#Ai Workflows
Articles about Ai Workflows: practical guides, analysis and case studies with their market context clearly identified.
Build an evaluation set for AI marketing copy
Evaluate AI copy with fixed briefs, anchored scoring and factual-failure rules, then record disagreement and coverage instead of relying on a vague quality score.
Teach an AI draft workflow to preserve missing information
Separate supplied facts, permitted inferences and unknowns in an AI draft, with clear rules for drafting, rejecting and requesting missing business information.
Set a cumulative spend cap for an AI workflow
Design a fail-closed AI spend ledger with atomic reservations, concurrent-request fixtures, settlement and explicit handling of unknown provider outcomes.
Retry a marketing automation without duplicate actions
Use a stable idempotency key and durable operation state to retry after a lost response without creating duplicate records or notifications.
Compare AI models with a blind marketing task review
Compare AI models using equal briefs, hidden model labels, declared acceptance rules and a complete cost and latency record for the tested workflow.
Measure AI cost per accepted draft
Calculate the cost of accepted AI work by including failed attempts, review time and repairs, using a transparent illustrative job ledger.
Define human approval before AI-generated publishing
Separate draft creation, content approval and publication permission with version-specific evidence and a testable state transition record.
Treat source documents as data in an AI workflow
Keep source-document instructions outside an AI workflow’s authority, review provenance and test a hostile document fixture before trusting extracted claims.
Validate structured AI output before using it
Validate a nested AI campaign brief with schema and semantic checks, using valid and invalid fixtures and an explicit rejection path before downstream use.
Verify citations in an AI research draft
Check AI citations for URL availability, original provenance, passage support and current relevance, using a claim-by-claim acceptance worksheet.