AI APP : PRINTER :: MODEL : INK

Here in February 2026, I’m collecting AI model subscriptions faster than my mom collected Longaberger baskets. It’s a great time to be a consumer as models leapfrog each other, but at any given moment, the underlying models are not that different.

It’s clear that “AI compute” is a new utility, and it’s going to be a big one. (It might even crowd out “Internet access” as a distinct thing that people pay for (or pay much for), just as happened to “long distance” phone charges.)

Those AI providers want: (a) to sell as many computes as possible, and (b) to lock in users. Having the best model (for the month!) is not sufficient, as the back-end models are relatively fungible.

The real battleground is in end-user apps: humans are notoriously “sticky”. When we’ve figured out how to use an app, are invested in it, and it meets our needs, the alternative has to be dramatically better to switch. (Try teaching a non-technical user how to use a video conferencing tool other than Zoom.)

AI providers want an app ecosystem that’s cheap/free – anything that drives compute usage. They will offer affiliate revenue share models to app developers that drive underlying AI subscriptions, upgrades, and usage.

The AI providers will cherry-pick top apps from that ecosystem and build free versions, which only work with their models. Give away a printer that only works with your ink, and sell the ink.

This is why the current state of the market is so fascinating:

  • OpenAI thought it was a model arms race, but is realizing that even if their model is 5% better, that’s not sufficient.
  • Anthropic is iterating rapidly on their coding agent and similar apps (e.g. Claude for Excel). They don’t have to have the absolute best model.
  • Cursor is incredibly exposed (selling a printer that still requires expensive ink) until it gets acquired by an AI company or cuts a meaningful affiliate deal. After all, Microsoft literally owns VS Code and GitHub.
  • Google is saying, “Hold my beer, do you remember what Microsoft did with Internet Explorer?”

Who’s going to be the “Netscape” of this tech wave?

AI Developers: Adult Supervision Required

A co-founder I advise asked me about hiring a high school student for a software development internship. They had an impressive portfolio, but it was also clear that most of it was AI-generated. The co-founder asked, “How should I think about this?” My answer was immediate: “I have no idea!!!

After several weeks of some intense “vibe coding” [I do not like this term, but here we are], I have a more nuanced perspective.

To start, I’ve reactivated the ~30-year-old dormant neurons I used to manage developers. A good tech lead always tries to understand each developer’s strengths & weaknesses and adapt accordingly. Junior developers may need regular code and design reviews, where a more senior developer can propose an API/design and then go implement without much guidance.

In that framework, AI coding agents (today) are very strong on knowledge (e.g., instant access to Google) but weak on judgment and experience. They are simply amazing for relatively simple or “tedious” coding tasks: integration, basic UI, test cases, devops, validity checking, configuration, formatting, reports, basic refactoring, etc. Being able to “Program in English” feels like nothing short of magic.

But, the agents struggle when the problem moves into “real” computer science: algorithms, asynchronous designs, threads, race conditions, locking, security, consistency, optimization, scalability, etc. Unguided, the agent will happily write the code (eager to please!), but it’s fragile. Worse, the agent doesn’t know it’s fragile: it happily fixes bug #1 but then introduces new bugs. Fixing those seems to work (for now), but a new bug appears later, or new features trigger cascading new bugs and long debugging and bug-fixing cycles.

This is where experience matters: a seasoned developer will recognize the thrashing, pull back, pinpoint the fragility, and provide specific refactoring guidance to move the agent toward a more robust design & implementation. (I’ll write a follow-up post later on my experience here, with some suggested practices.)

Back to the co-founder’s question: how do we evaluate?

I think the answer (again, today) revolves around: what kind of software is being developed? If it’s relatively simple, tedious, integration-heavy, “forms on a database with reports,” work, junior developers with coding agents can get a lot done. But if it’s more sophisticated than that, you risk having a huge, fragile pile of “AI slop” that looks like it works but breaks when you need it most.

