Pulse is an AI-assisted audit tool. It analyses your project code systematically, applies a documented scoring model, and produces structured documents. This page explains every step — what the score means, how the budget is calculated, and where our estimates can be wrong.
Your project is analysed by two independent AI agents running in parallel. Each agent is a specialist — it only looks at its own domain and finds concrete issues with file references and severity levels. A third agent then takes all issues and produces a prioritised action plan.
Code quality and handover readiness are intentionally out of scope. We focus on what can break, expose user data, or cause the app to go down — because those are the issues that matter before you scale or hand off.
Every issue is assessed for how easy it is to fix — specifically, whether it can be fixed directly in Lovable with a prompt, or whether it requires a developer.
The green impact percentage tells you how much of your critical risk you can eliminate yourself, today, without a developer. It is calculated deterministically — no AI involved.
This score is purely mathematical — it reflects the relative severity of what you can fix yourself versus what requires professional help. A high green impact means most of your risk is self-serviceable. A low score means the structural issues are the heaviest ones.
For every 🔴 issue that requires a developer, Pulse estimates the number of days and the developer profile needed. The cost is then calculated deterministically — no AI guesswork.
The day rates above are 2024–2025 market averages for senior freelancers or mid-market agencies in Western Europe. Your actual cost will depend on who you hire and where they are based.
| Profile | Adjustment | Typical context |
|---|---|---|
| Western Europe (France, Germany, Netherlands) | Reference | Our baseline — senior freelancer or mid-market studio |
| Eastern Europe (Poland, Romania, Bulgaria) | −20% to −30% | Strong talent pool, increasingly common for remote-first projects |
| Junior or offshore teams | −30% to −50% | Lower cost, but add time for onboarding and quality review |
| Specialised agencies (security, fintech, healthcare) | +30% to +50% | Domain expertise commands a premium |
| Large consultancies (Big 4, Capgemini, etc.) | +60% to +100% | Significant overhead; rarely the right fit for early-stage refactoring |