AI social media agent

An AI social media agent that does the work, not just the writing

Most AI tools stop at a blank box and a suggestion. Bolta runs the whole loop — drafting, scheduling, replying, reporting — and parks every post in an approval inbox you control.

See what this agent would write for you

Paste your website or a social handle. The agent reads it and drafts one real post so you can judge the output before you sign up. Nothing is published anywhere.

Approve3 waiting for you
  • LinkedInMonday, 9:00 AM

    Every failed ERP migration we've been called into had the same autopsy: nobody trusted the data before it moved.

    ApproveEditReject
  • XMonday, 1:15 PM

    Most ERP migrations don't fail on the software. They fail because 20% of the SKUs were duplicates nobody reconciled.

    ApproveEditReject
  • ThreadsWednesday, 8:30 AM

    your migration timeline should be set by how dirty your data is, not by when the vendor contract starts.

    ApproveEditReject

Nothing in this queue goes out until you approve it.

What it does

What the agent actually executes

A scheduler waits for you. An agent works between your check-ins. You set the cadence, the platforms and the guardrails once, then each run produces finished work that lands in your inbox for a decision.

01

It runs on a schedule, unprompted

Agent jobs fire on the cadence you choose. Nobody has to remember it is Tuesday. Each run produces a batch of platform-specific drafts, not a list of ideas you still have to write.

02

It adapts one idea across ten networks

The same argument becomes a LinkedIn post with a real opening line, a tighter X version, and a Threads take that does not read like a repost. LinkedIn, X, Instagram, Threads, Facebook, Reddit, Bluesky, TikTok, YouTube and Pinterest are supported.

03

It writes in your voice, not a generic brand voice

Voice profiles are built from your own writing and paired with Business DNA — what you sell, who you sell it to, the claims you are allowed to make. Every run is grounded in that context.

04

It handles the replies too

The engager preset drafts responses to comments and mentions on the accounts you have connected. Those drafts go through the same approval step as everything else.

05

It watches competitors and trends

Monitoring runs feed the next drafting run, so the output reacts to what is happening in your category instead of recycling last month's angles.

06

It reports on what shipped

Cross-platform analytics cover the posts that actually went out, so you can see which approved drafts earned their place and tune the agent accordingly.

Worked example

A real run, start to finish

Meridian Ops is a three-person B2B consultancy that helps mid-market logistics companies clean up their warehouse data before an ERP migration. They connected LinkedIn, X and Threads, uploaded four past client memos to train a voice profile, and set one agent job to run every Monday at 7am. Here is what the first run produced.

LinkedIn
Monday run — post 1 of 3

Every failed ERP migration we've been called into had the same autopsy: nobody trusted the data before it moved. One client had 41,000 SKUs in their WMS. About 9,000 were duplicates from a 2019 acquisition nobody ever reconciled. They went live anyway, because the migration date was on a board slide. Six weeks later they were running two systems in parallel and paying for both. The unglamorous version of this work is a three-week data audit before anyone touches the new system. It is not a line item anyone enjoys approving. It is also the difference between a go-live and a rollback. If your migration date is fixed and your data audit is "in progress," that is the risk. Not the software.

X
Monday run — post 2 of 3

Most ERP migrations don't fail on the software. They fail because 20% of the SKUs in the old system were duplicates nobody reconciled after an acquisition four years ago. The audit is boring. The rollback is worse.

Threads
Monday run — post 3 of 3

unpopular opinion from someone who cleans up logistics data for a living: your migration timeline should be set by how dirty your data is, not by when the vendor contract starts. we've never once found a warehouse system where the SKU count matched what finance thought it was. never once.

Approval

Delegation without losing the last word

Autonomous execution with your approval is the whole design. Every draft the agent produces — posts, replies, repurposed threads — lands in the Approve tab at /dashboard/hub with its platform, its scheduled time and its full text. You approve, edit or reject. Nothing reaches a network until you have said yes, and rejecting a draft is a signal the agent uses, not a dead end.

Approve3 waiting for you
  • LinkedInMonday, 9:00 AM

    Every failed ERP migration we've been called into had the same autopsy: nobody trusted the data before it moved.