The Prompt “Turnaround”

If you’ve ever been in therapy and started complaining about someone else, the therapist often “turns it around” and asks about you, your role, and your reactions to the matter.

This approach can also be a powerful way to get AI to help you. Instead of belaboring over a huge prompt that “airs the grievances” about whatever problem you’re trying to tackle, simply turn it around and ask the AI:

“Ask me the questions that you need to ask to get the information to best help me [for my problem].”

Or, a little more focused:

“Choose 4 to 6 questions that I can answer that will provide you the best context to help me with [my problem].”

In other words, make the AI do the work to “interview” you, and make it be deliberate about what context it needs to be most helpful.

(I’ve used variants of this idea before, but credit to Nate Jones for sharpening up the technique. As he points out, until recently, models were not sophisticated enough to use this method.)

The Platform is your Product Manager

Recently, Benedict Evans wrote an essay about the limitations of the “Deep Research” feature from OpenAI and other AI platforms. He noted the problems with having “infinite interns” attempting to do quality research, and added:

OpenAI and all the other foundation model labs have no moat or defensibility except access to capital, they don’t have product-market fit outside of coding and marketing, and they don’t really have products either, just text boxes – and APIs for other people to build products.

That’s the brilliance of having a leading platform: other people are investing their own time and capital to figure out blockbuster AI products. As a bonus, they’re paying the platform for the right to explore.

If OpenAI is smart (and every bit of evidence suggests they are very smart), their product leadership constantly reviews emerging use cases and is ‘sort-descending’ third-party products built on their APIs. A vibrant platform ecosystem is a gold mine for companies with nimble product teams and a willingness to (occasionally) compete with customers. If OpenAI can build that feedback loop on their initial platform success, they can build a very defensible platform.

(Footnote: this situation has always been an opportunity for platforms with the associated risk for platform users. Think about all the vintage smartphone apps that no longer exist because they were subsumed into the platform. Or, the Amazon Basics team figuring out which top-selling third-party products to pick off next.)

Apple vs The FBI

You’d have to be deeply off-grid to be missing the policy debate around Apple “unlocking” the San Bernardino shooter’s iPhone.  The issue has all of the trappings of a serious, technology-induced stress-test of the Constitution.

In a recent Pew Research poll, 51% of respondents were in favor of Apple unlocking the phone.  Unfortunately, things are not quite that simple.  I wonder what the poll results would be with a more accurate question:

Do you think the Government should be able to force Apple, against its will, to make a special version of iOS that’s deliberately less secure, so that the FBI can attempt to unlock the shooter’s phone?

The emphasized section captures the what’s new here:  this is not about Apple providing an iCloud backup (as they’ve done in other case) or using some sort of “master key”. This is about being forced, under great duress, to make a new operating system, they call GovtOS.  The FBI’s requested GovtOS would, among other things, (a) allow passcodes to be guessed rapidly and (b) not self-destruct after 10 attempts, and presumably allow a brute force attack against the phone.

Legally, the government is pushing the All Writs Act of 1789 into brand new territory.  Generally, this Act gives courts the power to issue orders to third-parties to assist in the administration of justice (e.g. the telephone company being required to assist in wiretapping your phone).  But the Act hasn’t been used before to force someone to create new technology.

Apple’s legal response is well-written, worth reading, and (I think) makes a solid and compelling argument.  Though the FBI says “just this once”, Apple has properly highlighted a very dangerous precedent:  if the order to develop GovtOS is lawful, what about all other inaccessible phones?  What about additional GovtOS features, like surreptitiously enabling the microphone?

Also, should Apple have to compensate for government missteps?  The government reset the iCloud password without consulting Apple (foreclosing any possibility of initiating a new backup).  Worse, the San Bernardino County Public Health Department (who owns the phone) never enabled Apple’s Mobile Device Manager, which gives employers the ability to clear the passcode lock and disable the Erase Data feature!

