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Nineteen guides for founders, on running a company with AI in it: what it costs, what it must never see, and who owns the output.
A model is billed by the token, which is roughly three quarters of a word, in and out. That makes AI one of the few software costs that behaves like a raw material: it scales with use, not with seats. Here is how to put a number on it before you commit.
Most data incidents involving AI are not breaches. Somebody pasted something into a free account because it was the fastest way to get the job done, and nobody had ever told them where the line was. Here is where it is, and how to write it down in one page.
Every company reads its tickets one at a time and almost none read them as a body of evidence. The value is in the second reading, and it is the one AI is genuinely good at: not answering the ticket, but telling you what four hundred of them have in common.
Rolling AI into a working team fails in predictable ways, and none of them are technical. They are about ownership, measurement, and what happens the first time the output is wrong in front of a customer. Here is the management side, which is the side that decides whether any of it sticks.
Most SEO advice is written for sites that already rank. On a domain with no history it wastes the only asset you have, which is time. Here is the order that works.
Before you rewrite the copy or cut the price, walk the path a buyer actually walks. This is the audit, in the order the leaks cost you money, with the test for each.
Most AI projects in small companies fail for one reason: they start from the technology instead of a job that costs money today. Here is the filter, and the two-week test.
Paid ads need a working funnel to amplify. Before that exists, ads just buy you a faster no. This is what to do instead, in order, and how to know when to stop.
Building first is the expensive way to learn nobody wanted it. This is a 7-day sequence that costs under $100 and ends in a number you can act on: go, pivot, or drop it.
Website costs run from $500 templates to $500,000 custom builds. The difference is not features, it is quality, scale and risk. Here are realistic prices for each type.
Most founders spend 6+ months building a product nobody wants. An MVP proves your core assumption in 4 weeks and costs 10x less. This walks through the process.
Your tech stack shapes your business. Choose a stack that scales with you, has a large community, and won't be obsolete in two years. This guide walks through the decision framework.
A landing page is a sales pitch. It has one job: get visitors to take an action (sign up, buy, book a call). This guide covers the structure, copy, and design that work.
Web or mobile? Both? Neither? This decision affects your timeline, cost, and reach. This guide helps you choose based on your users and your market.
Your site was great in 2022. Now it looks dated, feels slow, and competitors are eating your share. Should you redesign? This guide helps you decide.
Stripe is the standard for SaaS subscriptions. It's powerful and secure, but the setup has fine details. This guide walks through the essentials and the pitfalls.
MVP is one of the most misused terms in startups. Some think it's a wireframe. Others think it's a demo. This guide clarifies what an MVP actually is and why it matters.
SaaS is a metrics game. You buy customers (CAC), keep them (churn), and grow them (MRR). This covers the 7 numbers every founder tracks, and what each one is telling you.
Building software is expensive either way. This helps you choose between hiring in-house and working with an external studio, and shows what each one really costs.
