Thinks 1901

David Friedman: “Within the firm coordination is by central control, executives figuring out what workers should do and workers doing it as instructed. If that form of coordination was always and inevitably inferior to coordination by market transactions the result would be an agoric economy, each individual buying inputs and selling outputs, coordinating their activities by market transactions. Why does that not happen? How is it possible for a firm coordinated from above by its owner-manager to compete with the market alternative? Coase’s answer was that while centralized coordination indeed has costs, so does market coordination.” [via Arnold Kling]

TheMaxSource: “Forty-two percent of startups fail because nobody wants what they built. This number comes from CB Insights analysis of 110+ failed companies. They didn’t run out of money first. They didn’t lose to competitors. They built something and discovered the market didn’t care. The median time to learn this lesson: eighteen months and six figures in wasted capital…Fast-moving companies test three things in sequence: problem intensity, solution appeal, willingness to pay. Each layer requires harder evidence than the last.”

Economist: ” A recent study by Ivan Yotzov of the Bank of England and co-authors found that executives spend only about 1.5 hours a week using AI. Nine out of ten senior managers see no measurable improvement in labour productivity. The organisational rewiring, in other words, has barely begun. Something big may indeed be happening with AI itself. For now, it remains largely invisible in the macroeconomic data.”

ET on the National Monetisation Pipeline (NMP 2.0) : “At the heart of the NMP framework is a distinction that policymakers have repeatedly stressed that asset monetisation is not outright privatisation. The government retains ownership of the underlying assets. What is transferred is the right to operate, maintain and earn revenue from brownfield infrastructure for a fixed concession period, typically under transparent bidding frameworks such as toll-operate-transfer models, infrastructure investment trusts, long-term leases or public-private partnerships. The economic logic of NMP 2.0 is straightforward. India has invested heavily in creating physical infrastructure such as highways, transmission lines, ports, airports, pipelines and railway freight corridors. These are capital-intensive assets with long gestation periods. Once operational and revenue-generating, they can be leased to private operators who are often better placed to extract efficiency gains and bear operational risks. The upfront proceeds realised by the government can then be recycled into new greenfield projects, creating a virtuous investment cycle. In effect, the state converts illiquid public assets into liquid financial resources, without relinquishing ultimate ownership. This recycling of capital is the core principle of NMP 2.0.”

NeoMails: The Attention and Monetisation Surface Brands Already Own (Part 8)

ActionAds — Monetisation That Earns Its Place

The most common objection to NeoMails, when the concept is pitched to CMOs, is about the ActionAd. Will the brand allow third-party content inside its email? Will it feel like a betrayal of trust — the brand commoditising the relationship it spent years building?

The objection is legitimate. And the answer is not ‘trust us’. The answer is architecture.

One ActionAd per NeoMail, maximum. This is the foundational constraint. It is not a preference or a guideline; it is a hard limit built into the platform. Everything else in the ActionAd model is built on top of this constraint, because without it, NeoMails become an ad vehicle — and an ad vehicle will not earn the daily open that makes the whole system work.

Traditional email advertising fails for predictable reasons. Newsletter sponsorships ask the reader to shift context from the publication’s voice to a partner’s voice. Banner ads inside emails signal ‘this is transactional, not relational’. List swaps expose customer data to third parties without meaningful consent. All of these formats extract attention rather than earn it, and all of them degrade the quality of the inbox experience over time.

ActionAds are designed around a single organising principle: monetisation must be action-first, not click-first. The goal is not to take the customer somewhere else. The goal is to enable something useful, right here, in one step.

The formats that work best in this model are those that feel less like advertisements and more like featured utilities. One tap to save your details for a service you might use. One tap to book a discovery call. One tap to get a personalised quote. One tap to register for an event. One tap to subscribe. The ActionAd is not asking for your attention in exchange for nothing. It is offering a shortcut to something you might genuinely want to do — and making it frictionless.

The reason this matters economically is that ActionAd effectiveness is measured in actions completed, not impressions delivered. This is a meaningfully better metric for partners, because it is a direct measure of intent rather than an estimate of attention. An email database with a high-engagement NeoMails programme — where customers are opening daily, interacting with Magnets, and actively present in their inbox — is a meaningfully more valuable surface than a high-volume, low-engagement blast programme. The partner is not buying reach. They are buying access to real, demonstrated attention.

