Name the measured bottleneck
A specific, measured problem, not a vague 'the app feels slow' complaint.
MEASURABLE OPTIMIZATION PROMPT
Define the measurable bottleneck, constraints, baseline, and validation method for an AI-assisted optimization task.
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.
A specific, measured problem, not a vague 'the app feels slow' complaint.
Without a number, you can't objectively confirm the optimization actually worked.
What 'better' means, what must not break, and exactly how you'll measure the result.
Continue learning: Performance optimization with AI agents
Without a measured baseline and a specific target, there's no way to confirm whether an AI-suggested change actually improved anything or just felt different.
Anything that must not change as a side effect of the optimization — API contracts, memory limits, behavior for edge cases — otherwise an agent may trade one problem for another.
Measure it first. A rough baseline (even from browser dev tools or a simple timer) is far better than optimizing blind.
Each of the four sections is checked for enough real content; a numeric check on the baseline specifically flags when it's missing an actual measurement.
| Feature | MVPHub | Lighthouse | New Relic |
|---|---|---|---|
| Structured 4-section optimization prompt | Included | Not included | Not included |
| Baseline-number sanity check | Included | Not included | Not included |
| No account required | Included | Included | Not included |
| Actual performance measurement/profiling | Not included | Included | Included |
Lighthouse and New Relic measure real performance data. This tool helps you turn that measured data into a well-formed optimization prompt with a validation plan built in.
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