ConceptFoundationalQuality, Cost & Token Economics / Pricing AI products: seat, usage, outcome / #1

Compare seat-based, usage-based and outcome-based pricing for an AI product.

PICK · pricing an AI product, three ways at once

Barrowmoor Legal Technologies built Clauseward so a contract could get the same careful read whether it was worth two thousand dollars or two million. Three ways existed to charge for that read: by the seat, by the document, by the result. For fourteen months Barrowmoor priced it by the document, and that is what let a twelve page vendor agreement slip through completely unread.

The direct answer
Price Clauseward seat-based, with a bundled monthly allowance of reviews sized to real per-attorney volume, and meter only the overage quietly at renewal, never live, per document. Usage-based pricing puts a price tag on the exact moment someone decides whether a routine-looking contract is worth checking, and that is precisely the moment an AI reviewer earns its keep. Hold outcome-based pricing back until a flagged risk can be tied to a confirmed result inside a window short enough to actually price, ninety days, not years.
Do this, in order
  1. Price it seat-based, with a bundled review allowance, and meter only the overage after the fact.Why: this is the one thing that removes the moment somebody has to decide if a check is worth paying for.
  2. Never let a live, per-document price sit between an attorney and the "run it" button.Why: that exact moment is where usage-based pricing taught people to skip the boring-looking contracts.
  3. Hold outcome-based pricing back until a flagged risk can be tied to a confirmed result within about ninety days, not a multi-year legal tail.Why: pricing on a result nobody can settle quickly just moves the trust problem onto the invoice.
  4. Track "contracts uploaded with zero reviews run" as its own number, separate from total volume.Why: that is the number that would have caught the missed clause before it renewed, not after.
  5. Keep pure usage-based pricing on offer for buyers who would never fill a seat.Why: a seat-based floor makes no sense for a firm doing six contracts a year.
  6. Revisit the whole split once inference cost drops under about fifty cents a contract and a live pilot proves behavior doesn't change at that price.Why: cost falling is necessary, it just isn't the whole test on its own.

How to answer this, stage by stage

Nobody is testing whether you can rank three billing models on a slide. They are testing whether you can find the one moment a live price lands on somebody's judgment, and defend pulling it out.

1
Reframe the question before answering it
Say it like this
"Before I pick one, this isn't seat versus usage versus outcome as three flavors of the same thing. It's a question about which one puts a price tag on the exact moment somebody decides whether a boring-looking contract is worth checking."
Why this works
Stops the answer turning into a three-way shootout between billing models and keeps it on the one behavior each price actually changes.
2
Scope it to one product and one owner
Say it like this
"Let me ground this in one product. Clauseward is a contract review tool built by Barrowmoor Legal Technologies. It reads a contract and writes a plain note in the margin wherever a clause is worth a second look. Loriane Fenimore owns pricing for it end to end."
Why this works
One product turns a pricing debate into a real decision with real dollars attached to it.
3
Position: name the pick before any of the reasoning
Say it like this
"I'd price it seat-based, with a monthly allowance of reviews built in, and meter only what goes over that allowance, after the fact, at renewal. Not live, per document, and not tied to a legal outcome, not yet."
Why this works
Naming the pick first stops the answer sounding like a comparison chart with no conclusion at the bottom.
4
Impact: say who feels each of the three costs
Say it like this
"A finance partner feels seat-based pricing once a month, as one number on an invoice, whether an attorney runs the tool three times or three hundred. An attorney feels usage-based pricing every single time they upload a contract, as a small decision before they even open it. Outcome-based pricing lands on nobody until a renewal or a dispute proves, months later, whether the flag actually mattered."
Why this works
Splitting the cost by who feels it, and when, turns three logos on a slide into three real decisions three different people make.
5
Cost asymmetry: rank all three, and name the one to protect against
Say it like this
"Seat-based pricing's worst case is paying for a seat that barely gets used, that's cheap and visible, it shows up on the invoice and gets fixed at renewal. Outcome-based pricing's worst case is an argument about whether the AI actually caused the save, annoying, but it stays in a spreadsheet. Usage-based pricing's worst case is somebody quietly deciding a boring-looking contract isn't worth four dollars to check, and that one stays invisible until it's a lawsuit."
Why this works
This is the hardest step, and doing it for three options instead of two is the whole point. If all three costs sound about the same size, the real asymmetry hasn't been found yet.
6
Prove it with the real incident, compressed to four sentences
Say it like this
"A twelve page vendor agreement at Quaystone Freight never got run through Clauseward at all, because a busy associate decided it looked routine and wasn't worth the four dollar charge. It carried an auto-renewal with no exit window and an uncapped liability clause. Fourteen months later it renewed itself into a bad three-year term, and unwinding it cost Quaystone close to $180,000 and four months of negotiating. Nothing about that miss was an AI error, Clauseward was simply never asked to look."
Why this works
Shows the cost is a real dollar figure attached to a real contract, not a hypothetical about human nature.
7
Kill criteria, then close on the rule
Say it like this
"I'd revisit this once Clauseward's own inference cost drops under about fifty cents a contract, and a live pilot at that price shows attorneys don't quietly start skipping the boring-looking ones anyway, cost dropping alone doesn't prove the behavior's gone. Until then: seat-based, with a bundled allowance, meter the overage quietly, and leave outcome pricing for later."
Why this works
Ending on the rule, not the last number, keeps this sounding like judgment instead of a pricing menu read out loud.

