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Notes on building, validating, and operating with AI

Short pieces on what we learn building our own SaaS products with artificial intelligence at the center of the operation.

AI-native6 min read

What it means to be an AI-native company (and why that's different from "using AI")

Using AI tools and being an AI-native company are different things. The difference is where AI enters the decision process, not how many tools sit in the stack.

October 5, 2026

Validation7 min read

How to validate a SaaS idea with AI before writing a single line of code

AI does not replace talking to real customers, but it can compress weeks of early research into days, without skipping the step that actually decides whether the idea survives.

October 5, 2026

Automation6 min read

AI agents in internal workflows: where they actually save time

The real payoff from AI agents is not in rare, complex tasks. It is in frequent, well-defined tasks with low risk per individual run.

October 5, 2026

Validation6 min read

Why human validation still matters in AI-driven workflows

The more a process relies on agents, the more critical it is to define precisely where a person needs to confirm the result before it moves forward.

October 5, 2026

Product7 min read

Build, validate, operate: the lifecycle of an AI-native SaaS product

Treating building, validating, and operating as three separate phases, rather than a linear sequence where the next one only starts once the last one ends.

October 5, 2026

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