Practical articles on building SaaS products and custom apps with AI agents, what they really cost to run, and how small businesses ship software without a dev team.
When agents can build anything in a week, the constraint stops being code and becomes launch surface: everything you must explain, support and keep alive after launch.
A worked example for a physiotherapy clinic: the brief in plain words, the data model in one table, the pages, deposits and reminders, running costs and a two-week launch.
Environments, deploys, TLS, backups, monitoring and cost control: who does them when there is no DevOps engineer, what AWS charges, and when you need to hire anyway.
The seven parts of a payments setup, the order to build them, how AI app builders handle Stripe, Stripe's fees, and the tests to run before you take a real card.
Ownership, export and lock-in across six AI and no-code builders: who puts the code in your GitHub repository, what export really means, and what to ask first.
v0 generates a polished interface in minutes and Vercel ships it. A product also needs a backend, billing and operations. An honest comparison with public prices.
Eight AI app builders for startups compared honestly: what each does, public entry prices with sources, where each leads and who should pick which. Orkosi included as one option.
Bubble is a visual editor on its own runtime with no code export. Orkosi generates real code in your repository, built and maintained by agents. The honest trade-offs, with sourced prices.
Replit is a cloud workspace with an agent, hosting and a managed database. Orkosi runs agents on a task board with a review gate and ships the business layer. A sourced comparison.
Bolt.new builds a site or app from one chat with hosting, a database and Stripe wired in. Orkosi adds agents that keep working through tasks and a review gate. A sourced comparison.
Lovable turns a prompt into a web app fast. Orkosi builds, reviews, deploys and keeps working on a product through tasks. An honest comparison with sourced prices.
A plain definition of an AI software factory, the six-stage pipeline from brief to tasks after launch, how it differs from chat generators and IDE agents, and its limits.
Speed, cost, ownership, quality control and the things agents still cannot do: an honest comparison of AI agents against a human developer for a founder's first app.
Every cost line for an AI-built SaaS in 2026: tool subscriptions with sources, AWS hosting, Stripe, domain and email, plus an honest table against freelancers and agencies.
A four-week plan to build and launch a SaaS MVP with AI agents: what to specify, what to cut, how payments and accounts fit in, and how to validate with ten users.
Three routes to a working web app with no code: a visual builder, an AI generator or an AI agent team. What each costs in time and money, and when to pick which.
No-code builders, AI agents or a freelancer? A practical, honest guide to shipping a paid SaaS product in 2026 without writing code, with real costs and trade-offs.
A line-by-line breakdown of what a small SaaS actually costs on AWS in 2026, with a realistic monthly bill, scaling milestones and the hidden charges that ambush bootstrappers.
A website tells; an app does. What clinics, gyms, restaurants, salons and contractors gain from a custom app, and what it really costs to build one in 2026.