Is your coding team costing you thousands monthly?

Hi ,

Cursor just dropped Composer 2.

Frontier-level coding model. $0.50/M input tokens. $2.50/M output tokens.

61.3% on CursorBench. 61.7% on Terminal-Bench 2.0. 73.7% on SWE-bench Multilingual.

Massive improvements over Composer 1.5. Trained on long-horizon coding tasks through reinforcement learning.

Can solve challenging tasks requiring hundreds of actions.

Available now in Cursor.

Today's prompt is about memetic marketing that makes ideas spread like viruses. While Tool Tuesday covers Substack's new recording studio that handles video end-to-end. Then Cursor's Composer 2 breakthrough in frontier coding intelligence.

🔥 Prompt of the Day 🔥

Memetic Marketing Propagation Engine: Use ChatGPT or Claude

Create one idea-virus distribution system.

The Prompt:

"Act as a memetic marketing specialist.

Create one framework for engineering [BRAND MESSAGE] to spread like a contagious idea across digital networks.

Essential Details:

• Core Message: [WHAT TO SPREAD]

• Target Memetic Fitness: [STICKINESS FACTORS]

• Network Architecture: [HOW IT SPREADS]

• Mutation Tolerance: [MESSAGE FLEXIBILITY]

• Transmission Barriers: [SPREAD OBSTACLES]

• Competitive Memes: [COMPETING IDEAS]

Create one memetic system including:

1. Meme fitness optimization checklist (10 factors)

2. Transmission pathway architecture

3. Mutation-resistant core preservation

4. Host incentivization structure

5. Memetic lifecycle management

6. Competitive meme counterstrategy

Make your ideas irresistibly contagious."

Variables:

• BRAND MESSAGE: What you want to spread

• CORE MESSAGE: Exact idea to propagate

• STICKINESS FACTORS: What makes it memorable

• NETWORK ARCHITECTURE: How it spreads person-to-person

• MUTATION TOLERANCE: How much message can change

• COMPETITIVE MEMES: What ideas compete for attention

Why This Works:

Ideas spread like viruses. Memetic engineering designs messages for maximum transmission. AI analyzes stickiness factors. Maps network pathways. Preserves core while allowing mutation. Makes ideas self-replicating.

🤖Tool Tuesday🤖

Substack Launches Built-In Recording Studio

Substack just launched Substack Recording Studio.

Built-in mechanism for creators to pre-record and publish videos.

Desktop only. Supports solo videos plus conversations with up to two guests.

What It Does

Creators can add custom watermarks to videos. Share screen with co-hosts.

Once recording is over, Substack auto-generates clips and thumbnails for sharing.

Substack: "Until now, creating video on Substack meant going live, or stitching together a separate stack of tools: a recording platform, a way to create and distribute clips, and something to design a thumbnail. Substack Studio brings all of those tools into one place."

Why This Matters

Creators who used audio or video on Substack in past 90 days grew revenue 50% faster than creators who haven't.

Read that again.

50%. Faster. Revenue. Growth.

Substack's Video Push

Though Substack predominantly known as newsletter platform, company showing keen interest in video over last few years.

Prioritizing updates that position it more like Patreon competitor. Encouraging creators to explore multimedia.

Allowed creators to upload videos since 2022.

Began letting creators livestream and monetize videos last year.

Launched Creator Accelerator Fund of $20 million to help transition creators from other platforms to Substack.

Recently launched TV app available on Apple TV and Google TV.

App allows viewers to watch video posts and livestreams on TV. Includes TikTok-like "For You" row that provides further recommendations.

The TV Trend

Despite popularity of watching short-form videos on phone, people turning to TV screens to watch longer-form content.

Netflix making significant investments in bringing video podcasts to TV.

On YouTube, viewers watched over 700 million hours of podcasts each month on living room devices in 2025. Up from 400 million per month year prior.

Why This Changes Creator Workflow

Previously: Record elsewhere. Upload to Substack. Create clips manually. Design thumbnails separately.

Now: Record in Substack. Auto-generate clips. Auto-generate thumbnails. Publish.

One tool. Entire workflow.

For creators: Lower friction to create video content. Everything in one place.

For Substack: Keep creators in platform. Don't lose them to YouTube or other video platforms.

For newsletter readers: More multimedia content from writers they follow.

What This Means

If you're Substack creator: Video workflow now streamlined. Test video if you haven't.

If you're newsletter platform: Substack competing on multimedia, not just text. Match it or lose creators.

If you create content: Trend clear. Text-only not enough. Multimedia wins.

Substack betting video grows revenue faster. Data backs it up. 50% faster growth.

Did You Know?

A new generation of AI-powered science startups has emerged, with companies like Lila Sciences and Latent Labs using specialized AI to autonomously generate hypotheses, design experiments, and accelerate drug development timelines — signaling a shift toward what some call "scientific superintelligence."

🗞️ Breaking AI News 🗞️

Cursor Launches Composer 2 - Frontier-Level Coding Intelligence

Cursor announced Composer 2.

Frontier-level coding model. Available now in Cursor.

Priced at $0.50/M input tokens. $2.50/M output tokens.

New optimal combination of intelligence and cost.

The Benchmark Results

Composer 2 delivers large improvements on all benchmarks Cursor measures.

CursorBench: 61.3% (vs 44.2% for Composer 1.5)

Terminal-Bench 2.0: 61.7% (vs 47.9% for Composer 1.5)

SWE-bench Multilingual: 73.7% (vs 65.9% for Composer 1.5)

Massive jumps across every metric.

What Changed

Quality improvements come from Cursor's first continued pretraining run.

Provides far stronger base to scale reinforcement learning.

From this base, Cursor trains on long-horizon coding tasks through reinforcement learning.

Composer 2 able to solve challenging tasks requiring hundreds of actions.

Not just code completion. Full task execution.

Pricing Options

Standard Composer 2: $0.50/M input, $2.50/M output tokens.

Faster variant with same intelligence: $1.50/M input, $7.50/M output tokens.

Lower cost than other fast models.

Cursor making fast the default option.

Usage Model

On individual plans, Composer usage part of standalone usage pool with generous usage included.

Available in Cursor. Also in early alpha of Cursor's new interface.

Why This Matters

Cursor competing directly with Claude Code, GitHub Copilot, and other AI coding assistants.

Frontier-level intelligence at fraction of cost competitors charge.

For developers: More capable coding agent at lower price.

For Cursor: Differentiates on both intelligence and economics. Not one or the other.

For AI coding market: Bar just moved. Competitors need to match quality at this price point.

Long-Horizon Tasks

"Long-horizon coding tasks" means tasks requiring hundreds of actions.

Not single function. Entire features. Multiple files. Complex refactoring.

Reinforcement learning trains model to execute these multi-step workflows.

That's what separates coding completion from coding agents.

What This Means

If you code: Cursor's Composer 2 now handles more complex tasks at lower cost than alternatives.

If you're building AI coding tools: Cursor just set new quality-price benchmark. Match it or explain why not.

If you're enterprise: Frontier coding intelligence now accessible at costs that scale.

Coding agents becoming economically viable for production use. Not just experiments.

Over to You...

Cursor's Composer 2 hitting 73.7% on SWE-bench Multilingual at $0.50/M input tokens - does that change your AI coding tool budget?

Send me what you'd build with it.

To affordable intelligence,

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

P.S. Want to turn AI Agents into a consulting offer? Book your AI Certified Consultant strategy 👉 here.

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