Controlled and time-bounded.
- Runs before a model decision
- Uses approved, representative cases
- Compares a named baseline and candidate
- Ends with a recommendation and next action
How it works
The assessment is a controlled comparison before a decision. It keeps the baseline, candidate, cases, measures, failures, and limitations connected from scope to recommendation.
Inputs
The public contact form asks only for high-level facts. Cases, access, and sensitive details are reviewed after fit is confirmed.
What are you considering, who owns the choice, and when does the answer matter?
Which provider, model, endpoint, prompt, settings, gateway, and recovery path represent today?
Which exact change is proposed, and which differences are intentional?
Which safe examples represent the work, and what must or must not happen?
What data, provider access, budget, timing, review, and retention boundaries apply?
Method
Each step produces a reviewable output and narrows what the final recommendation is allowed to claim.
Name the current path, proposed change, decision owner, deadline, required outcomes, and blocking risks.
Select up to 10 representative examples with expected behaviour and the least sensitive useful input.
Agree what stays constant, what intentionally changes, how results are repeated, and how each measure is defined.
Execute both options, preserve failures and retries, and review aggregate and case-level differences together.
Separate observations from interpretation, state confidence and limits, then recommend change, stay, investigate, or mitigate.
Fairness controls
The method holds decision inputs steady and records any difference that could affect interpretation.
| Control | Held steady | Documented exception |
|---|---|---|
| Cases | The same reviewed case set and input facts | A case is excluded only for a documented incompatibility. |
| Instructions | Equivalent system instructions, context, tools, and response contract | A provider-specific format change is recorded. |
| Configuration | Comparable sampling, output, timeout, and retry settings | A non-equivalent provider setting is treated as part of the candidate. |
| Repetition | The same planned repetitions and stop conditions | Unexpected provider limits remain visible as results. |
| Quality | The same required, prohibited, and reviewer criteria | A check changes only through an approved method revision. |
| Cost and timing | The same measurement boundaries and stated price basis | Customer-supplied commercial terms are labelled separately. |
Evaluation versus monitoring
The two practices use related measures but support different claims and timelines.
Up to 10 cases can support a bounded decision. They do not replace production monitoring, load testing, incident response, or a regional reliability study.
From evidence to recommendation
A decision owner should be able to distinguish what happened from what the team should do about it.
Responses, timing, errors, retries, usage, and case-level outcomes.
Defined checks and calculations applied to the preserved observations.
Why an improvement, regression, failure, or unknown matters to the product decision.
Change, stay, investigate, or mitigate—with confidence, conditions, owner, and next step.
Provider and data boundary
Credentials and sensitive case material never belong in the public contact form, browser storage, report body, or source code.
High-level fit information comes first; no secrets are needed for an initial discussion.
Any provider access is scoped to the agreed assessment and stays server-side.
It excludes credentials, customer records, and unnecessary internal identifiers.
Loometry Model Change Assessment
Share the baseline, candidate, decision, and timing at a high level. We will confirm fit, scope, access needs, delivery timing, and the fixed project quote before work begins.