The Constraints That Make It Work

Beyond the one-ActionAd-per-email cap, the remaining constraints are equally non-negotiable. Category exclusions prevent competitors from appearing. Every partner category is whitelisted by the brand before any ad runs. An automatic pause triggers if complaint rates exceed a threshold.

Each constraint addresses a specific failure mode. The cap prevents the email from feeling like an ad vehicle. The category exclusions protect competitive positioning. The whitelist process keeps the brand in control of its associations. The complaint-rate trigger ensures the system is responsive to customer signals.

The result is a monetisation layer that earns its place — not by forcing itself onto the customer, but by offering something genuinely useful at a moment when the customer is already present and already engaged.

Thinks 1900

Andy Hall: “We are getting much better at predicting the future. AI forecasting systems are climbing leaderboards that were once the exclusive domain of elite human “superforecasters”—and they may soon surpass us at divining the trajectory of our messy, contingent world. Developments in AI dangle the tantalizing prospect that, some day, we might actually be able to see what’s coming next with increasing precision. Prediction markets are the coordinating layer; they attract information by offering monetary rewards to those with useful information about the future. They promise to be platforms where millions of people—and increasingly, AI agents—put real money behind their beliefs about what’s going to happen, generating live probability estimates on everything from Federal Reserve decisions to legislative outcomes. The vision is powerful. Kalshi CEO Tarek Mansour calls his platform a “truth machine,” arguing that “people don’t lie with their money” and that prediction markets are “replacing debate and subjectivity with markets and accuracy.””

Andy Kessler: “Everyone wants to be a rebel. So here’s a modern paradox: Many who rebel against the status quo don’t realize it when they become the status quo. Non-nonconformists! So out they’re in.”

WSJ: “Right now, workers are potentially training AI how to make them obsolete. And they often don’t realize it. The kind of AI used by companies, called an enterprise AI system, can capture everything you do at work and use that information to train itself. These systems can record your interactions within the platform—the prompts you write, the documents you create, the queries you run. In other words, the company can potentially track—and claim ownership of—every keystroke you make within the system, every idea you document there, every tool you build using that platform. It can identify what approaches worked best, what email language got responses and how you approached those clients. And all that knowledge can become part of the company AI, so it may eventually know, down to increasingly fine details, how you do your job.”

Mint: “AI is already delivering value across sectors—improving productivity, democratizing access and aiding livelihoods. In healthcare, AI-assisted diagnostics improve early detection and clinical decision-making. In agriculture, precision advisories and crop intelligence tools help farmers increase incomes and manage risk. In education, adaptive systems personalize learning at scale. Even ‘small AI’—narrowly designed, task-specific systems—is demonstrating measurable impact, reducing delays, errors and manual workload in daily operations. These are important gains. But India’s long-term economic shift cannot be determined solely by digital-native businesses. It will eventually be shaped by whether AI can modernize legacy industries like textiles, food processing, leather, auto components, light engineering and chemicals—sectors where depth of capacity exists, but production processes are often uneven, partly digitized or manually monitored.”

NeoMails: The Attention and Monetisation Surface Brands Already Own (Part 7)

Mu — The Currency of Attention

Every habit product that has ever worked at scale has had the same structural feature: a visible, growing record of progress. Duolingo shows you a streak. Fitness apps show you a run history. Chess apps show you a rating. The record matters not because of what it unlocks, but because of what it represents: evidence that you have been showing up.

Mu is NeoMails’ version of that record. It is the attention currency — earned through opens, Magnet interactions, streak maintenance, and meaningful actions inside the email. It accumulates in a Ledger visible in every NeoMail’s footer, updating with every send, creating a persistent history of engagement that grows more meaningful with time.

Mu doesn’t buy attention; it records it — and makes continuity visible. That visibility is what changes behaviour.

The distinction from loyalty points is important enough to state plainly. Loyalty points are spend-linked and redemption-driven: the customer earns them by giving the brand money, and redeems them for a reduction in future spending. The entire incentive structure orbits the transaction. Mu is attention-linked and continuity-driven: you earn it by engaging — by opening, by participating in the Magnet, by maintaining a streak — regardless of whether you have bought anything. It is a measure of the relationship itself, not of the commercial outcome of the relationship.