Finally, Apple’s First Amendment argument is compelling.  Code is speech and forcing Apple to develop GovtOS is akin to forcing them to say something they don’t want to say.

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On the government’s side, the FBI and Justice Department argue technology can’t be “above the law”.  And that’s exactly where our non-technical policy makers don’t get it: technology IS above the law.  Our laws will always be trumped by the laws of science, math and nature (even though an occasional legislature will attempt otherwise).

Consider this thought experiment:  I’ve been asked by many friends, “If Apple made it, they must be able to unlock it!”   It’s actually fairly easy to build things that can only be opened in very particular circumstances without self-destructing.  Anyone can build a heavy safe with critical information on tissue paper with some highly flammable liquid. For a wrong combination, movement, or any disturbance, it dumps and ignites the liquid, destroying the tissue.  Or, it could have a thumb drive poised over a vial of acid — one wrong move and data is permanently destroyed.

The terrorist attack was an horrific tragedy, but that doesn’t give the government a license to powers beyond those Constitutionally granted.  To quote the late Justice Scalia in a majority opinion:

There is nothing new in the realization that the Constitution sometimes insulates the criminality of a few in order to protect the privacy of us all.

The only way to have man’s laws trump mother nature’s laws is to outlaw technology.  If the order stands, we’ve taken our first big step in that direction.

MIT, Jeffrey Epstein, and Reputation Laundering

If you’ve missed the breaking Jeffrey Epstein-MIT Media Lab-Joi Ito drama, you can catch up quickly: Joi Ito apologies for taking Epstein money, an all-hands lab meeting gets messy, Ronan Farrow reveals more details, and Joi Ito resigns.

Now, Larry Lessig argues..because [Epstein’s gifts were] anonymous, the gift wasn’t used to burnish Epstein’s reputation.” And, therefore, it was OK to take his money.

This is the crux of Lessig’s naïvety.

When a well-respected institution like MIT affiliates with someone, even anonymously, they give that person meaningful “walking around stories”, like “I just funded ___ at MIT” or “When I was at MIT the other day…

Worse, there’s always ongoing quid pro quo: “Let me introduce you to _____” or “I’ll ask my MIT friend for a favors/he owes me” This is especially true when the prospect of future donations is dangled.

Then, the reputation launderer parlays their MIT relationship into something more elsewhere, so the next donee is thinking, “well, if MIT is OK taking his money, then…” As the group grows, fewer and fewer questions get asked. Even the worst reputation can be whitewashed…it just takes money.

MIT got played, that’s clear. If Lessig and MIT couldn’t see it at the time, that’s one thing. But if they still can’t see it, that’s a whole other bag of burritos.

WeWhat?

You have to be living under a rock to miss all of the punditry & chatter about WeWork’s IPO filing. If you haven’t read their S-1, it’s a piece of work: it’s the most audacious tech IPO I’ve ever seen, by far. (And if you make it through before giving up in (a) shock, (b) confusion, or (c) both…good work!)

While the public market will be the ultimate judge, Ben Thompson (Stratechery) analyzed the essence of their business as:

First, my primary point in comparing WeWork to AWS was to emphasize just how valuable it is to convert fixed costs to variable costs; this not only provides benefits to existing businesses, it also capitalizes on and fuels new business creation. However, the comparison should not go much further than that; there plenty of other important differences between AWS and WeWork.

(Emphasis added). But for a scalable & sustainable fixed-to-variable cost arbitrage business, we must consider the entire product-market fit equation. Ironically, Ben’s AWS analogy neatly highlights the missing parts.

First, is the supply of the “fixed” resource defensible, with economies of scale? Unless WeWork can be creative about sharing their “variable” revenue with their “fixed” landlords (as Blockbuster did with DVDs), they’re just another tenant negotiating wholesale office space. They’re not surfing an underlying technology wave, and scale economies are limited: N existing lease agreements aren’t that much leverage for lease N+1.

