Blog topics suggested weekly, based on industry movement and what you are actually credible on.
Editorial calendars run dry around month three. Then the topics get desperate: thin listicles, reheated takes, posts written because the calendar said so.
Good topics sit at the intersection of what the industry is chewing on and what you can say with authority. That intersection moves weekly.
Every week, this routine suggests blog topics drawn from industry trends crossed with your expertise and past writing.
Each suggestion comes with the angle, so you are choosing between good options instead of inventing from a blank page.
Copy this prompt into a new Littlebird routine. Edit the days and times to fit your schedule.
Every Tuesday suggest 5 blog post topics based on what's trending in my industry
You can fake this with a chat skill and enough copy-paste. Most people keep it up for a week, then stop -- because the copy-paste is the actual job.
A routine removes the choreography: the context is already there, the schedule is already set, and the output shows up where you need it.
And it is private by design: SOC 2, GDPR and CCPA aligned, running on your Mac.
From your own writing and work context. Suggestions stay in territory where you have real authority.
They are filtered through your angle, so even a crowded topic comes out with your slant on it.
Policy and architecture both: Littlebird does not sell data and does not train on it, under SOC 2, GDPR and CCPA alignment.
It uses your context to do its job, on your Mac. That context is never sold and never used to train models.
Put Littlebird to work.