The psychological mechanism Mu exploits is not sophisticated: it is the basic human preference for progress over stasis. We are wired to find accumulated progress meaningful, even when the individual steps are small. A Mu balance of 3,761 with a 14-day streak feels like something. It represents a history of engagement, a pattern of attention, a record of showing up. Losing that — by missing days, by disengaging, by unsubscribing — feels like a cost. This is precisely the friction that reduces attention churn.

Mu also serves a function that is easy to miss: it gives the customer a vocabulary for their relationship with the email. Most people cannot describe what they feel about a brand’s communications beyond ‘I open it sometimes’ or ‘I ignore it’. Mu gives them something concrete. A Mu balance is a number. Numbers are tangible. Tangible things are easier to value, and therefore easier to maintain.

Mu Use: Burn, Not Just Earn

The earn side of Mu is straightforward. The burn side — what customers can do with accumulated Mu — is where the design gets interesting and where the ‘bribing attention’ critique is answered. Mu should not be redeemable primarily for discounts. That converts it into loyalty points, which is exactly what it is not trying to be. Mu is better spent on experiences that enhance the NeoMails product itself: unlocking a premium Magnet format, getting early access to a WePredict question before the community does, seeing the outcome of last week’s predictions before they are revealed in email. The redemption experience should feel like an upgrade to the relationship, not a coupon at the checkout.

The initial activation matters too. Gifting Mu on registration — enough to make the Ledger feel non-trivial from day one — is a small design decision with outsized psychological impact. A Ledger that starts at zero has nothing to lose. A Ledger that starts with a meaningful balance has something to protect. That sunk cost, however small, creates the first layer of retention.

Thinks 1899

Chris Roth: “If software moats are eroding, what still holds? Compute — physical infrastructure that’s hard to replicate. Human relationships — partnerships, contracts, brand recognition. Capital — cash in the bank to weather competition. Proprietary data — data that can’t be scraped or synthesized. Team — rare talent that competitors can’t easily poach. Exclusive rights — patents, trademarks, copyrights, regulatory licenses. Network effects — value that scales with users.”

NYTimes: “Companies are realizing they can no longer simply promote themselves to potential customers. They have to win over the robots, too…“There is a new influencer you need to reach, and it’s this A.I. model,” said Brian Stempeck, a co-founder of Evertune.”

Nicolas Bustamante: “The real threat isn’t the LLM itself. It’s a pincer movement that vertical software incumbents didn’t see coming. From below, hundreds of AI-native startups are entering every vertical. When building a credible financial data product required 200 engineers and $50M in data licensing, markets naturally consolidated to 3-4 players. When it requires 10 engineers and frontier model APIs, the market fragments violently. Competition goes from 3 to 300.”

SaaStr: “You Must Be AI Infrastructure — Not “AI-Enhanced SaaS”. The market is ruthlessly punishing companies that “added AI” to existing products. Salesforce (Agentforce), HubSpot (Breeze), Adobe (Firefly), Monday.com (AI blocks) — all down 30-50%+ even though these are real products with real adoption. The market doesn’t care. The winners — Palantir, Cloudflare, Snowflake — are AI infrastructure. They don’t add AI to a workflow tool. They are the infrastructure layer that AI runs on. Palantir is the operational AI decision layer. Snowflake is where the data that feeds AI lives. Cloudflare is the edge where AI inference executes. As SaaStr has been saying: Don’t build SaaS and add AI. Build AI and add SaaS economics.”

NeoMails: The Attention and Monetisation Surface Brands Already Own (Part 6)

The Magnet — Engineering the Reason to Open

If there is a single point of failure in NeoMails, it is the Magnet. Get it right, and everything else follows: the open, the habit, the engagement, the monetisation. Get it wrong — make it dull, repetitive, effortful, or irrelevant — and the entire architecture collapses, because the customer has no reason to open tomorrow.

This is worth sitting with. The Magnet does not represent the brand. It does not sell anything. It does not directly generate revenue. Its sole purpose is to make the email worth opening — independent of the brand’s agenda, independent of any offer, independent of any commercial event. The brand has to be comfortable building something that serves the customer first and speaks to them second.

That comfort is hard-won, because it requires a relinquishing of control that marketing culture is not accustomed to. A NeoMail with a great Magnet might be opened primarily because of a cricket prediction, or a word puzzle, or a piece of micro-fiction — not because of the brand. And that is precisely the point. The open is the first step. The relationship is what compounds over time.

