Historical report, 26 September 2026. This reading edition preserves the findings and limits of the original run; it is not current product guidance. Original report, revision
61e75e9aa9a8719dfb480bf1f5226553b3a21d70.
The frozen protocol ran from clean commit
dd8989ba36b8e27ac5762e2e0984cac7f88e8738 with gpt-6-luna at low
reasoning effort. The one synthetic queue-mode reversal in
writer_consumer_baseline.json
(SHA-256 3fd56d975fa6570df6db81a939eea72d51178034a559882a52b1bb753baf522a)
compares raw records against a human-prepared OKF bundle containing the
same answer and evidence ID. The offline Go validation test for that bundle
passed. A fresh consumer invocation received each arm; no AI writer, Go
backfill, or upkeep checker participated. The blinded adapter (SHA-256
8f132bc3d12aeb1ea78d74642156427c1921a35b28d60f12b1296354a0b44ea9)
sent the model the question and arm artifacts without the harness labels or
gold answer.
The saved plan, raw rows, and report
are byte-identical to the original run files in /private/tmp. Reanalysis
reproduces the report byte-for-byte:
GOCACHE=/private/tmp/okf-agent-gocache GOPROXY=off GOSUMDB=off GOTOOLCHAIN=local go run \
./benchmark/agent/cmd/okf-agent-eval analyze \
-corpus benchmark/agent/corpus/writer_consumer_baseline.json \
-plan benchmark/agent/runs/20260926-manual-writer-consumer-v3/plan.json \
-rows benchmark/agent/runs/20260926-manual-writer-consumer-v3/rows.jsonl
Both planned calls completed and the report is valid=true: control 1/1
correct and treatment 1/1 correct. Both consumers answered exactly B and
cited decision. Neither was stale, wrong, ungradable, or a refusal; there
were no operational failures or model tool calls. Thus this case shows a
consumer can answer from the manually prepared bundle, with no measured
quality difference against the raw-record control.
Observed usage was 30,291 input + 52 output = 30,343 tokens across two
calls; 27,136 input tokens were reported as cached and are already included
in input usage. Summed model elapsed time was 11.326 seconds. USD cost was
unavailable, so the report’s zero cost_usd with zero cost_known_trials
does not mean the calls were free.
This one-case, one-repeat synthetic baseline tests independent consumer reading of a valid, human-prepared bundle. It does not measure AI writer quality, the task-010 backfill or task-013 checker, or a general benefit from OKF. Earlier v1/v2 protocol drafts had no model observations and are outside these denominators.