01
Minute one
Buy and download instantly
Pay once with Stripe; the download is yours right away.
For indie iOS & Android developers
AI workflows, prompts and scripts for the non-coding side of shipping apps.
Why it's worth €39
Translate .xcstrings and Android strings.xml in minutes. Every placeholder (%@, %1$s, <xliff:g>) is checked by code, and plurals get the right forms per language.
Triage a month of reviews in one run: bug reports grouped by severity, replies within Play's 350-character limit, refunds and legal threats flagged.
App Store title, subtitle and keyword sets that respect 30/30/100 — counted by code, not the model.
Git log to CHANGELOG, plus localized "What's New" under 500 characters for every store locale.
OpenAI, Claude via OpenRouter, Gemini, Mistral, Groq or local Ollama. Scripts write drafts; you decide what ships.
What's inside
One-time payment, instant download.
How it works
01
Minute one
Pay once with Stripe; the download is yours right away.
02
No key needed
run_demo.sh walks every script through the sample files.
03
Your app
Run it on your own app — typical runs cost well under a dollar in tokens.
Built by an indie dev
Made by Abdelfettah Latrache, founder of Nexauva and an AI engineer who ships his own iOS and Android apps. I built these workflows for my own apps first.
No. If you can run a command in Terminal, you can use the scripts. Python 3.10+, nothing to install. Every script has --mock and --dry-run. The prompts work in any chat window without code.
Any OpenAI-compatible API, or a free local model in Ollama or LM Studio. A typical run usually costs well under a dollar in tokens.
No, on purpose. Scripts write drafts to files; you publish yourself.
For major languages with good context it's a strong first draft. New strings are marked needs_review, placeholders and plurals are checked by code, and you get a QA checklist and a back-translation prompt.
The prompts and the ASO, review and release-notes scripts work for any app. Translation scripts read native .xcstrings and strings.xml; the prompts cover ARB/JSON.