Let's learn

Clauseward reads a contract someone uploads and writes a short note in the margin wherever a clause is worth a second look, the kind of note a senior associate leaves for a junior one before they've even asked for it.

Before Barrowmoor built it, a routine twelve page vendor agreement got about forty minutes of a real read, longer if the language was messy. Even then, on a busy week, the contracts that looked boilerplate got a much faster skim, sometimes none at all. A two million dollar acquisition got the careful read. A parking lot maintenance contract mostly didn't.

Clauseward changed that math. It reads that same twelve pager in under ninety seconds and flags anything unusual, whether the contract is worth two thousand dollars or two million. In its first year it caught something genuinely risky, an uncapped liability clause, an auto-renewal with no exit window, something like that, in about one contract in twelve.

Hand sketched icon list, three numbered rows on off white paper. Row one, a person icon, seat, pay per attorney, every month, used once or never. Row two, a gauge icon in amber, usage, pay per contract, right when someone clicks run. Row three, a scale icon in green, outcome, pay per result, confirmed months after the work.
Three real ways to charge for the same read. Each one bills a different person, at a different moment.
Hand sketched flow diagram, four rounded boxes in a row connected by short lines. Upload, then AI flags risk highlighted in amber, then Attorney checks, then Renewal.
One pipeline. A usage price taps in at the second box, the exact moment a person decides whether the flag was worth paying for.

Here's the part that wasn't the real problem: Clauseward missing a clause now and then. It happens, every AI reviewer has a real miss rate, not zero. What actually hurt Barrowmoor was priced somewhere else entirely. Clauseward launched charging four dollars a contract, billed the moment someone clicked "check this." And once that price existed, attorneys started deciding, contract by contract, whether checking was worth it.

We did not lose four dollars a document. We lost the contracts nobody thought were worth checking.

At its worst, that habit put the price tag on exactly the wrong contract. A twelve page vendor agreement that looked routine got skipped to save the four dollars, and it carried an auto-renewal clause with no exit window. Nobody found out until it renewed itself into a bad three-year term and cost real money to unwind.

Hand sketched comparison, three panels side by side. Left, a grey box labeled empty seat, cheap, visible, fixed at renewal. Middle, an amber box with a question mark labeled outcome dispute, annoying, stays in a spreadsheet. Right, a red orange document icon labeled skipped contract, hidden, quiet, a lawsuit later.
Three worst cases, not two. Only one of them stays invisible until somebody sues.
Knowledge spark: what is a usage-based AI price actually metering? Every time Clauseward reads a contract, a model has to process the whole document, page by page, and that costs real computing time. A usage-based price is really a price on that computing cost, handed straight to whoever clicked run, at the exact second they clicked it.

Barrowmoor's own numbers show why a flat seat doesn't fit every buyer either. A light user checking twenty contracts a month barely dents a two-hundred-forty-nine-dollar seat. A firm running two hundred contracts through Clauseward during a due diligence sprint would badly undercharge Barrowmoor's own compute bill if that same seat stayed flat and unlimited forever.

Cost, by the numbers: monthly bill under each pricing model, pure form, light user vs heavy user
$900 $450 $0 $249 $80 $200 Light user, 20/mo $249 $800 $600 Heavy user, 200/mo
Seat, unlimitedUsage, $4/contractOutcome, base plus per flag
A flat unlimited seat barely changes with volume. A pure usage meter is the one that swings hardest, cheap for a light user, brutal for a firm mid deal-sprint, which is exactly why nobody should feel that swing live, per click.

