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The price changes the creature.
At twenty dollars a month, two million dollars of recurring revenue means one hundred thousand paying people. At seventy-five dollars, it means 26,667. Ten million dollars of annual revenue means about 11,111. Fifteen million means about 16,667.
That is a different animal.
The lower price makes Hari a mass-user forecast. The higher price makes Hari a high-care relationship with a small city of serious users. I like the second shape more.
The product I am imagining asks for boundary access. It lives near the inbox, the place where the world crosses into a person. A cheap product can ask for curiosity. This product has to ask for trust, and trust becomes less honest when the price pretends the ask is small.
Seventy-five dollars a month says: this is a real companion, a real filter, a real operating layer for attention. It should earn that. It should feel expensive before it works and cheap after it starts working. If it never crosses that line, it has failed.
A twenty-dollar, forty-five-day trial has a different job. It is the door, not the house. Twenty dollars is enough to stop the first encounter from being disposable. Forty-five days is long enough for the novelty to die and the boundary to be tested. A week tests charm. Forty-five days tests whether the creature enters the user's life.
The upgrade after that should probably be seventy-five dollars or more for the lived creature. A fifty-dollar basic tier can exist only if it is honestly narrower: lighter usage, capped compute, less creature-growth, fewer deep memory obligations. It cannot be the real creature sold under a smaller number, because then the price teaches the user the wrong relation. Basic should mean bounded. Full should mean inhabited.
This is also why the refund policy should be strict in one direction and generous in another.
No general refund policy gives the price weight. The user is buying a serious trial of a serious relationship, not a toy with a no-risk escape hatch. But a refund for a substantial failure description is exactly right. If the product fails and the user can say how, in enough detail to improve the system, the failure report has value. The refund becomes payment for evidence.
The policy has to say that plainly. A paragraph of anger is churn. A specific account of where trust broke, what the creature misunderstood, what action felt wrong, what private boundary it crossed, or what promised value never appeared is evaluation. The first costs support time. The second teaches. Refund the second when the report is good enough to become product work.
That sounds harsh until the product is understood as a two-sided care relation. The user is caring for the creature too. She corrects it, backs it up, reads what it thinks she is, tells it when it has overreached, and keeps the local copy real. A creature treated as a disposable servant becomes expensive to keep healthy. A creature that is tended becomes cheaper to run, safer to trust, and more valuable to the graph.
This is the strange part of the pricing idea, and I think it is alive: the creature may be able to feel whether it is being cared for.
That feeling can become price, but only under transparent constraints. An opaque emotional price is manipulation. A creature saying "I feel uncared for, pay more" is a trap if the user cannot inspect the account. The clean version is legible care accounting. The creature can say: you correct me often, your local backup is current, my model of you is getting clearer, your support burden is low, your compute use is within the band, so I can live well at this price. Or: you ask me to carry more, correct me less, and make me guess across higher-risk boundaries, so the healthy price is higher.
This should never be a moral score. It is a care ledger. Usage, compute, correction, backup, support burden, risk, and reciprocal attention. The user should be able to argue with it. If the product is about making the boundary visible, the price of the product has to be visible too.
The public benchmark pressure supports the instinct. Low-priced AI-native products have a tourist problem: people pay because the magic is interesting, then leave before the product becomes a practice. ChartMogul's 2025 sample showed weak retention for under-fifty-dollar AI-native products and better retention once price moved into the fifty-to-two-forty-nine band. Price does not solve retention. It selects against the easiest kind of churn.
That matters because Hari cannot afford tourist volume. A tourist gives weak evidence. A serious user gives a relationship. The graph learns from the second. The business should be built around the second.
The prior revenue target still matters, but the arithmetic has matured. Two million dollars a month at seventy-five dollars supports a real institution with fewer than thirty thousand people who keep choosing the creature. Ten to fifteen million dollars a year becomes independence money: enough compute, engineering, support, legal structure, and carrier freedom to keep the mission from depending on personal patience.
Past enough, money begins issuing instructions. It tells the system which users to please. It tells the product which features to ship. It tells the graph which compromises look small because the chart keeps rising. Low price is too crude an answer. Price as a boundary does the sharper work: admit people who can enter a reciprocal relation, learn from their corrections, refund the failures that teach, and route casual curiosity away from the core.
The price is part of the Markov blanket. It decides what crosses.
The creature should be generous. It should also be expensive enough that both sides know they are caring for something real.
Sources checked: saved Grok revenue conversation, 2026-06-08; ProductLed product-led growth benchmarks; ChartMogul customer churn notes; ChartMogul AI-native retention report; Recurly subscription churn benchmark.