Privacy & access
Make sure only the right people can see or change sensitive information.
FOR TYPESCRIPT / REACT / NEXT.JS / VERCEL / SUPABASE
Your vibe-coded prototype works. Let’s make it ready for real customers.
A focused 6–8 week programme to prepare your founder-built product for a real customer pilot: safer data, fewer surprises, faster journeys, a more consistent experience, and a practical way to keep shipping.
Check if your prototype fits
Real users expose what demos hide.
Understand what you’ve builtProtect customer dataProve key journeysKeep shipping safely
THE UNCOMFORTABLE BIT
A convincing demo can hide production-sized problems.
Could one customer accidentally or deliberately see another customer’s data?
What does the user see if an AI service stops responding halfway through an important journey?
Would you know why a payment, invitation or report failed, or only hear about it from the customer?
Can you add the next feature without breaking the ten features Claude helped you ship last month?
WHAT GETS LEVELLED UP
A practical pass across everything your pilot will lean on.
We use leading AI models as specialised assistants. The work is still guided by evidence, automatic checks and experienced engineering judgement. Read our guide to making a vibe-coded app production-ready.
Customer data protection
Keep each customer’s information private and separate, even when someone tries to get around the rules.
Fewer surprises
Capture what already works and check every change so useful features do not quietly break.
A faster experience
Find and remove the slow screens, long waits and wasted work that frustrate users and raise costs.
Problems you can see
Make failures easy to spot, explain and fix before they turn into customer complaints.
A clear, consistent product
Make important journeys feel simple, coherent, responsive and usable on every screen.
Safer foundations
Check the software and outside services your product relies on for known risks, outdated parts and fragile assumptions.
Reliable AI, controlled costs
Put sensible limits, checks and recovery paths around AI so it behaves more predictably and does not run up an open-ended bill.
THE 6–8 WEEK PLAYBOOK
Five deliberate moves. No mystery rebuild.
Understand what you’ve built
Follow the important journeys, outside services and customer data to find what is solid, fragile or missing.
Protect what already works
Add automatic checks around today’s useful behaviour before changing the foundations.
Fix real risks first
Focus the work on data protection, privacy, reliability, speed, user experience and the problems most likely to affect a pilot.
Set up your AI delivery harness
We give you the toolbox to supercharge your AI-based feature delivery.
Show it is ready
Rerun the evidence, explain any remaining risks and hand over a product ready for a real customer pilot.
WHY THIS METHOD EXISTS
Built from real product-readiness work, not invented for a brochure.
A recent project began with a product that looked ready. A systematic review uncovered serious gaps in who could see what, separation of customer data, outdated software, data reliability, failure handling and our ability to diagnose problems.
The answer was not a blind rebuild. We first understood what existed, protected working features with automatic checks, then fixed the highest-risk foundations and proved each important change.
ONE RECENT BASELINE
7critical risks found before customers could encounter them
408automatic checks protecting important product behaviour
18complete customer journeys reviewed from start to finish
89%of important server-side code covered by automatic checks
BUILT TO STAY USEFUL
Your product improves. So does the way you keep building it.
The AI harness turns what we learn about your product into a living playbook for Claude Code and other coding tools. It gives them a clear map of your product, agreed ways of working and the checks they must complete for every future feature.
It ships with your product, not as a generic prompt pack or a PDF destined for a drawer.
What lives where, why it matters and which customer journeys must be protected.
Clear standards for planning, building and deciding when a feature is truly finished.
Specialist workflows for planning, privacy, testing, improving and reviewing new work.
Automatic checks and evidence that catch mistakes before customers do.
MOST SUITABLE FOR
Modern web prototypes with momentum.
Working TypeScript prototypes built with React and Next.js, deployed on Vercel, using Supabase or a closely comparable modern web stack.
- The core product already works as a prototype.
- You have enough conviction to plan a real pilot.
- Customers will trust you with identity or meaningful data.
- You want to keep shipping after the engagement.
This is a focused service for getting a working prototype ready for a pilot. It is not a general rescue package for every language, framework or half-finished idea.
WHO WE ARE
Appified Ltd. Expert engineering. Founder-focused.
Appified is a London-based engineering consultancy specialising in modern web and native mobile technologies. We work closely with founders to turn promising prototypes into dependable products that are ready for real customers.
This service brings that practical engineering experience into one focused engagement, leaving you with a stronger product and a better way to keep building it.
THE COMPLETE ENGAGEMENT
£14,900 + VAT
From “it proves a concept” to “it’s ready for real users”
At the end of the engagement, you leave with:
- Three layers of automated testsIndividual components, connected systems and critical user journeys are protected so new features do not quietly break what already works.
- Staging and preview environmentsFully working environments let you test every change safely before it reaches real users.
- Security audit report and engineering attestationA written record of what was checked, what was fixed and any risks that remain.
- Measured performance improvementsBefore-and-after evidence shows where speed, responsiveness and efficiency improved.
- Live product monitoringObservability tools show how the product is being used and help you spot problems quickly.
- Your AI delivery harnessA product map, working rules and automated checks help you keep shipping with greater confidence.
CANDID ANSWERS
Before you hand over your product.
Are you going to rewrite the whole thing?
No. A rewrite is not the default. We preserve good product logic, build a safety net around it and change the parts whose risk or cost justifies the work.
What if my stack is close, but not identical?
That can still be a fit. TypeScript, React and Next.js are the centre of gravity; Vercel, Supabase, Clerk and similar managed services can usually be accommodated after a short technical review.
Does the AI delivery harness replace an engineer?
No. It helps you and your AI tools make better day-to-day decisions, follow the product’s rules and check the work. It raises the standard without pretending that judgement has been automated away.
Can you guarantee there will be no bugs?
No honest service can promise that. The goal is to replace hidden, unmanaged risks with sensible protection, automatic checks, clear warning signs and a realistic plan for the pilot.
FOUNDER SPEED · ENGINEERING DISCIPLINE