RayzentLabs
process

Six stages. None skipped. Each one shorter.

The speed comes from compressing the stages, not removing them. Drafting — scaffolding, boilerplate, first-pass copy, test cases — is generated in minutes and then reviewed exactly as it always was. Discovery, design judgement, architecture and QA still take human time, which is why the gain is 3–4× and not 20×.

process

Six stages, and what actually happens in each.

The speed comes from compressing the stages, not removing them.

01

Brief & discovery

We read whatever exists — notes, a competitor you like, an old site, a spreadsheet — and turn it into a written scope with user stories and edge cases. You approve it before anything else starts.

typical: 2–3 days
02

Interface design

Several visual directions explored quickly, one taken to high fidelity and built into a token-based design system. You get a clickable prototype, not a static image.

typical: 3–5 days
03

Architecture

Data model, integrations, hosting, auth, and where AI sits in the flow. Decided and written down before code, because this is the part that is expensive to change later.

typical: 1–2 days
04

Build

Frontend, backend and AI features developed against a preview link you can open every day. Weekly demo, decisions logged, scope changes priced as they come.

typical: 1–4 weeks
05

Test & review

Automated tests, accessibility pass, performance budget, and evaluation runs for every AI feature against a real example set. Fixes before launch, not after.

typical: 2–4 days
06

Launch & handover

Deploy, monitoring, analytics, a written runbook and a recorded walkthrough. Then 30 days of support included while your team settles in.

typical: 1–2 days
the speed story

Same scope. A fraction of the calendar.

Every task below is real project work. The grey bar is how long it takes a conventional team. The colour bar is how long it takes us with AI in the loop. Nothing is skipped — the review, testing and accessibility steps all still happen.

Discovery & requirements
conventional · 2 wks
rayzentlabs · 2 days
5×
Wireframes & user flows
conventional · 2 wks
rayzentlabs · 2 days
6.7×
High-fidelity UI design
conventional · 3 wks
rayzentlabs · 4 days
4.3×
Design system & components
conventional · 2 wks
rayzentlabs · 2 days
5×
Frontend build
conventional · 4 wks
rayzentlabs · 1.1 wks
3.6×
Backend, database & APIs
conventional · 4 wks
rayzentlabs · 1.2 wks
3.3×
Third-party integrations
conventional · 1.5 wks
rayzentlabs · 2 days
3.8×
Copy & content, 40 pages
conventional · 3 wks
rayzentlabs · 1 day
15×
SEO metadata & schema
conventional · 4 days
rayzentlabs · 1 hr
32×
Localisation, 2 languages
conventional · 1.5 wks
rayzentlabs · 6 hrs
10×
Test suite & QA pass
conventional · 1 wks
rayzentlabs · 4 hrs
10×
Accessibility audit & fixes
conventional · 3 days
rayzentlabs · 5 hrs
4.8×
Deployment pipeline
conventional · 3 days
rayzentlabs · 2 hrs
12×
5.0×average speed-up
104 dayssaved on a typical build
0steps skipped to get there

Benchmarks come from our own delivery logs against pre-AI baselines for comparable scope. Your numbers depend on how clean the brief and the source material are — we will give you the honest range for your project.

ai tools & technologies

Click a stage. See what runs there.

Tools change; the discipline around them is the part we keep.

Research

Competitor and SERP teardowns, requirement drafts from messy client notes, user-story generation, and the edge cases we would otherwise find in week three.

ClaudeChatGPTPerplexity

Model and vendor choices are made per project on cost, latency, data residency and quality — never by default.

See the process on your own project.

A 30-minute demo walks through the six stages against your brief, with a realistic calendar and a rough range. No deck.