Generate consistent brand assets across campaigns

Hey AI Enthusiast,

Black Forest Labs just dropped Flux.2 this week.

Four new AI image models designed to challenge Midjourney and the new Nano Banana Pro.

The standout? Multi-reference conditioning. You can feed it up to 10 reference images and it maintains character, layout, and style across all of them. At 4-megapixel resolution.

They're also crushing on price. Flux.2 Pro costs $0.03 per megapixel. Nano Banana Pro charges $0.134 per 1K-2K image. That's 4x more expensive.

But the real story isn't about image generation getting better and cheaper.

It's about what's coming next for how we build customer experiences.

And it's going to make traditional funnels obsolete.

But first, today's prompt (then the future of customer journeys...)

🔥 Prompt of the Day🔥

Landing Page Copy Architect

Act as a conversion copywriter. Using Claude, create one landing page copy framework for [OFFER TYPE] that maximizes conversions.

Essential Details:

• Offer Type: [LEAD MAGNET/PRODUCT/WEBINAR/TRIAL]

• Target Conversion: [CURRENT VS GOAL %]

• Page Length: [SHORT/MEDIUM/LONG]

• Traffic Temperature: [COLD/WARM/HOT]

• Unique Mechanism: [KEY DIFFERENTIATOR]

• Social Proof Available: [TESTIMONIALS/STATS]

Create one copy framework including:

1. Headline formula bank (10 variations)

2. Claude prompts for each page section

3. Benefit vs feature converter

4. Objection handling placement

5. CTA optimization strategy

6. Trust element integration

Build converting pages with Claude.

🔮 Future Friday 🔮

Marketing Funnels Are About to Die

By 2029, traditional marketing funnels won't exist.

Not because they're broken. Because AI will replace them with something better.

It's called Autonomous Micro-Journey Sequencing.

And it changes everything about how we think about customer experiences.

What It Actually Is

Right now, we build funnels. Awareness → Interest → Decision → Purchase. Pre-designed page flows. Fixed email sequences.

Everyone gets the same journey. Maybe we add some basic personalization. But the structure stays the same.

AMJS flips this completely.

AI watches user behavior in real time:

• Scroll speed

• Hover patterns

• Pauses and rage clicks

• Abandonment signals

• Content preferences

• Returning sessions

Then it predicts the next best micro-step for that specific person.

Not the next email. Not the next page.

The next atomic experience unit.

Could be:

• A 10-second product demo

• A comparison chart

• Trust-building social proof

• A conversational nudge

• A micro-survey

• A 3D product view

The AI builds a unique sequence per user. Changes it on the fly. Optimizes using reinforcement learning.

A Real Example (Future Scenario, 2027)

A visitor lands on your site.

AI detects they:

• Pause on pricing

• Hover over feature icons

• Scroll quickly past testimonials

• Click "compare plans"

AI instantly generates their journey:

1. Shows 10-second product demo

2. Displays transparent comparison chart

3. Presents AI-generated FAQ tailored to their confusion

4. Triggers chatbot: "Need help choosing?"

5. Moves them into mini onboarding flow inside the page

6. Suggests best-fit plan

All dynamically. Zero pre-built funnel.

Why This Matters

This isn't just better personalization.

It's the end of static marketing infrastructure.

No more funnel building. Journeys become context-aware experiences that adapt second-by-second.

No more siloed channels. AI sequences steps across DM, app, email, and live chat without human setup.

Higher conversion. Every user gets the journey they need, not the journey you assumed.

Ultra-low waste. No unnecessary emails or pages. Only essentials per user.

The Timeline

2026: First enterprise pilots using AI-driven journey orchestration. Martech platforms release "adaptive experience" modules. B2B SaaS and fintech test micro-journey algorithms.

2027-2028: AI agents handle full onboarding flows. Autonomous "experience engines" replace drip campaigns. UX merges with AI behavioral modeling.

2029-2030: Funnels disappear from many industries. Customer journey maps become AI-controlled graphs. Marketing shifts from "planning journeys" to training AI experience systems.

The Risks

Loss of control and oversight. You're trusting AI to make experience decisions in real time.

Over-personalization creeping into manipulation. There's a fine line.

Black-box difficulty. Hard to explain why AI chose specific sequences.

Platform dependency. You're locked into whatever system builds this.

What This Means for You

If you're building funnels today, keep building them. We're not there yet.

But understand where this is going.

The marketers who win in 2027-2030 won't be the best funnel builders. They'll be the ones who know how to train AI experience systems.

Start thinking about customer journeys as dynamic graphs, not linear paths.

Start collecting behavioral data that AI can actually use.

Start experimenting with real-time personalization, even if it's basic.

Because static funnels have an expiration date.

Did You Know?

Your streaming service's AI deliberately shows you mediocre content occasionally to make their recommendations seem more impressive when they're accurate.

🗞️ Breaking AI News 🗞️

Black Forest Labs Launches Flux.2

The team that created Stable Diffusion just released their new image generation system.

Four models. All designed for production-grade creative work.

Flux.2 Pro is the flagship. Multi-reference conditioning means you can feed it up to 10 reference images. It maintains character, product details, and style across all of them. At 4-megapixel resolution.

Typography got way better too. It can now generate legible fine text, structured layouts, UI elements, and infographic assets. That's been a weak spot for most AI image generators.

The pricing is aggressive. Flux.2 Pro costs $0.03 per megapixel. Standard 1024×1024 generation is $0.030.

Compare that to Nano Banana Pro, which charges $0.134 per 1K-2K image. That's 4x more expensive for similar resolution.

Flux.2 Dev is the open-weight version. 32 billion parameters. You can run it locally or use hosted inference through FAL, Replicate, TogetherAI, Cloudflare, and others.

What's interesting: They released the Flux.2 VAE under Apache 2.0. That's the variational autoencoder that compresses images into latent space and reconstructs them.

Why it matters: Enterprises can use the same latent space as BFL's commercial models in their own pipelines. No vendor lock-in.

Benchmarks show Flux.2 Dev achieving 66.6% win rate in text-to-image generation against other open-weight models. 59.8% in single-reference editing. 63.6% in multi-reference editing.

This puts serious pressure on Midjourney and DALL-E 3.

Black Forest Labs raised $31M from a16z back in 2024. The original Flux.1 got adopted fast—xAI's Grok 2 uses it.

Now they're pushing hard into enterprise workflows. Product visualization. Brand-aligned asset creation. Structured design systems.

The image generation war is heating up. And it's not just about quality anymore. It's about price, controllability, and integration into existing creative pipelines.

Over to You...

What's the first thing you're going to create with Flux.2 now that it's 4x cheaper than Nano Banana Pro?

Product mockups? Ad creatives? Something else?

Hit reply and share.

To building smarter systems,

Jeff J. Hunter 
Founder, AI Persona Method | TheTip.ai

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