How to use AI Edge Case Generator
- Open the tool and paste a feature, API or form description.
- Optionally add context (feature description, acceptance criteria, environment) — the more concrete the input, the better the result.
- Pick the options (count, output language, focus) and press the action button.
- Review the structured result in the table, then copy or download it as Markdown, CSV or JSON.
AI Edge Case Generator features
- Edge cases across data, timing, state, environment, localisation and accessibility
- Concrete test data for each case (Unicode, boundary dates, empty states, huge inputs)
- Priority and expected behaviour per case
- Markdown, CSV and JSON export
- Choose English, Arabic or Hindi for the generated text — identifiers, HTTP methods and technical tokens always stay in English.
AI Edge Case Generator example
Form → edge cases
Input:
Profile form: names 1–60 chars any script, DOB 18+, optional E.164 phoneOutput:
E-1 Name of exactly 60 Arabic characters with diacritics
E-2 Date of birth exactly 18 years ago today
E-3 Phone with leading + but spaces
…Frequently asked questions about AI Edge Case Generator
Which categories of edge cases are covered?
Data (Unicode, lengths, limits), timing (timeouts, leap days, timezones), state (empty, partial, concurrent), environment (offline, low memory), localisation and accessibility.
Is my input stored?
No. Your text is sent to the Mutqan AI service and the structured result is returned to your browser. We do not store prompts or outputs — only anonymous usage counters used for daily limits.
How many generations can I run?
Anonymous visitors get a small daily allowance per network address; registered users get a higher daily quota. The remaining count is shown under every result.
Can I get the result in Arabic or Hindi?
Yes — choose the output language. Natural-language fields are written in that language while identifiers, HTTP methods, paths and other technical tokens stay in English.
Technical notes
Your input is sent to the Mutqan AI service over an encrypted connection; prompts and results are never stored — only anonymous usage counters used for rate limiting.
The AI must answer with strict JSON that is validated against a schema on the server before anything is rendered; malformed answers are retried once and then rejected with a clear message.