Will My Prompt Fit? — the Context Budget Check
Stop guessing whether content fits the model. A budget check before sending: estimated token range, reserved response space, and a fit verdict from Safe to Will Not Fit.
Overview
Most context limit failures happen because nobody did the arithmetic: window minus reserved response equals the real input budget — and token counts were never checked against it. This check does the arithmetic before you send: characters become a content-type-aware token estimate (a range, honestly, not a fake-precise number), the response budget you choose comes off the window, and the verdict is range-aware — High Risk specifically means the limit falls inside the estimate range. The loaded scenario is the everyday case: a substantial draft that fits comfortably, confirmed instead of assumed.
Workflow
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Paste, don't summarize
The real content gives the real estimate — characters, words, and detected content type drive the range.
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Reserve the response
The answer needs room too. Choose how much, and the input budget shrinks accordingly.
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Read the verdict, not the number
Safe through Will Not Fit — range-aware, with the action each verdict calls for.
Why This Works
- The window-minus-response arithmetic catches what raw token counts miss
- Estimate ranges are honest about tokenizer variance — and the verdict uses them
- A verdict with guidance beats a number you still have to interpret
Best for
- Anyone pasting long content into chat AIs
- Workflows that fail intermittently on size
- Pre-send checks before expensive runs
Not for
- Splitting content that does not fit — that's the Long Prompt Splitter's job
- Exact token accounting for billing — this is a planning estimate, not a tokenizer
Use cases
- Confirming a long prompt fits before pasting it
- Doing the window-minus-response arithmetic automatically
- Getting a verdict instead of a raw token number