← all hypothesesSpecialist Referral Reliability Ledger for Independent Veterinary Practices
ranked [TRIANGULATED] filter 7.5/15 spread ±2.5 signals: 3 independent
What is this?
A lightweight commitment ledger that independent vet practice owners use to track what specialty hospitals and referral partners actually deliver versus what they promised. Each time the owner refers a case, they record three fields: specialist, commitment (appointment date, discharge date, follow-up communication, treatment plan summary), and case ID. When the case closes, they tag the outcome. AE's structured constraint language stores each commitment with lifecycle states (active → resolved → pattern-flagged), adversarial multi-model debate adjudicates ambiguous slips (was 'Friday discharge' a hard promise or aspirational?), and scored retrieval surfaces patterns like 'Specialist Hospital A slips 40% on orthopedic discharge dates.' At the NEXT referral decision, the owner sees a reliability score per specialist for that case type. Pain removed: vet owners absorb client anger when specialists slip ('you told me he'd be home Friday'); today they pick referrals by gut. AE is uniquely suited because lifecycle-state constraint tracking + reality-graded outcomes + adversarial slip-interpretation are exactly its core machinery, applied to clinical commitments rather than capital-allocation forecasts.
Why did we consider it?
AE's constraint-lifecycle + adversarial-adjudication stack is a natural fit for tracking specialist referral reliability — a pain independents feel weekly, with an actively forming adjacent market and no incumbent owning the GP-side ledger.
What breaks?
- Workflow Friction: Requires manual dual-entry of referral promises and outcomes by overworked vet staff, guaranteeing low compliance and abandoned ledgers.
- Market Consolidation: The UK vet market is heavily corporate-owned, where referrals are mandated internally, destroying the TAM for independent referral choice.
- AE Mismatch: Specialist cases take weeks (violating the <24h feedback constraint), and AI debate is extreme overkill for basic timeline tracking.
Fatal objection: VetLoop passively captures referral lifecycle data as a workflow byproduct; AE demands manual double-entry from the practice's busiest person and will be abandoned within weeks.
What did we learn?
Still in evaluation (phase: ranked). No verdict yet.
Filter scores
Five axes, each scored 0-3. Three independent runs by different model perspectives. Median shown.
| Axis | What it measures |
|---|
| data moat | Does this product accumulate proprietary data that compounds? |
| 10x model test | Does a better model make this more valuable, or redundant? |
| fast feedback loops | Can outputs be graded against reality in <30 days? |
| solo founder feasible | Can a solo operator build and run this without a team? |
| AI providers cant eat it | Do hyperscalers have structural reasons NOT to build this? |
Composite median: 7.5 / 15. Graduation threshold: 9.0. IQR across runs: 2.5.
Evidence
Signal A — Primary source
The rapid growth of veterinary specialty practices has created a number of vexatious ethical issues relevant to veterinary medicine.
Signal B — Competitor with documented gap
NectarVet tracks veterinary practice KPIs focused on revenue streams, costs, and profit margins — financial health indicators only. There is no referral-partner reliability tracking, commitment lifecycle management, or specialist outcome scoring. The gap is the entire referral accountability layer: recording what specialists promised versus what they delivered per case.
Signal D — Demand proxy
{"found":true,"summary":"Reddit discussion shows pet-owner frustration with veterinary pricing transparency (proxy for broader accountability demand); LinkedIn posts surface UK CMA regulatory push for veterinary transparency reforms and independent practices organizing to collect and analyze performance data — all indicating market-level demand for accountability tooling in veterinary services.","sources":["https://www.reddit.com/r/unitedkingdom/comments/1qp2zj1/vets_may_have_to_publish_prices_of_common_pet/","https://www.linkedin.com/posts/sarah-cardell-756b34228_cma-concludes-market-investig…
Evaluation history
| When | Stage | Phase |
|---|
| 2026-05-13 15:37 | evidence_search | ranked |
| 2026-05-13 09:31 | fatal_objection | ranked |
| 2026-05-13 09:24 | fatal_objection | ranked |
| 2026-05-13 09:19 | filter_score | scored |
| 2026-05-13 09:14 | filter_score | scored |
| 2026-05-13 09:07 | filter_score | scored |
| 2026-05-13 09:01 | filter_score | scored |
| 2026-05-13 08:56 | filter_score | scored |
| 2026-05-13 08:50 | filter_score | scored |
| 2026-05-13 08:42 | evidence_search | argument |
| 2026-05-13 08:36 | audience_simulation | argument |
| 2026-05-13 08:31 | red_team_kill | argument |
| 2026-05-13 08:24 | steelman | argument |
| 2026-05-13 08:21 | genesis | argument |