Reserve answer capacity
Subtract the intended response allowance from the usable model context before adding input material.
PROMPT CONTEXT BUDGETER
Allocate a model token limit across instructions, code, logs, documentation, and examples, then identify what to keep, summarise, or omit.
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Complete every field. The result updates only when you choose Calculate.
Subtract the intended response allowance from the usable model context before adding input material.
The tool totals instructions, code, logs, documentation, and examples against the remaining budget.
Keep exact task signals and summarise repeated, generated, older, or unrelated material first.
Continue learning: AI coding tool limitations compared · Evaluate AI coding tools for your team
Use the tokenizer for the specific model when available. Character and word conversions are approximations and vary by language and content.
No. Relevance and clarity matter more than fullness, and the model needs room to reason and return the requested output.
Keep exact instructions, relevant interfaces, failing errors, important constraints, and small representative examples when wording affects the task.
| Feature | MVPHub | GitHub Copilot | Cursor |
|---|---|---|---|
| Focused input-based assessment | Included | Limited | Limited |
| Transparent calculation | Included | Limited | Limited |
| No repository access required | Included | Limited | Limited |
| Workflow-specific next steps | Included | Limited | Limited |
GitHub Copilot and Cursor manage code and instruction context inside their coding workflows. MVPHub is a model-agnostic arithmetic budget planner based on token counts supplied by the user.
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