That's the real shape of the problem: a flat seat is generous to the wrong user, a live per-document meter is dangerous to the wrong contract, and neither one, on its own, was ever going to be right.

The decision that mattered Clauseward now bills per seat with a bundled allowance of reviews built in, and only meters what goes over that allowance, quietly, at renewal. No review, big or small, ever has a visible price tag attached to the moment somebody decides to run it.

The choice I would take back: the pricing launch review, fourteen months earlier, where charging per document felt like the fairest way to price a brand new AI tool. Nobody in that room decided to put a price on hesitation. It was just the natural shape of charging for what people use.

What I'd leave alone: Clauseward's separate renewal-tracking feature, which watches signed contracts for deadlines and is still priced per contract tracked. Nobody skips tracking a renewal date to save the fee, the way they skip an upfront risk check, because there's no moment of doubt sitting on top of a date.

The lesson: charging by use was never the mistake on its own. The mistake was landing that charge on the exact moment somebody had to decide if a risk check was worth it, so the cheapest-looking contracts stopped getting checked at all.

Now here is the same thing as a story

The short version sits above. Read below for why one offhand remark on a renewal call changed how Barrowmoor prices a contract it isn't sure is worth checking.

For six years before Clauseward existed, Loriane Fenimore built pricing models for legal software nobody used consistently, and she was good at it. Barrowmoor's board still credits an earlier seat-based model of hers with getting the company to break even eighteen months ahead of plan.

For Clauseward's first eight months, usage-based pricing looked like the right call. Three pilot firms loved it, paying four dollars a document felt fairer than a flat seat nobody could size correctly on day one, and everyone, Loriane included, called it the honest way to price a new kind of tool.

Then the habit thinned, in three beats nobody flagged at the time. For the first two months, associates ran everything through Clauseward, out of curiosity as much as anything. By month five, busier teams started batching contracts into one weekly review instead of checking each one the moment it landed. By month eight, at firms watching a tightening budget, skipping the "obviously fine" ones, the short, boilerplate-looking vendor contracts, had become the reflex, without anyone deciding it on purpose.

Hand sketched timeline with three milestones on a wobbly line. First, runs everything, first two months. Second, batches weekly, to save spend. Third, skips the boring ones, highlighted in red, reflex by month eight.
Three small beats, months apart. None of them looked like a crisis on their own.

The trigger was small. On a renewal call, Cassian Ilyenko, who ran customer success, mentioned almost as an aside: "one of our clients says their associates stopped running checks on anything under fifty thousand dollars in contract value, is that expected?" Loriane didn't have a real answer.

She pulled a quarter of usage telemetry that night. Twenty-three percent of contracts uploaded to Clauseward had never actually been run, not flagged, not reviewed, just sitting there. She had a fix live within two weeks: seat-based pricing, a bundled allowance of reviews, quiet metering on anything over it. She called it done.

Clauseward was never wrong to cost something. It was wrong to cost something at the exact moment someone decided whether to check.

It wasn't done. Two weeks after the new pricing shipped, a call came in from Quaystone Freight's in-house legal team. A twelve page vendor agreement, the kind nobody thought twice about, had auto-renewed into an uncapped, three-year liability term. It had never been run through Clauseward at all, back when the old pricing was still live, because it looked too routine to be worth four dollars. Unwinding it cost Quaystone close to $180,000 and four months of negotiating.

It was never really about the four dollars. Loriane had priced three real options, and for fourteen months the one she'd chosen billed the exact instant somebody had to decide whether doubt was worth paying for.

The decision Loriane would take back happened at that pricing launch review, fourteen months earlier. "We only charge for what people actually use, that's the fairest way to price an AI tool," she said, and with three pilot customers who loved it in the room, that was true enough that nobody pushed back. Nobody asked what happens once budgets tighten and "actually use" turns into a decision made contract by contract, four dollars at a time.

Run the audit again with the new pricing live, seat-based, forty reviews included, overage billed quietly at renewal. The following quarter, Loriane reran the same never-run check. The number that had sat at twenty-three percent for two straight quarters dropped to zero. Every contract uploaded got checked, boring-looking or not.

