Your team is already juggling pitches, edits, CMS updates, distribution, and follow-ups before the next deadline hits. AI agents take the repetitive work off the queue so your editors, producers, and operators can keep content moving without constant hand-holding. The result is fewer bottlenecks, cleaner handoffs, and faster publishing across the day.
The same publishing day, but with fewer handoffs and less chasing.
No engineering team required. Go from idea to running agent in minutes.
Tell the agent what it should do — in plain language. Or choose from a library of ready-made agent templates built for your industry. No code, no configuration files.
Link your email, CRM, spreadsheets, Slack, or any other tool with one click. The agent reads, writes, and acts across all your connected apps automatically.
Hit start. Your agent runs 24/7 and sends you a clear summary of everything it did — what it found, what it acted on, and what needs your attention.
From the first trigger to the final published result, the agent keeps the work moving.
The agent reads the request, pulls out the topic, deadline, format, and owner, then creates a clean task for the editorial queue.
The agent turns the approved angle into a short brief with key points, source reminders, headline notes, and publish requirements.
The agent checks for missing links, weak headlines, broken formatting, and basic consistency issues before the editor spends time on cleanup.
The agent prepares the CMS entry, drafts social and newsletter copy, and queues the distribution checklist for the right channels.
The agent watches for update requests, performance notes, and correction tasks, then creates follow-up actions so the team does not lose track of them.
These agents fit the work digital publishers already do every day: intake, planning, editing, publishing, distribution, and follow-up.
Reads incoming pitches, assignment requests, and update notes from email or forms, then sorts them when they arrive.
Turns approved story ideas into short working briefs with angle, sources, deadlines, and publish notes as soon as an editor signs off.
Checks drafts for missing links, broken formatting, weak metadata, and simple consistency issues before the editor reviews them.
Uses approved story details, metadata, and image notes to prepare the CMS entry when the piece is ready to go live.
Creates newsletter, social, and partner distribution reminders from the publish schedule when a story is approved or updated.
Tracks correction requests, refresh opportunities, and republish needs from inboxes and internal notes after stories go live.
See how we stack up against manual work and every other automation tool on the market.
One-click connections. No API keys, no developer setup required.
AI agents help digital publishers cut manual editorial busywork, keep production on schedule, and reduce missed follow-ups across the publishing workflow.
Directional outcomes from removing repetitive work across editorial operations, publishing, and follow-up.
"We stopped losing half the day to inbox triage and handoffs, and the team finally had room to focus on the stories that mattered."
Questions owners and operators usually ask before they let agents into the publishing workflow.
If your team is still chasing pitches, copying CMS details, and tracking follow-ups by memory, now is the time to fix it before the next deadline pileup.