Understand the landscape
A clear account of large language models, what they can and cannot do, how major tools differ, and which developments matter to publishing. No technical background is required.
Regarding artificial intelligence
RE AI
Clear judgment about powerful, imperfect tools.
Writers and publishers need more than enthusiasm or alarm. They need enough practical understanding to decide what serves the work, what puts it at risk, and where human responsibility must remain visible.
The purpose
Use the technology without surrendering the reason you make books.
RE AI provides plain-language coaching, instruction, and organisational guidance. It is designed for individual writers, independent publishers, literary organisations, and teams across editorial, marketing, rights, production, and leadership.
What the training covers
From understanding to responsible practice.
Examine risks and opportunities
Copyright and licensing, editorial integrity, author relationships, privacy, data governance, labour, competitive pressure, and regulation. The aim is to see both useful applications and real costs before acting.
Set strategy and boundaries
Identify high-value uses, decide what must remain human, develop plain-language policy, assess tools, and assign responsibility. Strategy begins with the organisation's purpose, not the tool's feature list.
Work with the tools
Participants use selected systems for tasks relevant to their roles, inspect the results, and build a repeatable workflow. The practice is supervised, critical, and grounded in real work rather than spectacle.
Two kinds of work
For writers and authors
Learn how the systems work, protect unpublished material, verify research, preserve your voice, interpret publishing rules, and choose limited uses that support rather than replace your thinking.
Read the integrity guidelinesFor publishers and organisations
Establish a shared vocabulary, identify credible use cases, assess copyright and data risks, set internal policy, communicate with authors, and give staff a structured way to test tools before adopting them.
What you leave with
A decision, a boundary, or a workflow you can explain.
Each engagement is built around the participants' actual roles and questions. The result may be an individual practice, a team exercise, a use-case map, a draft policy, or a tested workflow. It should always leave responsibility with named people.
RE AI provides professional and strategic orientation, not legal advice. Copyright, privacy, employment, disclosure, and regulatory obligations vary by jurisdiction.
Start with the question