GATE 01
Choose one operating decision
Each guide starts with a concrete query, queue, handoff, staffing pressure, or control question. It should help a reader decide what to map, test, buy, build, or keep human.
Public methodology
The goal is not to publish the largest list of AI tools. It is to show the work, the system boundary, the human decision, the controls, and the evidence a team needs before it trusts more volume to a workflow.
Method version 1.1 · 2026-07-14
Current scope: the Insights library is editorial synthesis of workflow patterns and implementation constraints. Its public control references provide context for control design. They are not proof of a specific deployment, legal advice, automatic compliance, or measured customer outcomes. Three current flagship guides publish versioned templates, synthetic fixtures, or one archived intake prototype with explicit limitations.
The editorial contract
GATE 01
Each guide starts with a concrete query, queue, handoff, staffing pressure, or control question. It should help a reader decide what to map, test, buy, build, or keep human.
GATE 02
The draft identifies intake, source systems, repeated preparation, coordination, judgment, exceptions, approvals, and the final system of record.
GATE 03
The implementation sequence names the system responsibility, human responsibility, evidence retained, access boundary, failure path, and rollback need at every stage.
GATE 04
The scorecard covers throughput, cycle time, backlog, rework, exception load, review quality, service, and cost. An estimate is not presented as an observed customer result.
GATE 05
Primary and official sources are preferred. Broad control references support control design context. They do not prove a specific deployment, legal conclusion, compliance status, or business result.
GATE 06
The page shows its publication and update dates, related guidance, source links, and a direct correction link for factual or sourcing problems.
Official documentation, government material, standards bodies, and primary vendor documentation are preferred. A source should sit near the claim it supports. Repeated broad references are context, not article-specific proof.
Templates, synthetic fixtures, observed product output, observed benchmarks, vendor claims, and editorial recommendations are different evidence classes. WhichAI does not turn a model into a customer result or a tool choice into a compliance guarantee.
AI-assisted drafting, structuring, and consistency checks may be used. Publication responsibility stays with WhichAI. AI assistance does not create independent evidence or remove the need to verify material claims.
Articles are published by WhichAI, and publication responsibility belongs to WhichAI. The named founder owns the product standard, but this page does not claim he personally reviewed every line of all 100 articles. Named review should be added only after it occurs.
Corrections
To report a factual, sourcing, safety, attribution, or freshness problem, email team.whichai@gmail.com. Include the page URL, the exact statement, why it is wrong or unclear, and the strongest primary source available. Material corrections should update the visible date and the underlying source.
Next standard
Original evidence should be reproducible.
WhichAI now publishes the frozen task and blank rubric for a chatbot comparison, but the test has not been run. A result may be published only with complete raw outputs, system versions, evaluator identity, dates, citations, wins, losses, and limitations. Until then, no winner exists.
Browse the current field guidesPublic changelog
2026-07-14 · v1.1
Added evidence classes, three versioned week-one flagship packs, explicit limitations, route-specific material dates, and trust-surface quarantine rules.
2026-07-13 · v1.0
Published the editorial gates, source boundaries, AI-assistance disclosure, human accountability statement, and correction path.