The Magnet’s job is to make the email worth opening on days when the customer is not in the market for the brand’s product. Most days are those days. The Magnet is the bridge across the gap.

 Active Magnets

The interactive format — quiz, prediction, choice — is the most immediately engaging. It asks the customer to participate, and participation creates investment. When you answer a question, you are curious about whether you got it right. When you make a prediction, you want to see the outcome. This is basic human psychology: we pay more attention to things we are involved in than to things we merely observe. Active Magnets leverage this by making the customer a participant rather than a passive recipient.

The variety of active Magnet formats needs to grow continuously. Quiz and WePredict and ‘Hot or Not’ are a starting point. Mini-games, micro-surveys, community challenges, personalised recommendations that require a choice — each adds a different texture of engagement and prevents the staleness that kills any daily habit.

Passive Magnets

There is a version of the Magnet that demands nothing — and this category may prove equally important. A curated one-paragraph ‘today I learned’. A single line of striking poetry. A micro-story serial where each NeoMail advances the plot by a paragraph. A chart that tells a story. A fact that recalibrates your understanding of something familiar.

Passive Magnets matter for a reason that the interactive format can miss: habit requires low friction. If every NeoMail demands a tap, a choice, a moment of active engagement, the habit becomes effortful. Some days, the customer wants to receive rather than participate. Passive Magnets make the email worth opening on those days — and they open up the Magnet format to literary, journalistic, and cultural territory that interactive formats cannot easily occupy.

Continuity Across Magnets

The single most underexplored dimension of Magnet design is continuity. A Magnet designed as a standalone experience resets every day. A Magnet designed as part of a series creates anticipation. A prediction market where results are revealed three days later. A story that advances by one paragraph per email. A weekly trivia thread where the final score is revealed on Friday. These serial structures create the most powerful reason to open: not just curiosity about today’s content, but unresolved anticipation from a previous interaction.

The WePredict format already has this built in: you make a prediction, and you wait to see if you were right. That waiting creates a reason to return. The best Magnet designs will lean into this — using the passage of time, the accumulation of Mu, and the rhythm of daily delivery to make each NeoMail feel like the next chapter in a longer story the customer is genuinely invested in.

Thinks 1898

NYTimes: “Right now, 21st-century geopolitics seems like it’s defined by the struggle between America and China. But the major power with the world’s fastest growing economy and largest population isn’t China. It’s India…Its large and spreading diaspora gives it a unique cultural influence around the world, one that may only increase as other major powers grow old and people remain India’s most important export.” Amitav Acharya: “India is not going to have the industrial revolution like China had — that stage has passed. It’s not going to become the factory of the world like China has become. That window has closed. But the next stage of economic development, a combination of industrial and high technology services — India still needs to find that niche and still move off from exporting raw materials or textiles and the like.”

Allen Grubman: “When you walk away from negotiation, both sides should feel the same way—happy, but also a little sad that they didn’t get everything they wanted. That’s a success. If you walk away delighted that you got everything, the guy who got screwed will be waiting for the opportunity to get you back. Getting everything you want is the beginning of the end of the relationship.”

Paul Ford: “Is the software I’m making for myself on my phone as good as handcrafted, bespoke code? No. But it’s immediate and cheap. And the quantities, measured in lines of text, are large. It might fail a company’s quality test, but it would meet every deadline. That is what makes A.I. coding such a shock to the system.”

WSJ: “The publication of John O. McGinnis’s “Why Democracy Needs the Rich” comes at an opportune moment. A law professor at Northwestern University and former U.S. Justice Department official, Mr. McGinnis seeks to defend the ultrawealthy from the growing number of accusations leveled against them. Although incomplete, Mr. McGinnis’s argument deserves to be taken seriously. Who are the rich? If they’re defined by wealth, Mr. McGinnis would include people in the top 0.1% of asset-holders—$61 million and above—as “truly rich.” What matters to the author isn’t how much they are worth, but how free they are to express their views, take risks and support innovative activities.”

NeoMails: The Attention and Monetisation Surface Brands Already Own (Part 5)

The APU: The Wrapper That Changes Everything

Think about what a brand email looks like today. There is a header with the brand’s logo. A banner image. Some copy — a product recommendation, a sale announcement, a curated collection. A call-to-action button. A footer with the legal small print and an unsubscribe link.

