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AI & AutomationGenerated accuracy model review: 2026-05-06
AI App Cost Planner accuracy and testing
This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.
Formula source
- Monthly cost = requests * cost per request + vector storage + review labor + fixed platform cost.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Monthly Active Users: 1,500
- Requests per User: 35
- AI Cost per Request: $0.02
- Vector Storage: 80 GB
- Storage Cost per GB: $0.25
- Human Review Hours: 24 hr/mo
- Review Hourly Rate: 55 $/hr
- Fixed Platform Cost: 350 $/mo
Expected outputs
- Monthly Cost: $2,635.00
- Cost per User: $1.76
- Monthly Requests: 52,500
Known limitations
- This workflow is a planning aid. Validate assumptions, rates, legal/compliance obligations, vendor quotes, and local policies before acting.
Assumptions
- All values are user-entered planning assumptions.
- Calculations run locally in the browser.
- Saved artifacts are stored only when a signed-in user explicitly saves them.
Unit handling
- Monthly Active Users accepts numeric values.
- Requests per User accepts numeric values.
- AI Cost per Request accepts values in $.
- Vector Storage accepts values in GB.
- Storage Cost per GB accepts values in $.
- Human Review Hours accepts values in hr/mo.
- Review Hourly Rate accepts values in $/hr.
- Fixed Platform Cost accepts values in $/mo.
- Monthly Cost is displayed as currency.
- Cost per User is displayed as currency.
Rounding rules
- Number displays use up to 2 decimal places in the calculator UI.
- Currency outputs are displayed with standard US dollar formatting.
- Input precision follows configured step values where provided.
Version history
1.0.0 - 2026-05-06
Generated accuracy and testing page from the current ai-app-cost-planner calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for AI App Cost Planner.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.