LinkedIn Autoposter

Researches one timely topic, writes a post in two languages on a schedule, and publishes it to a company page.

Publishing under a brand name raises the bar on accuracy, not on volume.

Two posts a week on a company page, one in Spanish, one in English, plus a daily comment on a live discussion in the field. It researches the topic first rather than generating opinion from nothing.

How it is built

Research, then draft, then publish, then log. The research step is non-negotiable: the AI agent has to find something that actually happened recently before it is allowed to write. That constraint alone removes most of the generic-thought-leadership failure mode.

Comments are harder than posts. A post is a monologue; a comment has to respond to a specific argument someone made, or it reads as spam.

What it got wrong

It saved twice against a stale page. The editor only accepts one save per page load. A second edit against the same loaded page silently did nothing, and the AI agent reported success. Every edit now reloads first.

The lesson

The risk of autonomous publishing is not embarrassment, it is dilution. Posting twice a week with nothing to say is worse for a brand than posting nothing. The AI agent’s most important behaviour is declining to post.