A week of posts from one brief:
written, cut and queued
Turning one piece of content into a week of social posts usually means someone resizing images, rewriting captions per platform and manually queuing each post at the right time. An agent builds the variants, writes platform-tuned captions, and queues the week, leaving the final look and the send decision to a human.
The process today
One piece of real content, a blog post, a product shoot, a video interview, usually should become a week of social posts across two or three platforms, and almost never does at that rate, because turning it into platform-specific formats is its own job: resizing for square and vertical, rewriting a caption for a platform’s own tone and character limit, picking the right still frame or cutting a short clip, and then queuing each piece at the right time across time zones. Teams that track this honestly find a social manager spends more time on the repurposing than on the actual creative decisions, and the backlog of good source content that never became a post is usually bigger than anyone wants to admit.
The second cost is cadence drift. A content calendar planned for three posts a week on each channel slips the moment the person running it gets pulled onto something else, and a week with no posts is not neutral, it is a visible gap on a channel that an algorithm and a follower both notice.
The third cost is caption quality under time pressure. A caption written in five minutes between other tasks tends to be the generic version of what the content is actually about, missing the hook or the specific detail that would have made someone stop scrolling, and across a week of posts that adds up to a channel that technically posts on schedule but rarely gets read.
What the agent does
The agent takes one source, a blog post, a product shot, a raw video clip, and produces platform-tuned variants: a caption written for how each platform’s audience actually reads (shorter and punchier for one channel, more context for another), resized formats where the platform needs them, and a suggested posting time based on your own cadence rather than a generic best-practice chart.
For video, the same pipeline we built for our AI reels editor applies: a Telegram bot collects raw clips, speech is transcribed locally with word-level timestamps, a vision model finds the best moments, and an AI director writes an exact timeline, a hook in the first 1.5 seconds, cuts on beats, captions, before ffmpeg renders the final cut with music ducking. Revisions happen on the timeline itself through inline buttons, so a second pass does not mean re-analyzing the whole clip.
Captions and post copy are generated in your brand voice, the same voice-tuning approach behind our content agent’s 11 content types across two brands, described in the content agent case study, where UGC-style captions, product posts and comparison content all had to sound consistent across a funnel without sounding like the same sentence repeated.
Everything lands in your scheduling tool as a draft queue, organized by day and channel, with a compliance flag on anything that makes a product or health claim, so a reviewer sees the full week at a glance before approving it to go live.
What stays with humans
Nothing auto-publishes. A person reviews the queued week, approves or adjusts individual posts, and makes the final call on tone, timing around real-world events, and anything the compliance pass flagged. The agent repurposes and schedules into a draft state; a human decides what actually reaches your audience.
Guards
Posts queue as drafts, never set to auto-publish, so a human is always the last step before anything goes live. A compliance check runs on any post making a product or health claim before it reaches the queue. Rate limits per platform keep posting inside each platform’s own normal-use patterns rather than risking a spam flag, every queued post is logged with its source, and a kill switch clears the queue instantly if something needs to stop.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $550 | Repurposing and scheduling for two to three channels, draft queue | 3 to 7 days |
| Department package | from $2,500 | Social scheduling plus blog drafting and newsletter drafting as one content pipeline | 2 to 4 weeks |
Running cost is usually $20 to $80 a month in model usage depending on posting volume, with video rendering costing nothing in cloud fees since it runs locally.
Related
Works downstream of blog drafting with review, which is often the source content this repurposes, and pairs with video script drafting and subtitle and transcript generation for channels built around short-form video. Part of automation of everything digital and built the way we build AI agents, including the AI reels editor and the 11-type content agent.
Send us your current posting cadence and a sample piece of content, and we will send back a repurposed sample week and a fixed price: get in touch.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does social posting and scheduling automation cost?
From $550 for a repurposing and scheduling pipeline across two to three channels with a fixed cadence, live in 3 to 7 days. Adding video cutting for short-form channels or more platforms usually runs $1,500 to $3,000.
How long before it is live?
3 to 7 days, most of it spent agreeing your posting cadence, caption style per platform and approval workflow, since the generation and scheduling themselves take hours once those rules are set.
Which tools does it connect to?
Your source content (blog posts, video clips, product shots) on the input side; Meta Business Suite, Buffer, Later or a native scheduler on the output side, queued as drafts for your team to approve, not set to auto-publish by default.
What if a generated caption or clip is off-brand?
Everything lands in the queue as a draft, never auto-published, so a human reviews every post before it goes live. A compliance pass runs on anything making a product or health claim before it even reaches the draft queue.
Is our social account access safe?
The agent connects through your scheduling tool's own API with the access level you grant it, never your personal account login, and we log every post it queues so you can audit the full history at any time.