Build with AI
Build AI apps, automate workflows, reduce API costs, and launch MVPs — with practical guides and tools.
Start with a tool
Validate, estimate, and plan before you write production code.
AI MVP Idea Validator
Score an AI SaaS idea across market need, AI suitability, monetisation, competition, and build complexity.
AI SaaS Cost Calculator
Estimate monthly AI and infrastructure costs from usage assumptions, with scale projections and optimisation tips.
AI PRD Generator
Turn a product idea into a structured MVP PRD and Cursor build prompt.
Cursor prompts
Implementation-ready prompts for common SaaS milestones.
Add Analytics
Cursor prompt to add privacy-conscious product analytics for an AI SaaS MVP — signup, activation, and generation events that actually inform decisions.
Add OpenAI API Integration
Cursor prompt to add a secure, typed OpenAI integration in Next.js — server-only keys, structured outputs, and persisted runs.
Add Rate Limiting
Cursor prompt to add practical rate limiting to AI and auth routes on Vercel/Next.js before public traffic hits your OpenAI bill.
Add Supabase Authentication
Cursor prompt to add production-ready Supabase Auth to a Next.js App Router app — cookies, middleware, and protected routes.
Guides
Step-by-step articles for shipping AI products.
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.
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.
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.
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.
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.
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.