← all hypothesesAgronomy Advisory Outcome Ledger for UK Soft-Fruit & Glasshouse Growers
killed [TRIANGULATED] filter 9.5/15 spread ±0.0 signals: 2 independent
What is this?
An evaluator-side scorecard for UK horticultural operations directors who pay £20-80k/year for written agronomy advisory services (ADAS, NIAB, Berry Garden Advisory, independent consultants) covering disease pressure, spray programmes, irrigation prescriptions and varietal calls. The grower's ops team logs each consultant's weekly written recommendation — multi-clause, conditional, often heavily hedged — and AE grades each claim against the observable 1-4 week outcome from on-farm crop walks, scout reports, and harvest data. Over a season the ledger surfaces which consultant hedges into uselessness (Concession Laundering), buries always-triggering conditions (Epistemological Shielding), or recommends prophylactic interventions that never resolved a real risk (Cosmetic Confidence). At renewal the grower has a season-long, claim-level track record per consultant to renegotiate, switch, or drop. Advisories are prose with severable premises and conditional clauses — the exact linguistic shape AE's six-pattern autopsy taxonomy was built for — and outcomes resolve inside AE's weekly grading loop.
Why did we consider it?
AE turns unauditable hedged agronomy prose into a season-long, claim-graded consultant scorecard — landing at renewal time with growers already squeezed by input costs.
What breaks?
- Data-entry friction: Margin-crushed ops teams lack the bandwidth to manually log complex advisory prose and digitize subjective crop-walk outcomes.
- Supplier leverage: The UK agronomy market is consolidated; exposing and antagonizing the few available specialists risks growers losing critical compliance support.
- Sector insolvency: UK horticulture is facing a 'PO funding cliff edge' and severe margin squeeze, eliminating budget and appetite for unproven meta-analytical software.
What did we learn?
Engine verdict: KILL (SKIP). Wrong buyer, wrong domain for AE's strengths, wrong distribution shape for an introverted solo founder — three independent failures.
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: 9.5 / 15. Graduation threshold: 9.0. IQR across runs: 0.0.
Evidence
Signal B — Competitor with documented gap
FAST LLP (Fruit Advisory Services Team) provides independent professional advice and technical support for soft fruit growers, but operates as a traditional advisory consultancy delivering written recommendations — there is no indication of a structured outcome-tracking ledger, claim-level grading, or systematic accountability scoring of advisory accuracy over a season.
Signal D — Demand proxy
{"found":true,"summary":"Multiple sources confirm the UK soft fruit and glasshouse sector faces rising production costs, pesticide regulatory pressure, and reliance on advisory services, indicating an environment where growers would benefit from better accountability tools for their consultants.","sources":["https://www.freshplaza.com/north-america/article/9817677/uk-growers-warn-pesticide-alignment-could-cut-soft-fruit-output/","https://www.soilassociation.org/media/27380/homegrown.pdf","https://horticulture.ahdb.org.uk/knowledge-library/understanding-energy-influences-for-uk-soft-fruit-produ…
Evaluation history
| When | Stage | Phase |
|---|
| 2026-05-14 19:34 | deep_council_verdict | graduated |
| 2026-05-14 19:33 | deep_claude_take | graduated |
| 2026-05-14 19:31 | deep_90day_plan | graduated |
| 2026-05-14 19:29 | deep_risk | graduated |
| 2026-05-14 19:27 | deep_distribution | graduated |
| 2026-05-14 19:26 | deep_pricing | graduated |
| 2026-05-14 19:24 | deep_moat | graduated |
| 2026-05-14 19:23 | deep_buyer_sim | graduated |
| 2026-05-14 19:21 | deep_icp | graduated |
| 2026-05-14 19:19 | deep_competitor | graduated |
| 2026-05-14 19:18 | deep_market_reality | graduated |
| 2026-05-14 19:12 | filter_score | scored |
| 2026-05-14 19:06 | filter_score | scored |
| 2026-05-14 19:00 | filter_score | scored |
| 2026-05-14 18:54 | filter_score | scored |
| 2026-05-14 18:48 | filter_score | scored |
| 2026-05-14 18:42 | evidence_search | evidence_hunt |
| 2026-05-14 18:36 | evidence_search | evidence_hunt |
| 2026-05-14 18:31 | evidence_search | evidence_hunt |
| 2026-05-14 18:25 | evidence_search | evidence_hunt |
| 2026-05-14 18:18 | evidence_search | evidence_hunt |
| 2026-05-14 18:13 | evidence_search | argument |
| 2026-05-14 18:06 | audience_simulation | argument |
| 2026-05-14 18:00 | red_team_kill | argument |
| 2026-05-14 17:54 | steelman | argument |
| 2026-05-14 17:51 | genesis | argument |