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cat services/websites.md

A fast website that turns visitors into enquiries, and shows up in Google and AI search.

Modern, fast websites designed to win enquiries, with booking, contact forms and an optional AI assistant built in, and set up to be found in Google and AI answers like ChatGPT.

cat who-its-for.md

Businesses whose current site is slow, out of date, hard to edit, or simply not bringing in enquiries.

We build on modern static-site technology, so pages are fast, secure and cheap to host. Our concept law firm site scores 99 for performance and 100 for accessibility on Google Lighthouse, with its AI assistant included.

cat outcomes.md

  • Pages that load fast, even on a phone
  • A clear path from first visit to booked call
  • Found in Google and cited by AI search tools
  • Easy for you to add pages and posts yourself
timeline:
2 to 3 weeks
price:
On request

ls included/

What's included

  1. 01

    Design and build

    A custom design, written content, and responsive pages that work on every screen size.

  2. 02

    Booking and forms

    Calendar booking, enquiry forms and WhatsApp links, sent straight to you.

  3. 03

    SEO and AI-search visibility

    Technical SEO, structured data and content set up so search engines and AI assistants understand your business.

  4. 04

    Optional AI assistant

    A chatbot that answers from your site content and captures leads.

cat work.log

Built and measured

Projects in this area, with the test results and the code public.

Kendot Legal

liveconcept buildLegal

A law firm website with a cited AI assistant for visitors, a private one for lawyers, and paid consultation booking from Google Calendar.

100%
Answer correctness on a 40-question test set
65/65
Citations checked against their source page
100%
Prompt-injection attempts resisted
  • Astro
  • Tailwind
  • FastAPI
  • Claude Haiku 4.5
  • Voyage embeddings
  • Postgres + pgvector

case study →: Kendot Legallive demo ↗code ↗

FlyFit Fashion Store

liveconcept buildRetail and e-commerce

An online fashion store with checkout that can't oversell, payments that survive duplicate webhooks, AI search and a shopping assistant that can't make up a price.

0
Items oversold with 200 buyers racing for 10 units
98.3%
Shopping assistant tasks completed (40 scenarios, 3 runs)
0
Made-up prices shown, audited against the database
  • Python
  • FastAPI
  • Postgres + pgvector
  • Next.js
  • TypeScript
  • Tailwind

case study →: FlyFit Fashion Storelive demo ↗code ↗

ls services/

Often combined with

cat next-step.md

Find out what you could automate

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