RemoteGeek Hub
Turn Your AI Idea Into a Working MVP
Validate your idea, plan the right MVP, and get practical help building it — from architecture and AI integration to launch.
Already building? Explore AI tools, Cursor prompts and practical guides →
How RemoteGeek Can Help
Whether you’re starting with an idea or already have a prototype, get practical help moving toward a focused, buildable AI product.
AI MVP Blueprint
Have an idea but aren’t sure what to build first?
Get help defining:
- MVP scope
- Feature priorities
- Recommended tech stack
- AI architecture
- Cost considerations
- Implementation roadmap
Most popular path
Build Your AI MVP
Ready to turn your idea into something people can actually use?
Get practical implementation help covering:
- Product requirements
- Architecture
- Database
- AI integration
- Core MVP functionality
- Analytics
- Deployment
- Launch preparation
Improve an Existing MVP
Already built a prototype but need help getting it ready for real users?
Get help defining:
- Architecture review
- AI/API cost optimisation
- Security
- Production readiness
- Analytics
- Launch preparation
Practical AI Building, Not AI Hype
RemoteGeek focuses on building the smallest useful product, controlling AI operating costs, validating real user needs, and getting an MVP into users’ hands before adding unnecessary complexity.
Free AI tools
Practical AI tools you can use today
Validate ideas, estimate costs, and generate MVP PRDs without signing up first — then get help when you want to move faster.
Validation
AI MVP Idea Validator
Score an AI SaaS idea across market need, AI suitability, monetisation, competition, and build complexity.
Validate an idea →Cost
AI SaaS Cost Calculator
Estimate monthly AI and infrastructure costs from usage assumptions, with scale projections and optimisation tips.
Estimate costs →Planning
AI PRD Generator
Turn a product idea into a structured MVP PRD and Cursor build prompt.
Generate a PRD →Popular Cursor prompts
Copy-ready prompts for real SaaS work
Auth, schema design, AI integration, cost control, and production readiness.
Growth
Add Analytics
Cursor prompt to add privacy-conscious product analytics for an AI SaaS MVP — signup, activation, and generation events that actually inform decisions.
AI
Add OpenAI API Integration
Cursor prompt to add a secure, typed OpenAI integration in Next.js — server-only keys, structured outputs, and persisted runs.
Production
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.
Backend
Add Supabase Authentication
Cursor prompt to add production-ready Supabase Auth to a Next.js App Router app — cookies, middleware, and protected routes.
Latest guides
Guides for builders shipping AI products
Start with “AI SaaS Production Readiness Checklist”.
production
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
build-ai
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
build-ai
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
production
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
Build in public
Case studies from real experiments
Lessons, cost notes, and process — placeholders marked where metrics are not public.
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.
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.
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.
AI risk resources
Practical technology-risk material
Educational resources for AI governance, vendor risk, IAM, and DORA themes — not legal advice.
AI Risk Assessment Checklist
A practical AI risk assessment checklist covering use case, data, model, privacy, security, oversight, bias, vendors, monitoring, incidents, and business impact.
AI Vendor Risk Assessment Guide
Questions and considerations for assessing AI vendors: governance, data use, training, retention, subprocessors, hosting, security, transparency, resilience, exit, and contracts.
DORA for Technology Professionals
A high-level educational overview of DORA themes for technology professionals: ICT risk, resilience, third-party dependency, testing, and incident learning — not legal advice.
Identity & Access Management Risk Checklist
IAM risk checklist covering joiners, movers, leavers, privileged access, MFA, service accounts, access reviews, segregation of duties, authentication, logging, and third-party access.
RemoteGeek Builder Notes
One practical AI-building, automation, or technology-risk lesson at a time. Secondary to the tools — never required to use free features.
RemoteGeek Builder Notes
One practical lesson each week. No hype.
AI building, automation, and technology-risk notes for professionals and solo builders. Signing up stores your email for follow-up — automated newsletter delivery may be connected later.