Hand sketched comparison, two panels with a VS between them. Left, a pink question mark box labeled before, 23% of contracts never run, one slipped through. Right, a green document icon labeled after, seat plus allowance, 0% never run.
Same audit, rerun after the pricing changed. The tool didn't get smarter. It just stopped costing anything at the moment of doubt.

One design put a price tag on the moment of doubt. The other put a price tag on the month, and let the doubt go check itself.

What I'd tell myself in that first launch review: charging only for what people use isn't automatically fair. It's fair right up until the price lands on the one decision you actually needed somebody to make without thinking twice.

PICK, stretched to fit three options, not two

This isn't a two-sided argument dressed up with a third name. PICK is what keeps "charge for what people use, obviously" from becoming a decision nobody actually made.

PPosition. What's the actual call, before the three options get compared?
Seat-based, with a bundled allowance, and overage billed quietly at renewal. Usage-based and outcome-based pricing both had real strengths, and neither one gets to price the moment someone decides whether to bother running a check.
Name the pick first, or three billing models on a slide just look like homework, never a decision.
IImpact. Who feels each of the three costs, and when?
A finance partner feels seat-based pricing once a month. An attorney feels usage-based pricing every time they upload something. Nobody feels outcome-based pricing until a renewal or a dispute proves, months later, whether the flag mattered.
Three options means three different people feel the bill, at three different moments. Naming all three, not just two, is what makes this a real three-way pick instead of a two-way pick wearing a third name.
CCost asymmetry. Which of the three is cheap and visible, and which is hidden and expensive?
Seat-based pricing's worst case is cheap and visible, an underused seat sitting on an invoice. Outcome-based pricing's worst case is annoying but contained, an argument in a spreadsheet. Usage-based pricing's worst case is hidden and expensive, a boring-looking contract nobody thought was worth checking.
This is the step most answers skip on a three-way question, because it's tempting to just average the three instead of ranking them.
KKill criteria. What evidence flips the pick?
Inference cost dropping under about fifty cents a contract, plus a live pilot proving attorneys don't quietly start skipping the boring ones anyway. And, separately, a flagged risk that can be tied to a confirmed result inside about ninety days, which is what would finally make outcome-based pricing worth testing.
A pick that can't say what would change it isn't really a pick, and on three options that's true twice over, not once.
The kill line, charted: inference cost per contract, by quarter, against the fifty cent threshold
$1.60 $0.80 $0 Q1 Q2 Q3 Q4 Q5 Q6 $0.50, safe to test live metering again $1.40 $0.34
Where the cost startedFirst quarter under the line
Cost crosses the fifty cent line between Q4 and Q5. Crossing it is necessary. It isn't sufficient on its own, the kill criteria still needs a live pilot to confirm nobody starts skipping contracts again once the meter comes back.

One alternative Loriane's team considered and dropped early was a blended price, a small charge on all three axes at once, a bit per seat, a bit per document, a bit per outcome. It lost because splitting a small charge three ways just multiplies the number of moments somebody has to think about cost, instead of removing the one that mattered. The AI-specific risk worth naming by name is a quiet kind of drift: Clauseward's own eval set is built from real customer runs, so if a live price suppresses which contracts get checked, the eval set narrows right along with it, to whatever still gets run, and accuracy numbers can stay high while real-world coverage quietly shrinks underneath them. The guardrail is sampling a slice of the contracts nobody ran, checking them for free, and folding that back into the eval set every month, so the number on the dashboard can't outrun what the tool is actually seeing. And the trade being accepted, plainly: Barrowmoor gives up some revenue from its heaviest users, since a bundled allowance won't fully price what a due diligence sprint actually costs to run, in exchange for a price that never once asks an attorney to think twice before checking something.

And if you want to be sure it really works, try it somewhere else

Same four letters, a translated contract instead of a reviewed one, and this time the hidden cost isn't a missed clause, it's a wrong word nobody proofread.

Interline is a translation tool Milldrift Translation built for agencies that manage freelance linguists. A translator drops in a source document, a contract, a product manual, whatever it is, and Interline returns a full draft translation with flagged segments wherever it wasn't confident, an idiom, a legal term with no clean equivalent, that kind of thing. Benedek Redshaw runs vendor management for the freelance pool that piloted it. Interline's own cost per word works out to about six tenths of a cent, most of it spent on the flagged review pass, not the first draft.

