once a quarter, list every paid tool and the workflows it owns. If two products perform the same job, choose the one with better output, lower friction, safer controls, or stronger integration. Cancel the other before the annual renewal makes the decision for you.

The goal is not the largest tool stack. It is the smallest stack that reliably produces the outcomes you care about. Complexity has a maintenance cost even when each subscription seems cheap.

The Mr ROI verdict

My bias comes from applied math, supply-chain work, and the kind of research where the output has to survive contact with a real decision. I like AI most when it helps me compare options, structure messy evidence, draft a repeatable tool, or finish analysis that would otherwise remain scattered across tabs. I like it least when it merely produces polished-looking uncertainty.

An AI tool earns its fee when it removes meaningful work after review, improves a valuable outcome, or enables something you consistently could not finish before. It fails when the main output is more drafts, more tabs, and more guilt about unused capability.

Measure one workflow for a month. Keep the tool if the saved work is visible. Cancel it if the benefit still lives in a demonstration rather than your calendar.