The standard advice for writers trying to build an audience online involves a set of recommendations that are individually defensible and collectively corrosive: post consistently, engage with your community, make your work accessible, optimize your headlines, study what performs. Follow all of it and you will likely grow a following. You will also have spent significant creative energy on activities that pull in the opposite direction from serious writing, and your work will probably show the strain.

Montaigne invented the essay by accident. He was not trying to create a literary form. He was trying to think on the page, using his own experience and reading as the material, with no particular obligation to arrive at a conclusion. The title he gave the project — Essais, attempts — described the method accurately. An attempt is not a proof. It is a provisional movement toward something that may not be reachable.

Rarely has an industry been more unsettled by a technology than publishing has been by generative AI. The conversation is loud, often polarized, and moving fast. Here’s where things actually stand. What writers are using AI for Many authors are already using AI tools as part of their process — not to write books, but to assist with specific tasks: brainstorming when stuck, generating placeholder names, drafting back-cover copy, or outlining potential plot structures.

The word “platform” makes writers uncomfortable. It sounds like a performance — and most writers became writers to avoid performing. Reframe it: a platform is simply the audience of people who already trust you. Agents and publishers want to know that trust exists before they invest in your book. Start before you need it This is the point most writers miss. Building an audience takes time — often years. Waiting until your book is done means launching into silence.