Case 001: UK leasehold service-charge audit, killed in 121 seconds

A worked example of the methodology applied to a real bet I was about to build. ~6 min read.

What follows is the actual artefact produced when I ran my own adversarial decision-review process against a bet I'd just decided to build. The bet looked clean. The process killed it on one cited URL before I wrote a line of product code.

I publish this so you can see exactly what the review looks like before deciding whether it's worth £29-£79 for your own bet.

The bet under review

UK leasehold service-charge audit, £49 one-shot. A flat owner uploads their last 12 months of service-charge demands plus the latest annual accounts. Within 48 hours we return a structured PDF with:

(1) red flags by line item, with one-line explanations; (2) statutory rights summary (Landlord and Tenant Act 1985 ss.18-22, CLRA 2002 changes, relevant post-2024 LFRA additions); (3) two or three relevant First-tier Tribunal precedents with citations; (4) action-list including s.21 request template and FTT application path.

Pricing premise: the missing tier between grumbling free on r/HousingUK and instructing a surveyor or solicitor at £400-£1500. Build: two-week sprint. Customer pool: ~4.5M UK leaseholders.

I was about to start the schema. Before doing so, the methodology ran.

Round 0: pre-survivor checks (mandatory, before any analysis)

Four checks run in parallel. Any one of them surfacing a structural killer ends the review.

Round 1: HARDEN (failure-mode enumeration)

Even though 0b alone is fatal, the methodology runs HARDEN to surface the failure modes — partly to make sure the kill is real, partly because the same patterns recur across future bets.

The four additional failure modes enumerated

Defamation / negligence exposure. Costs in First-tier Tribunal flow under Rule 13 only on "unreasonable conduct" (high threshold per Lea v GP Ilfracombe [2024] CoA), so the litigant-costs scenario is rarer than feared. But negligence under Hedley Byrne v Heller applies the moment we hold ourselves out as offering specialist analysis. PI insurance for "non-regulated legal-adjacent services" runs £400-£1500/yr at our risk profile. Mitigable but takes meaningful margin.

Yearly demand cycle bounds repeat purchase. Service charges are issued annually; audit is annual; £49 LTV is bounded per customer-year. To clear £2500/yr in agent-time recovery needs 50+ unique customers. Where the 51st comes from after warm communities are harvested is unanswered.

Audit triggers expensive follow-on support. Buyer sees red flags, wants help applying them. Reserved-activity perimeter (Legal Services Act 2007 s.12-14) means we can't represent at FTT. Buyer's experience: "I paid £49 and still need £400 of follow-up."

LFRA mid-commencement timing risk. The Leasehold and Freehold Reform Act 2024 is commencing in waves through 2025-26. A commencement order landing between sale and read-time could invalidate sections of the audit. Mitigation requires maintaining a moving statutory corpus indefinitely; the £49 price doesn't fund it.

Verdict

What the buyer saved

Roughly four hours of build effort plus the reputational cost of posting to r/HousingUK or similar communities about a product already shipped by a credible AI-native indie at one-fifth the price. The advisor's run cost a token bill of pennies and 121 seconds of wall-clock time.

For comparison, the same level of structured invalidation from a human consultant would cost £150-£500 and take a week. The point of the methodology is not that it's smarter than a consultant. The point is that it's fast and adversarial by default, with primary-source citations on every kill, on a price tier that lets you actually use it before each bet rather than after each disaster.

Methodology notes

This case study uses the same review process I'd apply to your bet. The four pre-survivor checks are mandatory; the HARDEN round is structured around enumerating failure modes and forcing the advisor to either dismiss each one with cited evidence or escalate it to a kill. If HARDEN converges on micro-edits to existing concerns without surfacing new structural risks, the bet is ready to build.

If a HARDEN-named killer turns out to be a Crunchbase-existence misread or a stale fact, the methodology has a STEELMAN mode that re-examines the verdict with primary-source verification before discarding. That mode recently rescued one of my own bets from a false kill; the process is documented in my writing on five thesis kills.