Author
Antoine Buteau

Antoine Buteau

Full-Stack Company Series #5: Distribution Is Part of the Product Now

AI will make software creation easier. It will also make software distribution harder. When more companies can build credible products, the scarce resource shifts toward trust, attention, access, implementation, and adoption. Customers will not evaluate every tool. They will buy through channels they already trust, workflows they already inhabit, and

Full-Stack Company Series #4: Selling Outcomes Changes the Stack

AI pushes many companies toward outcome-based promises. Not "use our tool to improve support productivity." More like "we resolve tier-one support." Not "use our software to find candidates." More like "we deliver qualified interview slots." Not "use our platform

Full-Stack Company Series #3: Proprietary Data Is a Loop, Not a Lake

"We have proprietary data" is one of the most overused phrases in AI strategy. Sometimes it is true. Often it means the company has a large pile of records that are stale, messy, permission-constrained, poorly labeled, disconnected from outcomes, and not actually useful for improving anything. The

Full-Stack Company Series #2: The Workflow Is the Moat

The most common AI strategy mistake is treating the model as the moat. Models matter. Model choice matters. Model routing, cost, latency, and capability all matter. But for most companies, the durable advantage will not be the model itself. It will be the workflow wrapped around it. The workflow is

Full-Stack Company Series #1: The Full-Stack Company Returns

Most companies learned the last software era's lesson too well: stay focused, buy what is not core, integrate lightly, and do not become a services company by accident. That was good advice. It still often is. But AI changes the boundary question. When intelligence becomes part of the

Goals Metrics Dashboards and Reporting Series #10: The Metrics You Track Today vs. The Outcomes That Matter Later

Here's a situation that plays out constantly in operations: a team ships a major feature. Everything looks good. Usage metrics are healthy. The launch is declared a success. Eighteen months later, customer health scores are declining. A year after that, churn starts ticking up. Nobody connects it to

Goals Metrics Dashboards and Reporting Series #9: Beyond the Dashboard: Operational Reviews That Drive Action

A dashboard on a screen is not a meeting. A meeting is a decision-making event. Most operational reviews are dashboards on a screen with no decisions attached. The meeting ends. Action items are captured. Nothing changes. Six weeks later, the same metrics are the same, and the same concerns

Goals Metrics Dashboards and Reporting Series #8: Executive Dashboards vs. Team Dashboards: Same Data, Different Worlds

Dashboard design is the screen-level problem. Audience design is the operating problem: who needs which view, at what grain, to make which decision? A VP of Engineering and an engineering team lead may look at the same system. They should see different things. The VP wants to know: are
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