Second, does the market value “variability”? It’s not always worth a lot; consider the number of past “Rent A ________” startups that struggled & failed. WeWork’s offering is closely linked to a relatively slow-moving variable: employee headcount. Certain types of startups value variability at certain stages and WeWork has done a fine job laying claim to a meaningful fraction of aggregate annual venture investment.

But when headcount becomes stable & predictable, the cost and control advantages of having one’s own space outweigh WeWork’s model. And there are many alternatives; when I visit a Panera mid-day, I sometimes wonder if they are WeWork’s biggest real competitor!

My bet: WeWork, assuming they make it public, becomes yet another roughly zero-sum stock market poker table for the hedge funds. Their super-complex org structure and internal business “model” certainly provide a lot of nooks and crannies for traders to attempt out-bluffing each other. For the company itself, they’ll eventually scramble (a la Groupon) to pivot into something sustainable.

King Zuckerberg

I’ve long argued that Mark Zuckerberg is the most powerful unelected person in the world, by far. The race isn’t even close and hasn’t been for a long time.

So, I was not surprised when Chris Hughes wrote, in his widely reported NYT Opinion piece:

Mark’s influence is staggering, far beyond that of anyone else in the private sector or in government. He controls three core communications platforms — Facebook, Instagram and WhatsApp — that billions of people use every day. Facebook’s board works more like an advisory committee than an overseer, because Mark controls around 60 percent of voting shares. Mark alone can decide how to configure Facebook’s algorithms to determine what people see in their News Feeds, what privacy settings they can use and even which messages get delivered. He sets the rules for how to distinguish violent and incendiary speech from the merely offensive, and he can choose to shut down a competitor by acquiring, blocking or copying it.

But I was not aware of this story:

The most extreme example of Facebook manipulating speech happened in Myanmar in late 2017. Mark said in a Vox interview that he personally made the decision to delete the private messages of Facebook users who were encouraging genocide there.

While we’re all happy that someone took action here, it raises a profound question: who should decide what we may or may not communicate (publicly or privately) with our fellow humans? If we keep our current trajectory, the answer will be “a very small number of private individuals, accountable only to themselves”.

Introduction to Digital Marketing: Key Concepts and Strategies

Digital marketing has transformed the way businesses connect with consumers, enabling them to reach target audiences more effectively than ever before. As technology continues to evolve, digital marketing strategies have become increasingly sophisticated, incorporating data analytics, personalized content, and real-time engagement to create meaningful interactions. This guide introduces the fundamental concepts and strategies behind digital marketing, providing a foundation for understanding how businesses can thrive in today’s digital landscape and how is best to use services from TheMarketingHeaven.com.
What is Digital Marketing?

Digital marketing is the use of digital channels to promote products, services, and brands to consumers. Unlike traditional marketing methods like print, TV, or radio, digital marketing leverages online platforms to reach customers more precisely. This includes everything from search engines and websites to social media, email, and mobile applications. The main goals of digital marketing are to increase brand awareness, drive traffic, and ultimately convert leads into loyal customers.
Key Concepts in Digital Marketing

Audience Segmentation

Audience segmentation divides potential customers into specific groups based on demographics, behavior, interests, and other factors. By identifying distinct audience segments, businesses can tailor their marketing strategies to meet the unique needs of each group, resulting in more targeted and effective messaging.

Customer Journey

The customer journey represents the series of interactions a customer has with a brand, from awareness to consideration, decision, and loyalty. Understanding this journey is essential for crafting personalized marketing strategies that engage customers at each stage, guiding them toward a positive purchasing decision.

Search Engine Optimization (SEO)

SEO focuses on improving a website’s visibility in search engine results pages (SERPs). It involves optimizing content, keywords, meta descriptions, and backlinks to increase organic traffic. Higher rankings on search engines like Google mean greater exposure and more potential customers.

