AI in Comms
This week is about getting clear on the AI you already use, the AI you should use, and the AI you should leave alone. By Friday you will have a short, clear shortlist of the AI tools that fit your work. It is the first piece of your AI Playbook.
This course speaks in a working week: when it says "by Friday", it means by the end of your week on this, at whatever pace is yours.
A note on what makes this course different. The framework underneath it came from doctoral research into how AI is being used in high-stakes communication: a structured review of the published evidence, co-design workshops with practitioners and the audiences they serve, and a synthesis of behavioural, communication, and AI governance scholarship. Most AI-for-comms courses teach tools and prompts. Others teach principles pitched well above your everyday work. This course sits in the operational middle: moves a working communicator can apply on a Wednesday afternoon, with the governance reasoning underneath. What you build here is meant to be defensible, not just usable.
By the end of this week
- You will recognise the AI already in your everyday work, including AI you may not have noticed.
- You will know the five categories of AI tools used in comms, what each does, and how to actually use them.
- You will recognise the three failure modes that show up across all AI tools, and what to do about them.
- You will have a shortlist of three to five AI tools that match your work and your risk profile, with a one-line reason for each.
- You will know what you are not using AI for, and why.
What is in this lesson
The words this week leans on, one plain sentence each. Skip any you already know.
- Artefact
- The one concrete thing you produce this week and keep. Here, it is your AI Tools Shortlist.
- Risk profile
- A few plain sentences describing what makes your work sensitive: who sees it, what data it touches, what rules apply.
- Shortlist
- Your short, chosen list of AI tools that fit your work, each with a one-line reason.
- Failure mode
- A predictable way a tool goes wrong. This week: made-up facts, confidentiality slips, and a flattened voice.
- Composite voice
- The generic, averaged tone AI falls into when it blends everyone, so it sounds like no one in particular.