How to Write a Website Development Brief
Define your audience, pages, content, integrations and launch criteria before asking a developer for a website quotation.
From the first website brief to a useful AI workflow. Practical guides for people turning ideas into something real.
Define your audience, pages, content, integrations and launch criteria before asking a developer for a website quotation.
Choose between a content website and a web application by examining user accounts, workflows, data and operating responsibilities.
Test the journeys that matter on narrow screens, keyboards and real devices before launching a business website.
Find slow images, unnecessary scripts and delayed interactions with a focused performance review of your most important pages.
Review crawlable pages, titles, canonical URLs, internal links and sitemap coverage before introducing your website to search engines.
Turn an app idea into one complete user journey, a realistic MVP scope and clear acceptance criteria.
Compare a browser-based app with an installed mobile app using device needs, distribution, offline behaviour and maintenance.
Plan saved drafts, sync states, conflicts and duplicate prevention so users can recover when a mobile connection disappears.
Prepare onboarding, permissions, support, monitoring and a staged release before making an app available to customers.
Understand how connected systems exchange data and what to clarify before linking bookings, payments, CRM or shipment tracking.
Understand where API secrets belong and how a server endpoint can protect credentials while controlling public requests.
Compare event notifications and scheduled checks for shipment, booking and payment integrations, including recovery and duplicate handling.
Design timeouts, retries, idempotency and useful error messages so an interrupted request does not become a lost or duplicated transaction.
Use a structured conversation to clarify audience, scope and unanswered questions before turning an idea into a development project.
Understand the difference between using an AI assistant yourself and building an AI feature into your own website.
Give an AI assistant context, boundaries and a clear output format for useful drafts, summaries and planning work.
Check requirements, permissions, secrets, dependencies and failure cases before accepting code suggested by ChatGPT or another coding assistant.
Turn scattered notes into a requirement register while keeping assumptions, contradictions and decisions visible.
Review long business documents with targeted questions, source references and a human verification step.
Break a development task into assumptions, small changes and verification steps before allowing an AI assistant to alter a project.
Compare AI output against a repeatable test set before choosing a model or adopting an automated process.
Select a small, measurable AI pilot by balancing repetition, available data, review effort and the consequences of mistakes.
Distinguish predictable business rules from tasks requiring interpretation before giving software access to tools and actions.
Understand retrieval-augmented generation and the data, permission and evaluation work behind a useful internal knowledge assistant.
Build a cost model covering requests, input size, output, retries, hosting and human review without relying on a fixed model price.