    ApproveEditReject
  • XMonday, 1:15 PM

    Most ERP migrations don't fail on the software. They fail because 20% of the SKUs were duplicates nobody reconciled.

    ApproveEditReject
  • ThreadsWednesday, 8:30 AM

    your migration timeline should be set by how dirty your data is, not by when the vendor contract starts.

    ApproveEditReject

Nothing in this queue goes out until you approve it.

Boundaries

What this agent will not do

The honest list. Knowing where the agent stops is the reason teams trust what it hands over.

  • It does not publish without you. There is no setting that skips the approval step. If you never open the inbox, nothing goes out.
  • It does not invent case studies, client names, revenue figures or testimonials. If a claim is not in your Business DNA or the source you gave it, it will not appear in a draft.
  • It does not run paid ads, manage budgets or touch ad accounts. Everything here is organic.
  • It does not read or reply to DMs. Reply drafting covers public comments and mentions on the accounts you have connected, and nothing else.
  • It does not manage accounts you have not connected. No credentials are scraped, guessed or borrowed.
  • It does not promise growth numbers. It removes the reason you skipped three weeks of posting; what that is worth depends on what you approve.
The comparison

Agentic execution vs. AI bolted onto a scheduler

What you're comparingA traditional schedulerBolta
Who starts the workYou do. Open the tool, click generate, stare at the box.The agent does. Scheduled runs fire on their own cadence.
What you get backSuggestions and outlines you still have to finish.Finished, platform-native drafts with times attached.
Cross-platform handlingOne text box, copy-pasted everywhere, truncated by the API.A separate draft written for each network's norms.
VoiceA tone dropdown: professional, casual, witty.A voice profile trained on writing you actually published.
Replies and commentsA separate inbox product, usually a separate bill.The engager preset drafts them inside the same run loop.
Context between sessionsNone. Every generation starts from zero.Business DNA and past decisions persist across runs.
Where approval happensOptional, often bypassed entirely by auto-post rules.Mandatory. One inbox, one decision per draft.
What you are buyingA calendar you have to keep fed.Execution you review, from $19/mo.

Why "agent" is a real distinction, not a rebrand

The word has been stretched thin, so here is the concrete test. A tool responds to a prompt. An agent has a standing objective, a schedule, memory of what it has already done, and the ability to carry a task through several steps without being nudged at each one. By that test, most of what is marketed as AI social media is not agentic at all. It is a caption generator sitting next to a calendar.

Bolta's unit of work is the run, not the prompt. A run is triggered by a job you configured — twice a week, every weekday morning, whatever you set — and it does a sequence of things: pull your Business DNA and voice profile, check what has already gone out so it does not repeat itself, look at what the monitoring presets picked up, draft for each connected platform, propose times, and file everything for review. You did not ask for any of it that morning. That is the difference.

The practical consequence is that delegation actually happens. With a prompt-based tool, the work still lives in your head; the tool just types faster. With an agent, the work lives in the system and only the decision lives with you. That is what people mean when they say they want to stop thinking about social media without giving up control of it.

The approval inbox is the product, not a safety rail

Plenty of tools offer full automation and treat human review as the training-wheels mode you graduate out of. We built it the other way round. The approval step is permanent, and it is where the system gets better.

Every decision you make in the inbox is information. Approving a draft untouched says the angle and the voice landed. Editing one says the substance was right and the phrasing was not, and the specific edit is far more instructive than a star rating. Rejecting one says do not go there again. Over a few weeks those decisions compound into an agent that produces more drafts you approve on sight and fewer you have to fix.

It also solves the thing that stops most teams from delegating social media to software at all: the fear of waking up to a post you would never have written. If nothing publishes without a human yes, the downside of a bad draft is ten seconds of your attention. That asymmetry is what makes handing over execution reasonable in the first place.

What delegation looks like in a small team

For a founder or a two-person marketing function, the failure mode is not quality, it is consistency. Everyone can write one good post. Almost nobody writes forty in a row while also running the business. The gap between what teams intend to publish and what they actually publish is where most social strategies quietly die.

