The Archive · 2013 — Now
AI archive.
131 posts in this category
131 essays in the archive · 13 languages · 56 categories
Activation when AI drives media production
When AI drives production, activation shifts from making assets to supervising a pipeline: variants, copy, and adaptations are produced in volume, and review becomes the real constraint. The operator's job becomes setting the guardrails, defining the review standard, and knowing when to stop the machine.
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Reporting as intelligence, not assembly
When AI assembles the report — pulling, joining, formatting, narrating — the analyst's value moves from making the chart to reading it. Reporting becomes intelligence rather than assembly. Here is what the machine takes, what stays human, and how to redesign a report so the meeting is spent on interpretation.
The 90-day rollout for an AI-native media team
A 90-day rollout for an AI-native media team: fix the constraint and make one brief machine-readable in days 1–30, run that stage end to end and build the review standard in days 31–60, measure and decide whether to expand in days 61–90. One stage, one owner, evidence before expansion.
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Earlier entries
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The agency-design decision framework (keep / change / stop selling)
No. 05AII Evaluated 40 AI Podcasts Across 7 Languages. Six Pipeline Fixes Later, Here's What Improved.
No. 06AIDoes AI replace media planners?
No. 07AIHow I Write System Prompts That Actually Get Enforced (After My AI Hosts Said 'Trời ơi' 13 Times)
No. 08AIAI-native agency vs traditional agency
No. 09AIWhat stays in-house vs agency in the AI era
No. 10AIThe One Question That Killed an Entire Curriculum Architecture in a Week
No. 11AIHow many people does an AI-native agency need?
No. 12AIHow to price AI agency services
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