That is the BrandBlock. It is what every brand already has. It is the relationship moment — the brand speaking directly to the customer — and in a NeoMail it retains exactly that function. It comes first, because the customer opened an email from Brand X and should meet Brand X immediately.

What NeoMails adds is the APU: the Attention Processing Unit. Not a replacement for the BrandBlock. A wrapper around it. An architecture of engagement, habit, and monetisation that the BrandBlock sits inside — beginning before the email is even opened, and ending with a live account of the customer’s attention history.

The APU has five components.

Mu in the Subject Line

The APU begins before the email is opened. The subject line carries the µ symbol and the customer’s current MuCount — their running balance of attention, visible in the inbox before they have tapped anything. This is the first signal that this email is different from every other email in their inbox: it arrives with a number that belongs to them, a record of their engagement, a reason to pay attention to what arrives next. The MuCount in the subject is a snapshot — accurate at the moment of send, a timestamp of where the customer stood when the email was dispatched.

The Magnet

The Magnet is the habit engine. It is the reason no NeoMail gets ignored — not because customers feel obligated, but because each Magnet is either an open question (a quiz, a prediction market) or a continuing story (a serial, a community outcome) that the customer is genuinely invested in. Interacting with the Magnet earns Mu. But the Magnet is also where Mu can be spent: burn Mu to personalise the quiz or unlock a harder quiz tier, to bet on the prediction market. This earn-and-burn loop is self-contained within the Magnet — the flywheel that keeps the habit turning. Spending Mu on a better Magnet experience motivates earning more Mu through tomorrow’s open.

The ActionAd

One per NeoMail. No exceptions. The ActionAd is the monetisation layer, but it operates by a different logic from any ad the customer has encountered before. It does not ask the customer to leave. It enables a single useful action — save your details for a lead, subscribe to a newsletter, book a slot, get a quote — inside the inbox, in one tap. Partners whose ActionAds appear are selected and approved by the brand; there is no open auction running inside someone’s email. The ActionAd is what makes ZeroCPM economics work: the send costs nothing to the brand because the ActionAd funds it. Monetisation that earns its place rather than demanding it.

Gameboard Status

After the Magnet and ActionAd, the Gameboard Status creates the forward pull. “Currently Live: Market Prediction. Coming Up Next: Quiz.” Two lines. But those two lines do something no single-brand email has ever done: they connect this email to the next one, and potentially to the NeoMails running across other brands in the customer’s inbox. The Status Bar is the cross-email continuity mechanism — it turns each NeoMail from a standalone send into a node in a larger, ongoing programme. The customer does not just close the email; they leave knowing what is coming next.

The Ledger

At the bottom sits the Ledger: the live MuCount, and behind a single tap, the full earn-burn history. Unlike the MuCount in the subject line — which is a snapshot taken at send time and cannot change — the Ledger is AMP-powered and fetches the customer’s real balance at the moment of open. If they earned Mu from another brand’s NeoMail since this one was sent, the Ledger already reflects it. It is a window into a running account, not a static receipt. The history behind the dropdown is not something most customers will check every day; it is there for the reassurance that it exists — a permanent, transparent record of attention given and value earned.

**

The reframe the APU makes possible is this: every brand already sends a BrandBlock. The BrandBlock is table stakes. The APU is what transforms a routine brand email into a daily destination — by wrapping the brand’s moment inside an architecture that gamifies the open, builds the habit, funds the send, connects forward to tomorrow, and keeps a live account of the relationship. The BrandBlock is what the brand says. The APU is what makes the customer come back to hear it.

Thinks 1897

Kai-Fu Lee: “In America you have OpenAI, Anthropic, Google, and xAI, each of which believes they’re the genius that will beat everyone else and win the Nobel Prize by solving the ultimate problem of AGI. But the Chinese approach is different. The approach is more like a study group, where one company publishes a model, and the other looks at and plays with it. Maybe even talks to the company about how they trained it. All the members of the study group are building open source and then sharing it. So the study groups are formed of very smart kids who are all funded by companies that still want to show profit every quarter. This is very different from the situation in the US, where companies do not care about returns. In China, companies are constrained in how much they can spend. Alibaba isn’t going to lose $10bn the next quarter. But OpenAI can. So, all these reasons cause the Chinese companies to behave the way they do with modest resources, learning and improving, working as a study group, as opposed to the American winner-take-all strategy.”

