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Fourmula.ai
Featured Project
Askflow
Ruben Roubish
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You do not need more features yet.
You need an honest assessment of what you already have.
You need an honest assessment of what you already have.
Once real users arrive, the risks change:
01
Authentication and permissions become critical
02
Payments and customer data must be protected
03
Edge cases start breaking the main workflow
04
Every new feature becomes harder to add
05
AI-generated code becomes difficult to understand
06
Investors or buyers begin asking technical questions
07
Nobody can confidently say whether to continue or rebuild
Fast to build does not mean ready to ship
phases
06
01
1.8× more high
severity findings
severity findings
02
20% packages
may not exist
may not exist
03
70% of vibe-coded projects had no test files
04
45% of reviewed
literature reported
short-term speed gains
literature reported
short-term speed gains
01
1.8× more high
severity findings
severity findings
02
20% packages
may not exist
may not exist
03
70% of vibe-coded projects had no test files
04
45% of reviewed
literature reported
short-term speed gains
literature reported
short-term speed gains
Production requires
more than a working flow.
more than a working flow.
Security, monitoring, backups, deployment, ownership, data protection and failure handling all become part of the product once it goes live.
One audit. Six product
critical perspectives.
01. Product logic
We review whether the product solves a clear problem and whether the core user workflow reflects the intended business model.
02. User experience
We assess whether real users can understand and complete the main actions without founder guidance.
03. Code and architecture
We assess whether the current codebase can support the next product stage.
04. Security and data
We identify visible launch risks around sensitive information and access.
05. QA and production readiness
We assess whether the product can be safely deployed, monitored and changed.
06. Team and delivery readiness
We assess whether the team can continue developing the product safely after the audit.
Our awards and recognitions
You receive a decision—not a list of problems.
We do not recommend rebuilding the whole product by default. The goal is to protect momentum while removing the risks that matter.
Keep
What already works and should remain unchanged.
Fix now
Critical issues that should be resolved before launch, customer onboarding or fundraising.
Refactor next
Areas that can function temporarily but will limit future delivery or scale.
Rebuild (partly)
Components where repairing the current implementation would be slower or riskier than replacing it.
Build later
Features and infrastructure that are unnecessary at the current product stage.
Built with AI? We can review it.
The audit is not limited to one tool.
We review the resulting product and codebase—not the logo used to generate it.
Loveble
Bolt
Replit
Cursor
Claude AI
v0
Firebase Studio
Windsurf
Github copilot
Automated scanner
AI product generation for fashion brands
Reviews code patterns
Produces technical alerts
Sees individual files
Flags everything equally
Cannot evaluate UX
Ends with a report
2026
Fourmula AI
Fourmeta designed and developed Fourmula.ai across product strategy, brand, UX, AI workflows and engineering. That experience allows us to assess whether an AI-built product works as a coherent customer experience—not simply whether the code passes automated checks.
FAQ
What is an AI-built product audit?
Is this only a code audit?
Can you audit an app built with Lovable, Bolt, Replit or Cursor?
What access do you need?
Do you provide penetration testing?
How long does the audit take?
Before you add more features, find out what you are building on.
Free 30-min call to map your goals, tech stack, and timeline
We’ve got your message — and we’re already on it.
Our team is reviewing your request
to ensure a tailored response.
to ensure a tailored response.
Until then, take a look at what we’ve built
with other forward-thinking clients:
See success storieswith other forward-thinking clients:
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