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Selling inside ChatGPT sounds like easy money with big traffic, built-in AI and fast checkout. But once you look closer, there are trade-offs you definitely need to know.
What's on FIRE 🔥
IN PARTNERSHIP WITH APPGEN
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✅ Stunning UI generated automatically
✅ Monetization, payments, auth, and database included
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You can even clone real apps from the community to kickstart your next build. Why wait months or pay dev teams when AI can build your app today?
👉 Try it now, it’s FREE to start.
AI INSIGHTS
If you’re building a ChatGPT app and wondering how to make money from it, OpenAI just clarified what’s possible and what’s coming next. It definitely has huge benefits.
1/ First, Current Monetization Option: External Checkout (Available Now) → This is the supported way to monetize ChatGPT apps today. You handle payments
2/ Coming Soon: Instant Checkout (Private Beta Only) → This is built-in checkout inside ChatGPT, but only for select marketplace partners right now.
But we did a little research on this. Although OpenAI is your dream channel with nearly 1 billion users already onboard, there’re still some major trade-offs:
Your brand might disappear → Buyers may think “I bought this from ChatGPT,” not from you. You’re just the engine behind the scenes
You become just another option → When native checkout expands, you’re just 1 of many sellers. There’s no brand loyalty
You’ll have to pay to get seen → Just like Google Ads, whoever bids the most gets listed first, that kills profits, especially for small businesses
If the AI says something wrong, you pay → If ChatGPT makes a false promise or explains your product badly, customers will blame you
Some products just won’t work here → Fashion, beauty, decor, anything visual, emotional, or complex doesn’t sell well through AI chat
Selling in ChatGPT is great to get started, but dangerous to rely on long-term. It’s a good place to test a product, but not to build a business. Because in the end, ChatGPT sells convenience, not your company.
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AI SOURCES FROM AI FIRE
1. One “Super Agent” update changed how you work. Can ChatGPT compete or not? How this actually works, how it beats GPT-5 & when it’s worth paying for
2. Code Red: ChatGPT Ads are about to replace Google keywords. Here’s how you can test cheap intent before it gets expensive in 2026
3. Here’s how I’d learn n8n from Zero in 2026. The only 10-min n8n guide you need to fix 90% beginner mistakes & build your own effective systems
DAY 2: BEGINNERS DAILY AI PLAN
Yesterday, we zoomed out & discussed: What AI is + What’s worth paying attention to & How not to get lost in the hype.
Today, we zoom in. You’re gonna see what tools people are actually using to get work done faster in marketing, writing, sales, productivity, business, research, and more.
This is your AI toolbox, we promise it’s not “1000 AI tools you’ll never open” → Read full list below
This list is just a starting point. There are literally thousands of tools now for thousands of tiny tasks. If you’re looking for something specific, just ask.
Seriously, DM me anytime here (pls log in first so I know who you are)
→ I'll reply in under 24 hours. Unless it’s the weekend, then maybe 48. We’re real humans, guys. Some of y’all assume we’re AI… that hurts 😅
TODAY IN AI
AI HIGHLIGHTS
⚡ Google just dropped Gemini 3 Flash. As its name, it's blazing fast & even beats Gemini 3 Pro in coding benchmarks. Everyone can try it for free or see it in action first.
🚨 In case you missed this good offer, Perplexity Pro is FREE for a full year when you connect your Venmo account (ends Dec 31, 2025). Go claim this deal before it ends.
💡 Don't let AI info-dump on you, try the “Feynman Loop” prompt instead. AI will teach you until you can teach it back. Save this prompt in a project & use it forever.
🤖 Besides looking for em dashes, here're 5 ways you can do to spot AI content. Be sure to read the comment section, it's a war zone down there & it’s truly interesting.
📊 For any marketers reading this, Semrush launched its app inside ChatGPT. You can access live data, automate reports or analyze competitors just by typing. See it here.
💰 Big AI Fundraising: Databricks raised $4B at a $134B valuation, up 34% in just 3 months. It now brings in $1B+ annually, with total run-rate revenue hitting $4.8B.
Step 1: Paste your website URL and answer a few quick questions
Step 2: AI Society simulates 1,000 real customer visits
Step 3: Let AI personas reveal friction and confusion
Step 4: Get specific, actionable conversion recommendations
Step 5: Refine your messaging, pricing, or layout before launch
Test your site with AI customers before real users see it
NEW EMPOWERED AI TOOLS
⚡ Gemini 3 Flash is Google’s latest frontier intelligence built for speed
🎨 AirOps combines 40+ AI models, unique brand assets to turn your creative growth ideas into reality
🎅 Synthesia Santa easily create a personalized Santa video for your loved ones
🎥 Wan 2.6 creates 15-second 1080p videos with multiple connected shots, Alibaba’s new model
AI BREAKTHROUGH
Agent Scaling across model intelligence and system architectures
Multi-agent systems sound great in theory, just throw more smart bots at a problem and it should get solved faster, right? Not exactly 😶
A new joint study from Google and MIT just ran 180 experiments using models from OpenAI, Google, and Anthropic to test this theory. Here’s how it broke down:
Financial analysis tasks (e.g. splitting data across agents)
➤ +81% improvement with multiple agents!Minecraft-style tasks (requiring step-by-step reasoning)
➤ Performance dropped by up to 70%If a single agent already got 45%+ accuracy on a task
➤ Adding more agents made things worse
Why? Cause multi-agent setups burned through tokens, duplicated reasoning steps, and overcomplicated workflows that needed precision. A single well-engineered agent may beat a fancy multi-agent team, and do it faster and cheaper.
We write about this because agent stacks are everywhere in startups, hackathons, even big enterprise tools. Many systems may actually introduce fragility instead of solving hard problems → More AI ≠ More IQ.
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Cheers,
The AI Fire Team
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