Field notes

Practical guides on getting real work done with AI — from the team behind CatchCase.

• Rental applications that get noticed — Practical tips for Australian rental applications — the documents to prepare, what property managers check, how to write a cover letter, and your rights.
• How to respond to negative Google reviews — How small businesses should reply to negative Google reviews — what to say, what never to say, worked examples, and how to handle reviews that seem fake.
• Excel formulas from plain English — How to use AI to write Excel and Google Sheets formulas you can trust — describe your data, test the result and avoid the mistakes behind wrong totals.
• A cover letter that doesn't sound like AI — Recruiters spot AI cover letters in seconds. Here is why they all sound the same, and a method to use AI for the draft while the letter still sounds like you.
• The STAR method, with real answers — How to answer behavioural interview questions with the STAR method, with full example answers, likely follow-up questions and how to prepare your stories.
• Key selection criteria examples that work — How to address key selection criteria for Australian public sector jobs with STAR, with three worked examples and the mistakes that cost interviews.
• How to get answers you can trust from your own documents — Attach a contract, a report or a spreadsheet and ask about it. Five habits that turn "chat with a PDF" from a party trick into something you can rely on at work.
• From a one-off prompt to a workflow your team reuses — Why every case on CatchCase has placeholders, steps and a result you can run — and how to turn your own best prompt into one.
• Mastering prompt engineering: a developer's guide — Structure your prompts with context, constraints, examples and explicit reasoning to get predictable, high-quality results from LLMs in software.