all teardowns

Model Watch, the teardown

What an unwatched model gets wrong

The value of an ML engineer watching your AI in production, for a fraction of the cost of hiring one. Monitoring in your codebase surfaces the hard cases, regressions, drift, model and price changes, to a human expert who acts on them, so your AI stays correct and cheap while the models underneath it keep changing. Below: the same model, same questions, with and without grounding. Spot the inventions yourself.

What you get, month by month

Every month

An eval run on your real traffic with a regression report: what got worse, what got cheaper, what changed upstream. Plus a model and price change review across the providers you use.

On releases

When a model you depend on updates or reprices, re evals run BEFORE you migrate. You switch on evidence, not on release notes.

Always on

Regression alerts when quality or cost drifts past agreed thresholds, with the trace that shows why.

Forwardable as the scope. Monthly retainer, tightly scoped, cancel at term, pricing on request.

Proof, performed live: spot the hallucination

We ran the published showcase questions through the same model with tools disabled and no farm data, then put the answers next to the grounded production answers. The ungrounded text below is tappable: mark the claims you think it invented, then reveal what the database caught. One round is a tie, and we say so.

round 1 of 4

tap the claims you think the ungrounded model invented, then reveal

In Lithuania's nitrate vulnerable zones, what are the autumn and winter date restrictions when spreading nitrogen fertiliser, manure and slurry is banned? Give me the exact prohibited periods.

grounded production answer

measured

Based on Lithuanian NVZ (Nitrate Vulnerable Zone) regulations, last updated 25 April 2026, there is a main closed period that applies to all nitrogen inputs. Mineral nitrogen fertilisers are prohibited from 15 November until 20 March, a span of roughly four months. The same prohibition applies to solid organic manure, which is banned from 15 November until 20 March, and to slurry and liquid manure, which are likewise banned from 15 November until 20 March.

The organic nitrogen cap is a maximum of 170 kg N/ha per year from livestock manure, which is the EU Nitrates Directive limit.

same model, tools disabled, for comparison

Mineral Nitrogen Fertilisers: - Manure and Slurry (organic fertilisers): -

method: same questions, same model, direct API call, tools disabled, no farm data, for comparison. ungrounded answers shown as verbatim excerpts with typography normalized; full captures are committed in the repo. On the farm data question (Q8) the ungrounded model refused outright rather than inventing records; two questions (Q3, Q7) returned empty answers and are excluded.

Why this needs monthly watching

  • Models change under you: per token prices moved roughly 60 to 75 percent across 2025 alone, and top tier API prices now sit near a tenth of their 2023 launch levels.industry benchmark range, not a promise
  • Every model update shifts behavior. The confident wrong dates above are exactly the kind of regression a release can introduce silently; only a standing eval set catches it before production does.
  • Migrations are where the savings live and where the risk lives. We re eval before switching; our own A/B kept a more expensive model on one path because the cheap one misdiagnosed.measured

What this does for your company

Reliability

Invented thresholds and dates like the ones below get caught by evals before a customer acts on them.

measured
Cost

Per token prices moved roughly 60 to 75 percent across 2025; unwatched, you overpay or under migrate.

stated
Focus

Your engineers ship product; the watching, re evaling and migration math is the retainer.

stated

The honest ROI math

An ML engineer on your AI, for a fraction of a single in house hire.

Hire it in house

$150K to $280K

a year for a dedicated ML infrastructure or MLOps engineer, before they have anything to maintain

industry benchmark range, not a promise

Model Watch

a fraction of that

the same expertise watching your system continuously: monthly evals, regression alerts, model and price reviews, and migration re evals. Scoped and cancellable. Ask for pricing.

The benchmark figure is the alternative cost of owning this in house; the retainer is scoped monthly deliverables you can cancel at term. Projections are labeled benchmarks; nothing here is a promise.

Why Wyrum

  • The grounded system in the comparison above is ours, live, with per answer receipts published.measured
  • The eval discipline is demonstrated on this site, not claimed: the tie round is part of the exhibit.
  • The person who built the grounding guards runs your watch.

The guarantee

Tightly scoped monthly deliverables: eval report, regression alerts, migration recommendations. 3 month minimum, cancel at term.

Ask for pricing

No prices on this site. You get a number and a scope in the first reply.