Content Marketing

Content marketing involves creating valuable, relevant, and consistent content to attract and engage a target audience. This can include blog posts, videos, infographics, and social media content. By addressing audience needs and providing useful information, content marketing builds brand authority and fosters long-term relationships.

Social Media Marketing

Social media platforms like Facebook, Instagram, LinkedIn, and Twitter allow businesses to connect with audiences, build brand presence, and increase engagement. Social media marketing involves creating and sharing content, responding to user interactions, and sometimes running paid ad campaigns to extend reach.

Email Marketing

Email marketing remains one of the most effective digital marketing channels. By sending targeted messages to subscribers, businesses can nurture leads, promote new products, and build customer loyalty. Automation tools enable personalized email campaigns, making it easier to stay connected with audiences over time.

Pay-Per-Click (PPC) Advertising

PPC is a form of paid advertising where businesses pay each time a user clicks on their ad. Common platforms for PPC ads include Google Ads and social media sites like Facebook and Instagram. PPC campaigns offer immediate visibility and can be highly targeted, making them effective for reaching specific audience segments.

Data Analytics

Data analytics plays a crucial role in digital marketing by tracking campaign performance, user behavior, and conversion metrics. With tools like Google Analytics and social media insights, marketers can gather valuable data to make informed decisions and optimize campaigns for better results.

Essential Digital Marketing Strategies

Define Your Goals and KPIs

Start by setting clear, measurable goals. Are you aiming to increase brand awareness, generate leads, or boost sales? Define key performance indicators (KPIs) that will allow you to track progress and measure success. Common KPIs include website traffic, click-through rates, conversion rates, and return on investment (ROI).

Create a Buyer Persona

A buyer persona is a detailed representation of your ideal customer. It includes information about demographics, behavior, pain points, and goals. Creating personas helps you understand your audience and shape your content, messaging, and overall approach to meet their needs effectively.

Optimize for Search Engines

SEO is fundamental to a successful digital marketing strategy. Start by researching keywords that your target audience uses to search for products or services in your industry. Incorporate these keywords naturally into your website content, blog posts, and meta tags to increase organic visibility.

Leverage Content Marketing

Content marketing is the backbone of digital marketing because it drives SEO, social media engagement, and email marketing. Develop a content calendar to plan posts that are informative, entertaining, and valuable to your audience. Focus on solving customer problems, sharing insights, and providing resources that position your brand as an authority.

Engage on Social Media

Social media is essential for building brand awareness and engaging with customers in real-time. Create a consistent posting schedule and use a mix of images, videos, and interactive content to encourage user engagement. Engaging with followers through comments and direct messages also helps build a sense of community around your brand.

Implement Email Marketing Campaigns

Use email marketing to stay connected with customers and nurture leads. Segment your email list based on customer behavior or preferences, and personalize messages to increase engagement. Email is particularly effective for promotions, abandoned cart reminders, and post-purchase follow-ups that enhance the customer experience.

Run Targeted PPC Campaigns

PPC ads allow you to reach your target audience quickly and measure results precisely. Define your target demographics, choose relevant keywords, and design ads that are eye-catching and clear. Regularly monitor and adjust your PPC campaigns to maximize ROI and ensure you’re reaching the right audience.

Use Retargeting Ads

Retargeting allows you to reach users who have already interacted with your website but didn’t convert. These ads remind users of your brand, products, or services, encouraging them to return to complete their purchase. Retargeting is especially useful for increasing conversions and capturing leads who may be on the fence.

Monitor and Adjust Using Data Analytics

Consistently track campaign performance and user behavior using analytics tools. Analyzing data helps you understand what’s working and where you need to improve. Metrics like bounce rate, conversion rate, and engagement provide insights that allow you to refine your strategies for better results.

The Importance of Adaptability in Digital Marketing

Digital marketing is a dynamic field, with new tools and trends emerging constantly. To stay competitive, businesses need to remain flexible and willing to adapt. For instance, video content and influencer partnerships have recently become prominent strategies. Similarly, updates in SEO algorithms or changes in social media platforms can impact how marketing efforts perform.

