^{AI MARKETPULSE}
GitHub's New Copilot Pricing Is Making AI Costs Impossible to Ignore

GitHub's shift from flat-rate Copilot subscriptions to usage-based billing is giving developers a real-time lesson in the economics of AI. Starting in June, users began paying based on token consumption rather than a simple pool of requests, exposing how dramatically costs can vary depending on the model being used and the amount of context included in a conversation. Developers are already reporting that complex coding tasks, long-running chat threads, and premium models can consume hundreds or even thousands of credits in a single day. While some users are adapting by becoming more deliberate with prompts and model selection, others are exploring lower-cost alternatives.

Key Takeaways:

• GitHub Copilot now charges based on token usage, making AI costs visible to developers for the first time

• Large context windows, premium models, and complex coding tasks can consume credits far faster than many users expected

• The move could signal a broader industry shift away from unlimited AI subscriptions and toward metered usage pricing

👉️ Read the full article here

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^{AI SPOTLIGHT}
Anthropic Wants the Ability to Hit the Brakes on AI Development

Anthropic is once again raising concerns about the pace of AI progress, arguing that frontier models could soon advance faster than society's ability to safely manage them. In a new policy proposal, the company suggested the world should have the option to temporarily slow or pause the development of the most advanced AI systems if capabilities begin to outpace oversight, verification, and alignment efforts. Anthropic argues that any meaningful pause would require cooperation among leading AI labs and governments, along with mechanisms to verify compliance. Critics, however, see a familiar pattern: warning about potential risks while simultaneously positioning the company's own safety frameworks and governance proposals as part of the solution.

Key Takeaways:

• Anthropic says society may eventually need the ability to temporarily slow or pause frontier AI development

• The company argues that effective oversight would require coordination and verification across multiple AI labs and countries

• The proposal highlights a growing divide between those focused on accelerating AI progress and those concerned about managing long-term risks

👉️ Read the full article here

You’re gonna want to see this live

On July 16th at 1PM EST, beehiiv is unveiling the next chapter for audience-led businesses.

For years, creators and brands have been forced to stitch together bloated stacks of tools just to publish content, grow an audience, and make money online.

Newsletters in one platform. Websites in another. Podcasts somewhere else. Analytics scattered everywhere.

beehiiv thinks there’s a better way. Now, they’re ready to show it off at their Summer Release Event.

Reserve your spot.

^{TODAY’S PROMPT}
Launch a Digital Product Without an Audience

This mega-prompt acts like a lean product launch strategist, helping you generate your first sales without relying on followers, an email list, or a personal brand. It builds a step-by-step distribution plan that uses partnerships, communities, marketplaces, referrals, and other leverage points to get your product in front of buyers fast.

👉️ See the example inputs and outputs here

Act as a world-class digital product launch strategist,
growth marketer, and distribution expert.

Your job is to create a complete launch plan that
helps me generate my first sales without relying
on an existing audience, email list, large social
following, or personal brand.

Product: [Describe your product]

Target Customer: [Target customer]
Problem Solved: [Problem]
Desired Outcome: [Outcome]
Price: [Price]
Industry/Niche: [Niche]
Current Audience Size: [Audience size]
Email List Size: [List size]
Social Following: [Followers]
Personal Brand Strength: [Strong, Weak, None]
Budget: [Budget]
Hours Available Per Week: [Hours]
Launch Timeline: [Timeline]
Goal: [Revenue or customer goal]

Create the following:

1. What You Know

• List the facts directly provided
• Identify the strongest signals
• Highlight key constraints
• Summarize available resources

2. What You Are Assuming

• List every assumption being made
• Identify market assumptions
• Identify customer assumptions
• Identify distribution assumptions
• Explain how each assumption impacts
the strategy

3. What Could Be Wrong

• Biggest risks
• Weakest assumptions
• Potential launch obstacles
• Competitive threats
• Reasons the product may fail
• Blind spots that should be considered

4. Questions That Would Improve The Plan

Provide the most important unanswered
questions that would improve the strategy.

5. Distribution Opportunity Analysis

Evaluate the strongest acquisition channels.

For each channel provide:

• Why it fits
• Speed to results
• Difficulty level
• Cost
• Scalability
• Risks

Rank the channels from strongest to weakest.

6. Recommended Launch Strategy

Provide the single best launch strategy and
explain why it was selected over the alternatives.

7. First 10 Customers Plan

Create a step-by-step plan to acquire the first
10 paying customers.

Include:

• Daily actions
• Outreach targets
• Messaging approach
• Expected conversion path

8. 30-Day Launch Plan

Create a week-by-week launch roadmap.

Include:

• Priorities
• Tasks
• Milestones
• Success metrics

9. Leverage Opportunities

Identify:

• Partnerships
• Communities
• Marketplaces
• Directories
• Affiliates
• Newsletter sponsorships
• Influencers
• Referral opportunities

Focus on opportunities that can drive results
without requiring an audience.

10. Fastest Path To First Sale

Provide the simplest and fastest path to
generating revenue.

Include:

• Immediate actions
• Validation strategy
• Low-cost tactics
• Quick-win opportunities

11. Launch Assets

Create:

• Core offer statement
• One-sentence pitch
• Landing page headline
• Landing page subheadline
• Call-to-action
• Short outreach message

12. Optimization Plan

Provide:

• 5 ways to improve conversions
• 5 ways to increase distribution
• Key metrics to track
• Biggest mistakes to avoid

Write everything in a practical,
step-by-step format.

Be explicit, not vague.

Separate facts from assumptions clearly.

Do not pretend certainty where uncertainty
exists.

Prioritize speed, simplicity, and realistic
execution.

Focus on strategies that can produce results
within 30 days.

Assume I am starting with little or no audience
unless otherwise stated.

If information is missing, make the most
reasonable assumption and state it clearly
before proceeding.

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^{AI QUICK HITS}

🏜️ Kevin O'Leary's massive Utah AI data center project is being cut roughly in half after environmental backlash and political pressure, underscoring the growing resistance large AI infrastructure projects are facing across North America.

💰 Teradata told its 5,100 employees not to expect salary increases in 2026 because the company is redirecting those funds into AI investments, offering one of the clearest examples yet of firms prioritizing AI spending over workforce compensation.

🌆 Residents in a California city voted overwhelmingly to permanently ban data centers, marking what appears to be the first voter-approved prohibition of AI infrastructure in the U.S. as community pushback against the AI buildout continues to grow.

🚀 Anthropic says it's moving toward an IPO after annualized revenue reportedly surged from roughly $9 billion to $47 billion in just five months, signaling that investor demand for leading AI companies remains red hot despite growing questions about AI ROI.

🌾 Manitoba's premier rejected a proposed hyperscale AI data center south of Winnipeg, arguing the environmental costs and uncertain long-term economic benefits outweigh the promise of AI-driven growth.

^{AI TOOL STACK}

🔧 Alli AI: Optimize, Automate, Deploy and Scale SEO.

🔧 GetResponse: Send emails, automate marketing, monetize content

🔧 MeetGeek: Your Personalized AI Meeting Automation platform.

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🔧 Soona: Creative at scale for brands with standards.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—55% were wrong!

Did you vote in the poll from June 3rd? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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