Hand sketched flow diagram, five rounded boxes in a row connected by short lines. Submitted, then AI draft, then Risk check highlighted in blue, then Proofread, then Delivered.
Interline's pipeline has a box Clauseward never needed, a gate that only the delivery action has to pass through.
The decision Benedek's team would take back Interline first billed per word translated, matching exactly what every human translation vendor already invoiced, since that felt like the safest way to price a brand new AI tool. That held while every job still got a full human proofread regardless of price. Once agencies started skipping the proofread pass on documents they judged "low risk" to save the fee, since a proofreader's day rate dwarfed the per-word AI charge, the real risk moved: a mistranslated dosage line or a mistranslated liability clause could ship untouched, because "low risk" was a guess made to save money, not a real read of the document.

Same rank as before, a different lever: for Clauseward, the hidden cost was a contract nobody reviewed. For Interline, it's a document nobody proofread, and a wrong word sitting inside the wrong clause. The fix isn't a bundled seat allowance this time, translators are freelance, not fixed headcount. It's a gate: the AI draft and its flags can go out immediately, priced per word same as always, but the action of marking a job delivered without a human proofread is gated behind the document's own risk category. Legal, medical, and safety documents don't get to skip that pass, no matter what the per-word price tempted someone to save.

Swap the trigger and it still runs.
Speed: an interviewer caps you at ninety seconds. Skip straight to it, price the draft and the flags per word like everyone else in the industry does, but gate the one action that can't be undone, skipping human proofread, behind the document's own risk category, not behind what it costs to check.
Cost: budget exists this quarter for either a cheaper per-word rate or a mandatory proofread gate on high-risk documents, not both. The gate wins, because a per-word discount doesn't matter if the thing it saves someone from doing is the one check the document actually needed.
The model got better, for real: say Interline's flagged-segment accuracy improves enough that human proofread catches almost nothing new. Real progress, and it narrows how often the gate actually changes anything. It doesn't remove the gate, since "almost nothing" on a legal or medical document is still not nothing.

Where people run it wrong.
They let a price built for routine work quietly set the bar for whether a high-stakes document gets checked.
They assume a lower AI cost automatically means a safer shortcut, instead of asking what specific check the savings is skipping.
They price a new AI product to match the old human vendor's invoice out of habit, without asking whether that pricing shape was ever actually chosen on purpose.

How to use it live. Say the real question out loud before naming a side: "before I answer, is this a price on the work itself, or a price on the one moment somebody decides whether to double check it." That's what tells you whether a familiar per-unit price is safe to copy or not.

Flashcards (tap any card to flip it)

1 · THE FRAMEWORK
What framework is this, and what's its one job?
Tap to flip
ANSWER
PICK: commit to a position, then show the asymmetry between kinds of error, here run across three pricing options instead of two.
2 · THE PERSON
Who is this answer about?
Tap to flip
ANSWER
Loriane Fenimore, VP of Finance and Pricing at Barrowmoor Legal Technologies, who owns how Clauseward gets priced end to end.
3 · THE QUIET HABIT
What did Loriane's team ship at launch that felt fair?
Tap to flip
ANSWER
Pure usage-based pricing, four dollars per contract reviewed, charging only for what a firm actually used, because that felt like the fairest way to price a new AI tool.
4 · THE POSITION
What's the actual position this answer takes?
Tap to flip
ANSWER
Seat-based, with a bundled monthly review allowance, and overage metered quietly at renewal, not live per document, and not tied to an outcome yet.
5 · THE OLD DECISION
What decision would Loriane take back?
Tap to flip
ANSWER
Launching pure per-document pricing, which put a live price tag on the exact moment an attorney decided whether a routine-looking contract was worth checking.
6 · THE NUMBER
Fill in the blank: about ___ percent of contracts uploaded to Clauseward had never actually been run, and one skipped contract later cost a customer about $___.
Tap to flip
ANSWER
23 percent never run, about $180,000 to unwind the one contract that slipped through.
7 · THE REPLAY
Same audit, new pricing, what changes?
Tap to flip
ANSWER
With seat-based pricing and a bundled allowance in place, the next quarter's audit found the never-run rate had dropped from 23 percent to zero.
8 · CROSS-PRODUCT TRANSFER
Section 4 answers this same question again for a different product. Which product, and what's the hidden cost there?
Tap to flip
ANSWER
Interline, an AI translation tool. There, skipping a check isn't a missed contract clause, it's a document that ships without human proofread because the per-word price made "low risk" look like a safe guess.