Experimenting with new approaches, staying informed about industry trends, and regularly evaluating your strategies allow you to adjust to changes and maintain a strong digital presence. By continually learning and evolving, businesses can stay relevant and capitalize on new opportunities to engage customers.
Conclusion

Digital marketing offers businesses a powerful way to connect with customers, promote products, and drive growth. By understanding the key concepts—like SEO, content marketing, and data analytics—and implementing effective strategies, businesses can create impactful digital campaigns that reach the right audiences. As digital marketing continues to evolve, the ability to adapt, innovate, and prioritize customer engagement will be crucial for ongoing success in the digital age. Whether you’re a startup or an established company, mastering digital marketing can unlock new growth opportunities and ensure a competitive edge in an ever-expanding online marketplace.

How Online Casinos Can Make You Good Money: A Guide to Success

As a seasoned financial journalist, I’ve had the privilege of covering the gambling industry for over 15 years. During this time, I’ve witnessed the rise of online casinos and the potential for players to make significant profits. However, it’s essential to approach online gambling with a clear understanding of the risks and benefits. In this article, I’ll share my expertise on how reputable online casinos can generate good money for players who adopt effective strategies and practice responsible gaming.

Benefits of Online Casinos

Online casinos offer numerous benefits that can increase your chances of winning. Here are a few:

Convenience: Online casinos like slot online 77 allow you to play from the comfort of your own home, 24/7. This convenience factor can be a significant advantage, especially for those who have busy schedules or live in areas with limited gaming options.
Variety: Online casinos offer a vast array of games, including slots, table games, and live dealer options. This variety can help you find games that suit your style and increase your chances of winning.
Bonuses and Promotions: Online casinos often offer attractive bonuses and promotions to attract new players and retain existing ones. These incentives can provide a significant boost to your bankroll and increase your chances of winning.
Higher Payouts: Online casinos can offer higher payouts compared to traditional brick-and-mortar casinos. This is due to lower overhead costs and the ability to operate with a larger player base.

Risks of Online Casinos

While online casinos can be lucrative, it’s essential to acknowledge the risks involved:

Addiction: Online gambling can be addictive, and it’s crucial to set limits and practice responsible gaming to avoid financial and emotional harm.
Unreliable Operators: Unfortunately, not all online casinos are reputable. Be cautious of operators with poor reviews, unclear terms, and slow payouts.
Technical Issues: Online casinos can experience technical issues, such as connectivity problems or software glitches, which can result in lost winnings or delayed payouts.
Lack of Regulation: Some online casinos operate outside of regulated jurisdictions, which can increase the risk of fraud and unfair practices.

Effective Strategies for Success

To maximize your chances of winning at online casinos, follow these effective strategies:

Choose Reputable Operators: Research and select online casinos with a good reputation, clear terms, and reliable payouts.
Set a Budget: Establish a budget and stick to it to avoid overspending and financial harm.
Understand the Games: Familiarize yourself with the rules and odds of each game to make informed decisions.
Manage Your Bankroll: Divide your bankroll into smaller chunks and allocate them to different games or sessions to minimize losses.
Take Advantage of Bonuses: Claim bonuses and promotions wisely, and understand the terms and conditions to avoid any surprises.
Stay Informed: Stay up-to-date with the latest news, trends, and strategies to improve your chances of winning.

Conclusion

Online casinos can be a lucrative way to make good money, but it’s essential to approach them with a clear understanding of the risks and benefits. By choosing reputable operators, adopting effective strategies, and practicing responsible gaming, you can increase your chances of winning and enjoy a positive online gaming experience. Remember to stay informed, set limits, and prioritize your financial and emotional well-being.

In the next article, I’ll delve deeper into the world of online casinos, exploring the latest trends, strategies, and innovations in the industry. Stay tuned for more insights and expert advice on how to succeed in the world of online gambling.