Guides for AI builders and risk professionals
Practical articles, checklists, and build-in-public case studies. Clear navigation between builder and risk topics.
From AI Prototype to Public Beta: Launch Checklist
A practical public-beta launch checklist for AI MVPs: product proof, trust, cost caps, support readiness, launch communications, and day-of monitoring.
10 min read · 2026-03-10
Build an AI App Without a Development Team
What solo builders can realistically ship with Cursor and modern SaaS backends — and the hard limits where you still need specialised help.
12 min read · 2026-03-08
Supabase vs Firebase for AI SaaS Projects
A balanced comparison of Supabase and Firebase for AI SaaS MVPs: data models, auth, security rules, local DX with Cursor, pricing posture, and when to pick each.
12 min read · 2026-03-06
AI SaaS Production Readiness Checklist
An actionable production readiness checklist for AI SaaS MVPs spanning product, security, AI paths, cost, privacy, reliability, analytics, growth, and legal basics.
11 min read · 2026-03-04
How I Control AI Costs Before Launching to Real Users
Build-in-public case study on metering, caps, model routing, and kill switches I put in place before strangers can spend my API budget — with placeholders for real numbers.
4 min read · 2026-03-04
How to Take an AI MVP From Prototype to Production
A pragmatic bridge from AI demo to production SaaS: harden auth and AI paths, add observability, cost caps, privacy posture, and a controlled beta.
13 min read · 2026-03-01
I Built Multiple AI MVPs — My Biggest Mistakes
Build-in-public reflection on repeating mistakes across AI MVPs: fuzzy jobs-to-be-done, chat-shaped products, late cost controls, weak evals, and premature distribution.
3 min read · 2026-02-28
How to Reduce OpenAI API Costs Without Ruining Your User Experience
Practical levers to cut OpenAI spend — model choice, prompt shape, caching, caps, routing — while keeping the product feeling fast and reliable.
12 min read · 2026-02-26
How Much Does It Cost to Run an AI App?
Break down AI app run costs: model tokens, infrastructure, auth/data, and support overhead — plus how to estimate monthly spend before launch.
13 min read · 2026-02-22
Cursor + Supabase + Vercel: A Practical AI SaaS Stack
Why Next.js, Supabase, and Vercel pair well with Cursor for AI SaaS MVPs — architecture, responsibilities, env vars, and what to avoid.
11 min read · 2026-02-18
I Built an AI Parenting Copilot with Cursor — What I Learned
Build-in-public case study: scoping an AI parenting copilot with Cursor, the MVP architecture, what worked, cost lessons, and what I would change — with clear placeholders for real metrics.
4 min read · 2026-02-18
Cursor Prompts for Building a Complete SaaS MVP
A sequenced Cursor prompt playbook for an AI SaaS MVP: scaffold, auth, schema, AI integration, rate limits, cost control, analytics, and launch readiness.
12 min read · 2026-02-14
How to Build an AI SaaS MVP with Cursor: Step-by-Step Guide
A practical path from idea to public beta: scope an AI SaaS MVP, stack it on Next.js + Supabase + Vercel, drive Cursor sessions, wire AI safely, and control cost.
14 min read · 2026-02-10