Antoine Buteau | Strategy, Operations, AI Systems

Popular Series

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AI Systems The AI Control Plane

How companies coordinate agents, context, tools, and human judgment.

Operations Operating Cadence

Management systems, reviews, rhythms, and the machinery of execution.

GTM AI-Native GTM

How go-to-market systems change when workflows become agentic.

Recent Profiles

People worth studying.

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Profile Jul 13, 2026 9 min read

Lessons from Bob Hoffman

Bob Hoffman developed the Hoffman Process as an intensive retreat for unlearning destructive childhood patterns. His work centers on Negative Love: how children absorb painful parental traits to secure affection, and how adults can unwind those inherited behaviors.

Profile Jul 12, 2026 6 min read

Lessons from Jon Taffer

Jon Taffer is a hospitality operator and longtime host of Bar Rescue. His operating philosophy centers on reaction management: deliberately shaping how customers, employees, and owners feel inside a business system to improve accountability, retention, and turnaround outcomes.

Profile Jul 12, 2026 8 min read

Lessons from Jaya Gupta

Jaya Gupta is a partner at Foundation Capital focused on enterprise software and AI infrastructure. Drawing on startup operating experience, she backs technical founders building the picks-and-shovels systems that reshape how companies adopt and use AI.

Research & Deep Dives

Market, company, and research maps.

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Deep Dive Jun 16, 2026 8 min read

Lakehouse Analytics Platforms: Snowflake Databricks ClickHouse and Open Table Formats — Industry Deep Dive

The warehouse-versus-lakehouse framing is becoming less useful. This market map compares Snowflake, Databricks, ClickHouse, and open table formats through the architectural choices and control points that increasingly determine where analytics value accrues.

Research Explainer Jul 14, 2026 7 min read

When the Odds Cannot Be Calculated

When probabilities and outcomes are impossible to predict, most investors flee. Richard Zeckhauser argues this domain of profound ignorance is precisely where the greatest returns are found—if you have the right framework.

Research Library

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Industry maps, company deep dives, papers, reports, and technical shifts worth understanding.

Book Notes

A reference layer from books worth revisiting.

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Book Notes Jun 19, 2026 11 min read

Tape Sucks: Book Summary

The central thesis extracted from the highlights is that formidable company culture and relentless execution are the only truly enduring and sustainable forms of competitive differentiation.

Book Notes Jun 19, 2026 9 min read

The Rational Male - Preventive Medicine: Book Summary

The core thesis revolves around the asymmetry between male and female socio-sexual strategies. Women operate on a dualistic, opportunistic strategy known as hypergamy, attempting to optimize for both genetic fitness and long-term provisioning.

Book Notes Jun 19, 2026 8 min read

Stray Reflections: Book Summary

The fundamental argument extracted from the text posits that modern society operates under a severe misalignment of values, prioritizing relentless external accumulation and digital distraction over internal mastery and human connection.

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Packaged versions of the durable essays and profiles on this site. Daily Digest entries stay out of the paid files.

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Daily Digest

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Digest Jul 15, 2026 6 min read

Daily Digest - 2026-07-14

AI engineering is shifting from standalone autonomous agents toward the infrastructure around them: workflows, context, evaluations, permissions, and state. The practical goal is reliable systems that augment human operators, not autonomy for its own sake.

Digest Jul 14, 2026 7 min read

Daily Digest - 2026-07-13

As AI agents take over more of the inner loop of writing and testing code, engineers must own the outer loop: defining checks, judging outputs, and remaining accountable for what reaches production.

Digest Jul 13, 2026 7 min read

Daily Digest - 2026-07-12

Enterprises risk giving model providers their most valuable knowledge through corrections, context, and prompts. Durable advantage requires private evaluation systems, clear trust boundaries, and ownership of the learning loops that turn activity into institutional memory.

I study how operators, companies, and AI systems actually work.