Issue Framework 001 / Evaluation method
Small Model Review
Less model worship. More useful systems.
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Evaluation Methods
Open Weights Are Not a Local Deployment Plan
An open-weight file becomes a responsible local system only after its memory, terms, runtime, and data boundaries are documented.
Published September 4, 20266 min readSmall Model Review Editorial · a Recollective channel
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Evaluation Methods
Quantization Needs Three Scoreboards
Smaller weights can free memory, but a trustworthy choice requires separate evidence for resources, latency, and the task itself.
September 4, 2026 · 5 min read03Workflow Tests
The Escalation Cascade Needs a Ledger
A small model is useful only when the router knows what it may accept, when to escalate, and what a human still must review.
September 4, 2026 · 7 min read04Review Framework
Smaller Models, Better Questions: A Review Framework for Everyday AI Work
The useful question is rarely “Which model wins?” It is what level of capability, oversight, and cost this job requires.
August 29, 2026 · 7 minute frameworkEditorial purpose
An evaluation desk for studying models as parts of a complete workflow. We care about task fit, review burden, operating cost, and the shape of failure more than leaderboard mythology.
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Task fit
Representative work is tested before a tool is praised for general capability.
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Review burden
A fast draft can be expensive if plausible mistakes demand line-by-line reconstruction.
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Failure shape
Obvious failures are often safer than polished errors that slip through review.