SimplestWins
THE DECISION WORKSPACEOur evidence standard

Make the case before the model

Complexity
must earn
its place.

Does your idea need AI, or just a notification, template, lookup, or formula? Define the job, examine the simplest alternative, and test whether extra complexity earns its place.

Browse evidence without an account. Assessments are reasoning, not measurements of your system.

IMPLEMENTATION / EXPLODED VIEW
Deterministic / complexity layer 01

Explicit conditions. Repeatable behavior. Start here when the work can be stated precisely.

Conceptual complexity order. Height is not a performance score.

Automation is not the same as AI

“Email a parent when their child passes.”

If the result is already recorded, the workflow is straightforward:

Approved result → check status → fill an email template → queue delivery.

No new prediction is needed. If the task also includes judging an essay, assess that step separately. SimplestWins evaluates this distinction; it does not send messages or decide a child's result.

Try this decision without AI →

Illustrative workflow. Test duplicate events, missing contacts, changed results and delivery failures before use.

The experiment, opened up

A claim is cheap.
An experiment
has receipts.

Same task. Same evaluation set. Explicit floors. Open the comparison and change the requirements yourself.

Inspect this experiment ↗
Inside the benchmarkMeasured comparison

Does spam filtering need an LLM?

↗

Required: ≥95% accuracy · ≤100ms

01
Rules90.00% accuracy · 0.003ms · Measured
Below accuracy bar
02
Traditional ML99.17% accuracy · 0.276ms · Measured
Clears accuracy bar
03
GPT OSS 20B86.67% accuracy · 252.131ms · Measured
Below accuracy bar
04
GPT OSS 120B94.17% accuracy · 353.393ms · Measured
Below accuracy bar
Chance 50.00%Majority 87.50%Train/test overlap 0.00%

Published sms-spam snapshot · 120 evaluated examples. Describes this corpus, not your traffic.

01 / FRAMEWhat job needs doing?

Define the outcome and the current alternative.

02 / TESTWhat actually clears the bar?

Compare methods under the same requirements.

03 / CHALLENGEWhat could the average hide?

Inspect missing evidence and uneven errors.

Built to be challenged

A decision you can interrogate.

A model can help structure your description. It cannot choose the verdict. Published rules connect your requirements to the answer, and incomplete benchmarks stay incomplete.

Read the methodology →