Subscribe here | Unsubscribe here | Oct 30, 2025 | FIV #100

✅ Today’s Checklist:

• Why product market fit is no longer static

• Google Labs just dropped Pomelli—what this means for your ads

• The AI framework you can share to 5x your team’s output

QUICK LINKS

🤖 AI cutting-edge. Google AI Studio now creates whatever you draw on the screen. Vibe drawing > vibe coding.

💡 Ideation. Why creativity loves constraints.

🗣️ AI voice. This AI can (supposedly) replace a 500-person call center. Here are some of the best features to explore.

🚀 Startups. Why product market fit is no longer static.

🎯 AI ad campaigns. Google Labs just released Pomelli. Easily generate scalable, on-brand content to connect with your audience, faster.

While Everyone Fights on Meta and TikTok, the Smart Money’s Moving Here

If the first half of this issue was about working smarter, this part is about spending smarter.

AppLovin just rebranded its ad platform as Axon, and it quietly reopened to new advertisers on October 1st after being completely closed since June.

Access is referral-only and we were given a small batch of invites—perfectly timed for Q4.

👉 Sign up here using referral code TJMMCI1HJG

If you run ads, this is worth paying attention to: AppLovin reaches over 1B daily active users across mobile gaming, yet fewer than 1% of advertisers are on the platform—meaning there’s still major arbitrage potential.

Early eCommerce brands are already seeing META-level performance and up to 20–30% incremental growth.

Plus, new advertisers who spend $5K get $5K in ad credits, and if you use our Founder IV referral code (see below), you’ll unlock an extra $2.5K (that’s $7.5K total in ad credits).

👉 Schedule your personalized walkthrough.

The AI Framework You Can Share to 5x Your Team’s Output

Most teams still treat AI like a novelty.

They poke around in ChatGPT, generate a few bullet points, and call it innovation.

But the founders and employees who get it—who actually know how to structure prompts, chain tools, and automate workflows—are quietly operating on another level.

They’re not just saving time. They’re multiplying leverage.

And that’s the shift happening right now:

AI is the great equalizer for solo founders and it’s the great multiplier for small, lean, ambitious teams.

A handful of smart people who know how to use AI well can outperform teams five times their size.

Step 1: Rethink What a “Team” Looks Like

In 2020, “growth” meant hiring.

In 2025, “growth” means stacking systems that think and build with you.

The modern founder doesn’t scale headcount—they scale capability.

Every employee now has the chance to run their own micro-department using AI.

Here’s what that looks like in practice:

For less than $500 a month, any small business—or even one skilled employee—can do what used to take a full marketing department.

Step 2: Make It About Jobs, Not Tools

Most employees waste hours exploring random AI apps that don’t move the needle.

The fix? Start with jobs to be done, not software to subscribe to.

Ask your team:

You’ll might hear something like this:

1. Generate and validate new ideas.

2. Turn those ideas into content—copy, visuals, or video.

3. Distribute across multiple platforms.

4. Measure what’s working.

5. Iterate quickly.

Once your team defines those five pillars, you can assign AI “co-workers” to each.

Step 3: Build a Company-Wide AI Workflow

If you want your team to adopt this, give them a clear system they can plug into.

Ideas and Insights (Strategy)

Have your marketing or product team start each week by prompting ChatGPT or Perplexity like a research analyst, not a chatbot.

Example:

They’ll get structured, fresh, data-backed ideas in under an hour.

Then they can ask AI to turn the best ones into blog outlines, social hooks, or newsletter angles.

Result: Every team member becomes a strategist, not just a task-doer.

Design and Branding (Visuals)

Replace “waiting on design” with “design on demand.”

Set up Canva templates using your company’s color palette and branding.

Example:

Now anyone on your team can generate on-brand visuals instantly.

Result: Consistent branding without bottlenecks.

Video Content (Creative)

Encourage employees to record short, authentic clips—founder insights, behind-the-scenes moments, customer stories.

Then feed them into Veo 3.1 for social-ready video exports. For podcast style clipping, check out Opus Clip.

Result: Real human content that doesn’t rely on a production crew.

Distribution (Amplification)

Tools like Tweet Hunter, Hypefury, and Buffer can handle scheduling and A/B testing for multiple platforms.

Pair that with ChatGPT to rewrite posts for each channel’s style.

Result: Every message gets 3x reach, 10x consistency.

Analytics (Feedback Loop)

Have your team drop their data into ChatGPT’s code interpreter or Sheets:

Result: Everyone becomes data-literate, not just the analyst.

Step 4: Invest in “Taste Literacy”

The most important AI skill isn’t prompt engineering—it’s taste.

Everyone has access to the same models. What separates great output from generic noise is a well-trained eye.

Encourage your team to build personal “taste libraries”:

• Save screenshots of great design and copy.

• Bookmark websites with strong storytelling.

• Collect examples of campaigns that feel alive.

Then teach them to feed those references back into AI:

Result: Every team member develops an intuitive sense of brand—powered by their own taste.

Step 5: Automate the Mundane, Amplify the Creative

The point isn’t to replace creativity—it’s to protect it.

AI should clear the low-value tasks off the plate so your team can focus on what only humans can do: thinking, connecting, storytelling, innovating.

Every repetitive workflow that gets automated is another hour freed for deep work.

That’s where momentum compounds.

Step 6: Normalize the “AI Check-In”

Here’s a leadership move that changes culture fast:

Add a 15-minute “AI check-in” to your weekly team meeting.

Ask:

1. Which AI workflow saved you the most time this week?

2. What didn’t work?

3. What new prompt or tool should we test next?

It turns AI from an abstract buzzword into a shared team project.

Instead of fearing it, your employees own it.

The Big Picture: AI Is the New Leverage Layer

In every era, technology creates a divide between those who adapt early and those who cling to old ways of working.

This one is no different, but it represents the ultimate way to scale potential.

It’s how small teams punch above their weight and ambitious employees make themselves invaluable.

Founders who encourage AI fluency across their orgs don’t just save money—they build faster-learning, faster-moving companies.

And employees who learn to wield AI effectively?

They don’t just keep their jobs. They future-proof them.

Try This

👉 Forward this issue to your team.

Have each member identify one recurring task they could automate or augment with AI this week.

Then measure the time saved—not in hours, but in creative energy reclaimed.

Because the companies that win the next decade won’t be the ones with the biggest teams.

They’ll be the ones where every person works like a team of five.

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