Flamme · B2C · couples app
Give AI a 10-page brief with product details, winning scripts and a master prompt
Team posts ~200 pieces a day from it; winners are fed back in
What they did
What happened
In their words
An Nayal - Full App Growth Guide 2026 - How to Make Viral Content to Get Users & Make Your App Retentive
JosephSo this one would be somewhere around, you know, 0.2 to 0.5. And then, would you have Here's another reaction one. So was there some kind of formula for for writing the hooks to this? Cuz I feel like the the actual demo is pretty straightforward. It's just, you know, showing the features of the app, but then the first 2, 3 seconds seems like it's the hardest part to figure out how to make that engaging.
An NayalWe are operational people, we are not creative people, so what I did is what you would do to operationalize the entire thing, I created playbooks. Playbook would have three big parts. Playbook is this PDF document which my team would feed into AI and get an output. What the playbook would have was three parts. The first part would be around the section A would be product and brand context. It would define the product name, category, what is it in human terms, core features, et cetera.
An NayalThen the second part would be winning script references, where we would put every single winning script we could find, we would put it as a context reference that, "Hey, these are formats which have worked in this category. This is what we want you to take from them, do not repeat them." Section C would be the master prompt, where we broke down a system role: You are a viral TikTok question slideshow copy engine for a couples app called Flamme, your role is to do this, this is the context, this is our output requirement.
An NayalAnd that is how we discovered our winners. We would keep slamming the playbook until we would have something that resonates, and then we would dig down deeper into it.
An Nayal… I would say. One is the initial prompt we set in place. We try to give it as much context as we can. I know people who go to it and say that, you know, "I want to put out a slideshow for TikTok, help me generate something." That is really shallow. I think AI is this tool which works really well the more you give it. The better context it has, the better it knows what is winning, the better it's able to give you something that wins, as well.
An NayalThis is the first thing we do well. We provide a lot of context initially. Like to create each of this playbook, it takes me one working day. It takes me a whole day to put out this entire playbook. I have to collect the right formats, I have to collect the right screenshots, I have to make sure that they are aligned with whatever product is, I have to make sure that I curate the master prompt to firstly, give an output that has potential to go viral, but also give an output for what we need, which means it should have the title slide, it should have these categories, it should have a Nano Banana prompt as well.
An NayalOnce I do all of this, then I put that into AI, and then I test the prompt to see what is the output coming out. If it comes out well, then I pass it on to the team, if it doesn't come out well, then I go all over the process again. This is one of the key steps, which is setting it right in the first go.
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More from this episode
- Relaunch the date planner as an AI relationship coach right after ChatGPT came outDay-30 retention rose from 0.8% to 4.2%, still too low; press but no traction
- Make the daily question for couples the main thing on the home screenDay-30 retention went from 4.2% to ~30%, then 50%, with streak reminders
- Send a friendly morning reminder, then an evening 'your partner will be sad' nudgeDay-30 retention went from 4.2% to ~50% alongside the daily-question redesign
- Hide your partner's answer until you answer the question yourselfCreated a back-and-forth loop credited with lifting retention; no separate number
- Add a home-screen widget showing distance to your partner and days togetherWorked well, per the founder; copied from a competitor; no numbers
- Launch alongside a TechCrunch Startup Battlefield feature800% organic growth in one month; stopped by a trademark letter
- Start charging in a free app when the money runs outBarely survived; the early '15% conversion' counted renewals, so it was inflated
- Pitch big investors on great retention before you have a way to get usersFailed; top firms asked about distribution and no term sheets came
- Scroll TikTok 4 hours a day for 2 months to learn what worksGot the first account getting views, then copied the approach across accounts
- Run 20-30 TikTok accounts on numbered iPhones, 3-4 accounts per phone~50M organic views; host cites ~150K users
- Use one Apple ID on every farm phone to skip repaying for the proxy appFailed: TikTok linked the accounts, one flag hit all; lost 120 work hours
- Under 300 views means a broken account; 300-1,000 means fix the contentTheir working rule for which accounts and formats to fix; no numbers on impact
- Judge app videos by likes and question slideshows by shares and savesLow-like videos rarely drove downloads, even at 1M+ views
- Post slideshows of '5 uncomfortable but healthy questions to ask your partner'Shared a lot, but only 0.05-0.2% of viewers downloaded
- Post videos that show the app in use, not memesApp demos convert 0.5-1% of views vs 0.05-0.2% for memes and slideshows
- Log every post by hand in a spreadsheet and review it every morningForces the team to study why posts fail; no numbers given
- Copy only formats that went viral on small accounts and get 'what app?' commentsAdopted after 50M views brought few conversions; C part learned late
- Run real 'what do I text back?' Reddit screenshots through the app on videoJust started; guest expects 0.5-1% of viewers to download
- Design the app's screens and loading animation to look good on TikTok
Tags: tiktok, ai-content, prompt-playbook, master-prompt, winning-scripts, nano-banana