Writing and Revision
Practical AI workflows for marketing, customer success, sales, and anyone who writes anything.
Writing is where most people as a teacher will get immediate, tangible value from AI. Drafting emails, polishing documents, repurposing content, responding to customers — all of these can be accelerated significantly with the right approach.
Parent and carer emails
Provide the AI with the parent or carer's concern, relevant background, and the tone you want. Ask it to draft a response. Review, adjust, and send. The following example shows a well-structured prompt for a customer email.
AI in your role as a teacher
The following examples show how different roles on the team are using AI today. Your exact job is probably reflected here.
Customer Success
Drafting accessibility remediation advice for clients — paste in a raw audit finding and ask AI to turn it into a clear, actionable recommendation in plain English. Also useful for summarising long support threads before escalating, and drafting renewal or at-risk emails where tone matters a great deal.
Sales
Turning rough discovery call notes into structured proposals within minutes. Paste your notes, describe the client's key pain points, and ask for a first-draft proposal structure. Also strong for competitive research summaries and preparing talking points before a demo.
Marketing
Generating accessibility blog post outlines, drafting LinkedIn post variations for A/B testing, and repurposing a single piece of content into multiple formats (email, social post, short article). Always add specific Brickfield data points and customer examples that AI cannot know.
Engineering
Explaining Moodle plugin code to non-developer stakeholders, generating docblock comments, and drafting release notes from a git commit list. See the Developers module for a full treatment of coding use cases.
Anyone working with accessibility documentation
Summarising WCAG updates into plain-language summaries for clients, drafting accessibility policy sections, and explaining audit findings to non-technical stakeholders. Always verify WCAG claims against the official W3C documentation — AI can misstate or simplify criteria.
Marketing copy
For LinkedIn posts, blog introductions, and newsletter copy: give the AI your key message, the intended audience, the tone, and a word count. Always add your own voice afterwards — AI gives you a strong starting draft, not a final product.
Revision and improvement
You do not need to generate content from scratch. Paste in your own draft and ask the AI to improve it. The following revision instructions all work well.
- "Make this more concise — aim for half the length."
- "Improve the flow — some sentences feel disconnected."
- "This reads like a template. Make it feel more personal and direct."
- "The third paragraph is unclear. Rewrite it so the main point is in the first sentence."
An effective revision workflow
The following five steps describe how to get consistently good results from AI-assisted writing.
- Write a rough draft yourself first. AI revision of your own words produces better results than pure generation from scratch.
- Paste your draft and tell the AI specifically what to improve: tone, length, clarity, or formality.
- Compare the AI version with yours. Take the best elements from each.
- Make a final edit with your own voice, personal knowledge, and any relationship context the AI cannot know.
- Send. You have saved 20 to 30 minutes and the output is stronger than either version alone.
Keep your voice
AI writing tends toward the generic. Your job is to inject the specific detail, the personal relationship awareness, and the Brickfield brand voice. Use AI for structure and speed; add your own knowledge for substance and authenticity.
Knowledge check
A team member says AI-written emails are obvious and feel fake. What is most likely happening?