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AI workflows

Practical, reviewable ways to put AI into real work without hiding the control points.

18source-linked records

Support operations and service-quality teams

Pilot AI-assisted support triage

Classify incoming support messages while preserving a deterministic escalation path and human ownership.

ReviewedVerified 2026-08-11Open record

Research, strategy, policy, and evidence-review teams

Build a literature evidence map

Create a traceable map of research questions, inclusion decisions, study claims, limitations, and conflicting evidence.

ReviewedVerified 2026-08-11Open record

Brand operations, campaign, and design-production teams

Create and review brand asset variations

Produce channel-specific variations while protecting approved logos, colors, copy, composition rules, and source lineage.

ReviewedVerified 2026-08-11Open record

Commerce, creative operations, and product-content teams

Review an AI-assisted product image edit

Edit a product image while preserving product truth, required details, compositing quality, input rights, and an auditable original.

ReviewedVerified 2026-08-11Open record

Localization, learning, communications, and regional marketing teams

Localize a video with independent review

Adapt script, voice, captions, timing, on-screen text, and cultural context without treating machine translation as final approval.

ReviewedVerified 2026-08-11Open record

Editorial, social, podcast, event, and content-repurposing teams

Turn a long video into reviewed social cuts

Find candidate moments, preserve surrounding meaning, adapt framing and captions, and require contextual approval for every short clip.

ReviewedVerified 2026-08-11Open record

Automation owners, platform teams, security, and business operations

Recover an agent workflow after an incident

Contain a failed automation, reconstruct side effects, correct state, and restart only after an accountable recovery review.

ReviewedVerified 2026-08-11Open record

How to use this index

Start with a task, open the cited sources, then run a dated pilot under your real constraints.

  1. ShortlistUse stable product fit—not popularity—as the first filter.
  2. VerifyCheck current provider documentation, terms, and regional availability.
  3. PilotRecord task inputs, model conditions, failures, and human review effort.
バージョン · v4.3.6-indexnow-delivery-verified

最近の更新

IndexNow 本番受信の検証

新しいキーで本番 IndexNow の受信を検証しました。Microsoft の外部証明、単一 URL の GET と POST はすべて HTTP 200 を返し、50 URL 単位で 386 件の canonical URL を送った 8 バッチもすべて HTTP 200、再試行 0 回でした。2 回目はインベントリに変更がなく、リクエストを送信しませんでした。

IndexNow ルート証明オリジンのプロトコル修正

本番の Bing 検証により、TLS 終端後の内部 rewrite が誤ったプロトコルを使用し、外部ルート証明が HTTP 500 を返すことが判明しました。本版はその境界を修正しますが、外部証明の HTTP 200、自動送信、後続 canary の HTTP 200、冪等な再実行が実測されるまでは検証成功とは扱いません。

IndexNow ルート証明リクエストの互換性修正

v4.3.3 の公開後、ルート直下の正確な {key}.txt 証明は HTTP 200 を返しましたが、keyLocation を含む全件リクエストは引き続き HTTP 403 を返しました。同じ本番キーで keyLocation を省いたホームページだけの最小リクエストは HTTP 202 を返しました。本版ではこのフィールドを省略し、自動全件送信と冪等な再実行を引き続きデプロイ時に検証します。

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