OPERATIONS DESK / AI CONTENTLOCAL MODEL
From components to capacity

Can your content machine keep up?

Turn script, voice, face, and review time into a transparent monthly capacity decision. Every number is yours; every assumption stays visible.

Enter your operation

interpreted result
10.0 h

Within capacity

Your stated target needs 10.0 hours, leaving 10.0 hours of headroom. The next decision is where review quality matters most.

largest stage: script
Worked reasoning: 12 videos × 50 minutes = 600 minutes = 10.0 hours.

Capacity arithmetic follows entered stage time and monthly volume

Read the explanation

The saved content capacity planner sums four user-entered stage times: script twenty minutes, voice ten, face eight and review twelve. They total fifty minutes per video. At four pixels per minute the stages occupy eighty, forty, thirty two and forty eight pixels, summing two hundred. The largest single stage is script at twenty, chosen by a strict greater-than comparison; ties retain the earlier stage in source order. This is an arithmetic workload budget. It does not call a writing model, synthesize speech, render faces or measure quality. Enter your own observed times, since the default values are editable assumptions and the source post identified no tools or timing guarantees. Twelve monthly videos multiplied by fifty minutes is six hundred minutes, divided by sixty gives ten hours. Available capacity twenty hours leaves ten hours headroom, so within capacity is displayed. At ten pixels per hour demand measures one hundred pixels, available capacity two hundred and remaining headroom one hundred. Changing monthly volume to thirty with unchanged stage times gives one thousand five hundred minutes or twenty five hours, exceeding the twenty-hour capacity by five. Equality is accepted because the code uses less-than-or-equal. This is total labor arithmetic, not a scheduling model; it does not overlap stages, account for retries or predict how many parallel workers a real system can run. Every numeric input event stores the current scenario in local storage and redraws the result. The next-step note is also stored locally. Reload can restore those values, while Reset restores the six default inputs and blank note then removes the stored scenario. Export downloads a JSON brief containing numeric inputs, monthly hours, feasibility, signed headroom, largest stage and your note. On the thirty-video scenario demand twenty five and capacity twenty export headroom is minus five. At eight pixels per hour demand measures two hundred, capacity one hundred sixty and the five-hour excess forty. Export arithmetic rounds hours to two decimal places, while the visible result rounds to one. It is a local planning brief, without any automated content generation, backend delivery or actual production throughput evidence.

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