Author
Antoine Buteau

Antoine Buteau

3 min read Free

Legibility and Illegibility for Operators Series #3: When to Make Work More Legible

Some work should be made more legible immediately. Operators should not use the value of illegibility as an excuse for fog. Many organizations are not suffering from too much visibility. They are suffering from unclear ownership, hidden dependencies, ambiguous decisions, buried risks, and commitments nobody can inspect. Legibility is essential
3 min read Free

Legibility and Illegibility for Operators Series #2: Legibility Is Translation, Not Exposure

Most organizations confuse legibility with exposure. Exposure says: show me everything. Translation says: show me the right abstraction for the decision we need to make. That difference sounds subtle until you run a real operating system. Exposure produces screenshots, raw trackers, exhaustive notes, meeting recordings, Slack exports, CRM fields, metric
3 min read Free

Legibility and Illegibility for Operators Series #1: The Operator’s Legibility Problem

There is a management reflex that sounds responsible and often becomes dangerous: make the work more visible. Sometimes that is exactly right. Hidden blockers should be surfaced. Decision rights should be clarified. Risks should not depend on gossip. Teams should not need to read executive body language to know what
2 min read Free

AI-Native GTM Series #10: The AI-Native GTM Audit

An AI-native GTM audit should test whether the revenue system learns better, not whether the team owns enough AI tools. Tool adoption is easy to count. Learning quality is harder. A team can have AI call summaries, AI scoring, AI account research, AI outreach, AI content, AI forecasting, and
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AI-Native GTM Series #9: Bounded Agentic GTM Workflows

Agentic GTM workflows should be bounded workers inside a revenue system, not autonomous revenue executives. The agent language tempts people to imagine AI sellers, AI marketers, AI SDRs, and AI CS reps running independently. That framing is mostly dangerous. Revenue work touches buyer trust, pricing, commitments, legal claims, security promises,
2 min read Free

AI-Native GTM Series #8: The AI-Native Revenue Operating Model

AI-native GTM is an org-design problem before it is a tooling problem. If every function buys AI in isolation, the company becomes faster at being fragmented. Marketing generates more campaign assets. Sales generates more outreach and summaries. CS generates more health notes. RevOps generates more dashboards. Product marketing
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AI-Native GTM Series #7: Pipeline Inspection in the Age of AI Theater

AI can make pipeline inspection sharper. It can also make pipeline theater harder to detect. That is because AI makes the artifacts around a deal look better. Call summaries become cleaner. Follow-ups become more professional. Mutual action plans become more complete. Qualification fields get filled. Manager updates sound structured.
2 min read Free

AI-Native GTM Series #6: Personalization Without Relevance Is Spam

AI can make personalization more specific and less relevant at the same time. That is the trap. A message can mention a prospect’s podcast, recent hiring plan, funding announcement, tech stack, LinkedIn post, and alma mater while still having no reason to exist. Specificity proves the machine found details.

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