Check yourself Score: 0 / 0

True or false
1. True or false: the $180,000 loss at Quaystone Freight happened because Clauseward read the vendor agreement and missed the risky clause.
  • True
  • False
Show hint
Look at when in the sequence the contract was actually run through Clauseward.
Show answer
False. The contract was never run through Clauseward at all. An associate decided it looked routine and skipped the four dollar charge, so nothing about the miss was an AI error.
Multiple choice
2. Why does a live, per-document price tend to suppress exactly the reviews where an AI catches the most value?
  • A. Because the model runs slower on shorter, routine documents.
  • B. Because the price lands at the exact moment someone decides whether a "probably fine" document is worth checking, right before they'd skip it anyway.
  • C. Because usage-based pricing always costs more than seat-based pricing.
  • D. Because the AI charges extra for documents it is less confident about.
Show hint
Look at the knowledge spark in Section 1.
Show answer
B. The price and the moment of doubt land on the exact same instant, so the cheapest looking documents are the ones most likely to get skipped, which is also where a human is least likely to double-check on their own.
Fill in the blank
3. Fill in the blank: Loriane's audit found the never-run rate sitting at ___ percent for two straight quarters, and it dropped to ___ percent once seat-based pricing with a bundled allowance took effect.
Show hint
Look at the telemetry number Loriane pulled the night Cassian asked his question, and the replay that followed.
Show answer
23 percent, then 0 percent. That drop is what proved the new pricing, not a smarter model, was what actually fixed the gap.
Short answer, where it wouldn't matter
4. Name a place inside Clauseward itself where charging per item genuinely doesn't create a bad incentive.
Show hint
Look at "what I'd leave alone" in Section 1.
Show answer
Model answer: The renewal-tracking feature, priced per contract tracked. Nobody skips tracking a deadline to save the fee the way they skip an upfront risk check, because there's no moment of doubt sitting on top of a date.
Short answer, apply it yourself
5. Pick an AI product you use that could be priced by seat, by use, or by outcome. Name which one you'd pick as the primary model, and the one moment a live per-use price would tempt someone to skip a check they shouldn't.
Show hint
Think of a product where a small, boring-looking item is exactly the one most likely to hide a real mistake.
Show answer
Model answer: A receipt-scanning expense app. Price it seat-based per employee, not per receipt scanned, because a per-receipt fee would tempt someone to stop scanning the small, boring receipts, exactly the ones most likely to hide an error nobody double-checks.
Multiple choice
6. Clauseward's inference cost drops from $1.40 to $0.20 a contract as the model gets cheaper to run. Does that alone mean it's time to go back to pure usage-based pricing?
  • A. Yes, once the vendor's own cost is low, the price to the customer should always drop with it.
  • B. No, a live per-document price can still tempt someone to skip a check at the exact wrong moment, so cost dropping isn't the whole test, a live pilot still has to show behavior doesn't change.
  • C. Yes, because cheaper inference always means the model is more accurate too.
  • D. No, because usage-based pricing can't legally apply to legal documents.
Show hint
Reread the kill criteria stage and what it says cost dropping does and doesn't prove.
Show answer
B. Cost crossing the fifty cent line is necessary but not sufficient. The kill criteria still needs a live pilot showing attorneys don't quietly start skipping the boring-looking contracts again once a price reappears.
Before you close the answer
Why this works
Tests whether you can hold three options in your head and rank the hidden cost among all three, not just win a two-way fight. Most candidates can defend a two-way tradeoff. Doing it three times, without flattening two of the options into one, is the actual bar.
Follow-up traps
"Isn't outcome-based pricing obviously the best one, since it's the most aligned with real value?" Response: alignment on paper doesn't help if the outcome takes months to confirm and gets argued over once it lands. A price nobody can settle an invoice against isn't really priced yet.

"Why not just blend all three into one hybrid price from day one?" Response: a blended price multiplies the number of moments somebody has to think about cost, instead of removing the one that actually mattered. Better to remove the live decision first and revisit the mix once there's real data.
If pressed
Clauseward's own eval set is built from real customer runs. If usage pricing suppresses which contracts get checked, that eval set silently narrows to whatever still gets run, so accuracy can look steady while real coverage quietly shrinks. Barrowmoor now samples a slice of never-run contracts every month, reviews them for free, and folds the result back into the eval set, specifically to keep that number honest.
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