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TL;DR
Rayu (co-founder of Women in AI) walks through AI tools that shorten the path from idea to user’s hands — Copy.ai, Canva, ChatGPT/Bard, Durable, 10Web for copy, creative, and websites — while stressing that human + AI beats full automation, and you must always A/B test the output. Integrating AI inside the app (moderation, assistants) also lifts retention and revenue. This source belongs to the app-masters-youtube batch.
Biggest lessons
- Pick tools by problem, budget, and hands-on style. Copy.ai (free seat, prompt templates, marketing OS) is the standout for ads/promo copy and Google Ads variations; Canva for fast visual content; ChatGPT/Bard for push notifications and descriptions.
- AI compresses the marketing workflow — copywriting that used to need days of back-and-forth and approvals now goes ideation → user’s hands in minutes.
- Prompt with an existing example and specify tone/format — feed it a past push notification, ask for Gen-Z or holiday tone, paragraph not bullets; ChatGPT is weak on character limits, so iterate.
- AI inside the app lifts metrics — content moderation (Spectrum Labs at Together Labs) cut toxic behavior and lifted retention/ARPU ~20%, since 80%+ of US gamers face harassment.
- Apps that use AI grow faster than those that don’t (per data.ai); Steve uses AI for app names, descriptions, and in-app events for ASO/conversions.
- Always A/B test and human-check — AI is not perfect; the “I need / I wish / I want” problem-statement prompt surfaces ad-copy angles to test on Facebook.
Why it matters
- Maps the practical AI toolchain onto the wiki’s content and ASO workflows — fast copy/creative generation for the no-budget operator.
- Reinforces the human-in-the-loop + test-everything discipline central to the wiki’s growth approach.