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Social media and content automation with AI agents

Plan, draft, design and schedule posts with agents, with a person approving what goes out under your brand.

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On this page (11 sections)
  1. Which content tasks can agents take on?
  2. Do you run these agents yourselves?
  3. What does a content agent team look like?
  4. What is in a content team's stop rule?
  5. How do you keep AI content on-brand and honest?
  6. How is the agent team put together?
  7. What should you prepare before talking to us?
  8. How do you know whether the pilot worked?
  9. How does a pilot with us work?
  10. Related reading
  11. Questions
Demo app recording, sample data only: content calendar: an agent drafts a week of posts with visuals for a sample brand; some are scheduled after approval and others wait for review
Demo with sample data

Which content tasks can agents take on?

  • Content calendars: monthly plans built around your services, seasons, offers and festivals.
  • Caption and post drafts in your brand voice, in English or other languages.
  • Brand visuals: images and simple graphics following your colours, fonts and style.
  • Scheduling to Facebook, Instagram and other channels through a scheduling tool.
  • Repurposing: turning a blog post or guide into several social posts, a short newsletter and FAQs.
  • Comment and DM triage: flagging questions, leads and complaints for a person.
  • Reporting: what was posted, reach and engagement trends, and what to try next.

Do you run these agents yourselves?

Yes. We run a social media agent that plans and schedules Facebook and Instagram posts and a brand visuals agent that makes images for the owner's own businesses. These are in-house agents, described without metrics. See the agents catalogue and use cases.

What does a content agent team look like?

A team lead / editor agent plans the calendar and checks drafts against brand rules; a copy agent writes captions; a visuals agent produces images; a scheduler agent queues approved posts; and a reporting agent summarises results.

What is in a content team's stop rule?

  • Alone: plan, draft copy and visuals, prepare the schedule, and report.
  • With approval: publishing any post, especially anything mentioning prices, offers, results, people or partners.
  • Hard stops: replying publicly to complaints, posting about sensitive events, using people's images without permission, and making claims about results or testimonials that can't be verified.

How do you keep AI content on-brand and honest?

A written brand guide (voice, words to avoid, visual rules), approved facts to draw from, and human approval for every post. AI content without review tends to sound generic and can state things that aren't true. See limits of AI agents.

Our stop rule

The agent drafts, routes and escalates. A person decides. Before anything is built we write down what the agent may do alone, what needs approval, and when it must stop and hand over with the full context attached.

How is the agent team put together?

Every team we build uses the same architecture: a team lead agent that plans and assigns work, specialist agents with narrow jobs and permissions, a shared task board where every task and approval is visible, tools and connectors limited to what each agent needs, scheduled routines for recurring checks and reports, and approval gates wherever money, customers, data or irreversible changes are involved. Every action is logged, live systems are backed up before edits, and a daily summary arrives in chat so a person always knows what happened.

It is the same pattern we use in-house for our 14-bot SEO team, ads agent and site ops agent on the owner's own businesses (in-house systems, not client results). For a new team we start small, usually a specialist, a reporter and the team lead, and add agents only once the first ones are trusted. See how we build agent teams and real in-house use cases.

What should you prepare before talking to us?

You don't need a technical brief. A useful first conversation needs only a few things, and gathering them is valuable even if you never work with us:

  • The process in plain words: what triggers it, who does what, and where it usually goes wrong.
  • Rough volumes: how many messages, orders, tickets or invoices per week. A one-week tally is enough.
  • Your tools: WhatsApp app or API, CRM, sheets, accounting or helpdesk software, including versions or plans where you know them.
  • Three real examples: typical messages or cases, plus one awkward one, with personal details removed.
  • What must never happen: the mistakes that would hurt most. These become the first lines of your stop rule.
  • An owner: the person who will review the workflow once it runs.

Send these on WhatsApp or by email, or run the pilot scorecard first.

How do you know whether the pilot worked?

We agree the success measure before building, and it should be something your team can count without a dashboard project. Typical measures include the share of enquiries logged the same day, time to first response, the number of follow-ups that actually happened, hours spent on the task per week, or the number of escalations that were correctly flagged. We count the baseline before launch (even by hand for a week) and again after a few weeks of running.

We also review the qualitative side with the people involved. Do they trust the drafts? Are handovers arriving with enough context? Are customers asking for a person more or less often? A pilot can hit its number and still need tuning, or miss it and teach you something important. Either way, the decision to keep, tune, expand or stop is yours, made on evidence. We don't publish generic success figures, because results depend on your process, volumes and team.

How does a pilot with us work?

Every engagement follows the same four steps. Consult: you walk us through the process, the tools and where it breaks. Pick the pilot: we choose one workflow and write down its inputs, outputs, tools, stop rule and success measure. Ship: we build it into the tools you already use and test it on real cases. Review: your team checks what the agent did and what it escalated, then decides whether to tune it, expand it or stop. Read the full pilot process.

Questions

Will agents post without asking?

Not in our setup. Every post is approved by a person before it goes out.

Which platforms do you support?

Facebook and Instagram in-house; other channels depending on your scheduling tool.

Can agents make videos?

Simple visuals are straightforward; video depends on tools and scope, and we discuss it during consulting.

Next step

Start with one workflow

Tell us which process eats your team's time. You'll get an honest view of whether it's worth automating and what a first pilot would look like.

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Demo with sample data. Scroll or pinch to zoom. Press Esc to close.