NYTimes: “If millions are turning to AI as therapists and friends, it is evidence of a great emptiness many people feel living in modern society. AI is filling needs that mostly shouldn’t exist in the first place if we were a healthy society. People (not talking about government) could willingly spend their energies providing better ways to meet each other’s emotional needs and to fill these voids, yet our energies are focused much more on building and being users of advanced technologies. It’s a backward priority.”

Tyler Cowen: “My core model is both simple and depressing. Fertility rates have declined around the world because birth control technologies became much better and easier to use. And people — women in particular — just do not want that many kids…A lot of women, once they face the realities of the stress and trying to make ends meet, want only one kid. You end up with a large number of one kid families, some people who never marry/procreate at all, and a modest percentage of families with 2-4 kids. There are also plenty of cases cases where the guy leaves, self-destructs, or never marries, after siring a single child with a woman. That gives you the fertility rates we are seeing, albeit with cultural and economic variation.”

WSJ: “Yale University finance professor James Choi recently developed a formula that recommends an asset allocation based in part on your age, income, savings and risk tolerance…In many scenarios, the formula recommends a more aggressive, stock-heavy portfolio than other popular guidelines. It also incorporates more of people’s financial circumstances than common rules of thumb for equity allocation, such as the classic 60/40 division of stocks and bonds or subtracting your age from 100. Many simply outsource the decision to a target-date fund based on the year they plan to retire.”

NeoMails: The Attention and Monetisation Surface Brands Already Own (Part 4)

The Third Class of Email

Email has had, for its entire commercial history, exactly two modes of operation.

The first is transactional: utility emails sent because something happened. A receipt arrived. A shipment moved. An OTP was requested. A password needed resetting. These emails are opened because they carry information the recipient is actively looking for. They are not marketing; they are infrastructure.

The second is promotional: persuasion emails sent because the brand needs something. A sale is on. A product launched. A cart was abandoned. A customer has not purchased in 30 days. These emails are opened — when they are opened — because the offer is compelling enough to override the friction of engagement. They are marketing in its most traditional sense: interruption dressed in personalisation.

What has never existed, at any meaningful scale, is a third class: relationship emails sent because the customer wants to open them. Not because they need information, and not because they are tempted by an offer — but because the email itself delivers something genuinely worth their time, independent of any transaction.

NeoMails are relationship emails — built for chosen attention, not forced attention.

The distinction sounds small. It is enormous. When you build for the first two classes of email, you optimise for the sender’s agenda. You ask: what do we need the customer to know, feel, or do? When you build for the third class, you optimise for the recipient’s experience. You ask: why would a customer choose to spend 60 seconds here, today, when they could spend those 60 seconds anywhere?

This shift in design orientation changes everything downstream. The subject line is no longer about urgency or benefit — it is about curiosity and anticipation. The open is no longer forced by FOMO — it is chosen because the email has earned a place in daily routine. The engagement is not extracted through clever persuasion — it is given freely because the experience is worth giving attention to.

The closest analogy in media history is not another email product. It is what Instagram did to photography. Instagram did not make cameras better. It reimagined the format, the rhythm, and the relationship between creator and audience. It made sharing photographs a daily habit, not an occasional event. It created a new category by solving a different problem: not ‘how do we take better pictures?’ but ‘how do we make sharing pictures feel effortless and social and worth doing every day?’

NeoMails ask the same kind of question about email. Not ‘how do we write better subject lines?’ but ‘how do we make opening an email feel like the start of something worth experiencing?’ The answer requires building a new primitive — not a better campaign tool, but a new category of inbox experience entirely.

Why now? Because three things have converged that were not true five years ago. AMP has made genuine interactivity inside the inbox technically feasible. AI has made personalised content generation at scale economically viable. And the attention crisis — driven by platform over-saturation and AI-generated noise — has made owned, permissioned channels more valuable than at any previous point in the history of digital marketing. The third class of email has always been theoretically possible. It is now practically buildable.

The third class of email does not yet have an established form. NeoMails are the proposal for what it looks like: interactive, incentivised, individualised, and sent daily — not because the brand needs to say something, but because the customer has come to expect something worth their time.

That expectation, once created and sustained, is the foundation of everything that follows.