An agent closes that gap by inverting the default. Instead of an empty calendar that requires effort to fill, you get a full one that requires effort to empty. Doing nothing produces drafts waiting for you rather than silence. That single inversion is worth more than any improvement in output quality, because the posts you never wrote score zero regardless of how good they would have been.

Agencies and consultants run this differently again. Multiple presets, multiple voice profiles, one review pass across several clients. The agent handles the repetitive execution per account and the human handles the part clients are actually paying for, which is taste and accountability.

How to get started without betting anything

Start with one platform and one agent preset. Pick whichever network you already care about most, connect it, spend fifteen minutes on Business DNA and a voice profile, and set a single job to run twice a week. Then look at what shows up in your inbox and judge it on its merits.

The first week is a calibration exercise. Edit heavily, reject freely, and be specific about why. By the second or third run you will have a clear sense of whether the drafts are worth approving, and you will have taught the agent a great deal in the process. Add platforms and presets only once one loop is genuinely working.

If you want a look before any of that, the preview above will read your site and write one real post. It is the fastest honest test of whether an agent can sound like you.

Questions

Frequently asked questions

What is the difference between an AI social media agent and an AI writing tool?

A writing tool waits for you to prompt it and hands back text you then have to schedule, adapt and post yourself. An agent owns the loop: it runs on a schedule you set, produces drafts for each platform, queues them at sensible times, drafts replies and reports on results. The work you keep is judgment — approving, editing or rejecting what it produced.

Will it post to my accounts without me seeing it first?

No. Every draft the agent generates waits in the Approve tab at /dashboard/hub until you approve, edit or reject it. There is no auto-publish toggle that bypasses this. If a week goes by without you opening the inbox, that week's drafts simply sit there.

How much time does this actually save?

The recurring cost of social media is not typing, it is deciding what to say, adapting it per network, and remembering to do it. The agent absorbs all three and leaves you a review pass. Most people find approving a week of drafts takes a few minutes, versus an afternoon spent producing them.

Which platforms does it publish to?

LinkedIn, X, Instagram, Threads, Facebook, Reddit, Bluesky, TikTok, YouTube and Pinterest. You connect only the accounts you want it to touch, and each network gets a draft written for that network rather than one message pasted across all ten.

How does it learn my voice?

You create a voice profile from writing you have already produced, and pair it with Business DNA — your positioning, audience, offers and the claims you are comfortable making. Every agent run is grounded in both, so drafts sound like your team rather than a generic brand account.

What happens when I reject a draft?

It never publishes, and the rejection is captured as feedback rather than discarded. Approving, editing and rejecting are the signals that shape what the agent produces next, which is why editing a draft is more useful to the system than silently rewriting it elsewhere.

Can it handle comments and replies as well as posts?

Yes, for public comments and mentions on accounts you have connected. The engager preset drafts responses and routes them through the same approval inbox as posts. It does not read or send direct messages.

What does an AI social media agent cost?

Bolta starts at $19/mo for the entry plan, which is less than a few hours of a freelancer's time per month. Approval is included on every plan — there is no tier where the agent publishes on its own.
Where this fits

The rest of the system

The hype-man, storyteller, repurposer, engager, analyst and hunter each execute a different slice of the work, and you can see how they divide up on the full roster of agent presets.

If you want one agent that owns the whole calendar rather than a specialist, start with the AI social media manager preset.

Teams that already produce long-form material usually get faster returns from the content repurposer.

Because the review step is the part people scrutinise most, we documented how the approval workflow is built.

Agencies juggling separate voices and approval chains should read the walkthrough on running agents across multiple client accounts.

Plans start at $19/mo with approval included on every tier, and the limits are laid out on the pricing page.

Delegate execution from $19/mo

Entry plans start at $19/mo. That covers scheduled agent runs, multi-platform drafting, voice profiles and the approval inbox. The control never becomes a paid feature: on every plan, every generated post waits for you to approve, edit or reject it before it goes anywhere.

AI Social Media Agent — Delegate Your Socials | Bolta