Social media automation that ships your posts without the daily grind

The real cost of running social by hand

The problem with social is not that any one post is hard. It is that the work never stops and never scales. Every channel wants a different length, a different tone, a different aspect ratio, and a different posting time. So a single piece of content gets manually reshaped four or five times, dropped into a scheduler tab by tab, and then babysat so it actually goes out. Multiply that by a few posts a week across four channels and you have a part-time job nobody chose to do.

That manual line is where consistency goes to die. Someone gets busy, the queue runs dry, and two weeks of silence undo months of momentum. The posts that do go out are rushed, off-brand, or copied word for word across channels because reformatting each one by hand is too much effort. The bottleneck is never the ideas. It is the assembly between having an idea and getting it live, and assembly is exactly what a machine should own.

What we automate, and the tools we build it on

We do not hand you another scheduling app and wish you luck. We map your actual social workflow, then automate the repetitive handoffs inside it. A source asset, a blog post, a case study, a product update, a founder's voice note, feeds an LLM step that drafts native versions for each channel: the punchy hook for LinkedIn, the thread for X, the short caption and hashtag set for Instagram. Those drafts land in one review view, a human approves or tweaks them, and the machine handles everything after that, queuing, scheduling to the right time slot, and posting through the channel APIs.

The stack is whatever fits the job, but for social it is usually an orchestration layer in n8n, Make, or Zapier tying the steps together, LLMs for the drafting and repurposing, and a content store in Airtable or Notion as the calendar and single source of truth. From there we post either through a scheduler you already pay for, Buffer, Hootsuite, Later, or Metricool, or straight through the native APIs where that gives you more control. Nothing gets ripped out and replaced; the automation becomes the connective tissue between the tools you already use.

• Repurposing: one asset reshaped into native posts per channel, correct length, tone, and format for each
• Drafting: hooks, captions, threads, and on-brand hashtag sets generated from your source material
• Queueing and scheduling: posts slotted into your calendar and optimal time windows automatically
• Publishing: hands-off posting via Buffer, Hootsuite, Later, or Metricool, or the native channel APIs
• Visual assembly: pulling the right image or generating on-brand graphics and resizing per platform
• Review gate: every post staged for a one-click human approval before it ever goes public

Workflows we build most often

Most teams start with the workflow that hurts most and widen from there. The classic first build is blog-to-social: the moment a new article publishes in your CMS, the automation drafts a LinkedIn post, an X thread, and an Instagram caption, drops them into the review queue, and schedules the approved versions across the following week so one piece of content works for days instead of minutes. This connects naturally to the SEO and content generation automations in our broader content and marketing engine, so the whole line feeds itself.

From there the patterns compound. We build evergreen recyclers that resurface your best-performing posts on a rotation so the queue never runs dry. We build UGC and mention pipelines that catch when someone tags you, draft a response or a repost, and route it for approval. We wire your social output into the same reporting automation that covers the rest of marketing, so engagement numbers land in one dashboard instead of five native analytics tabs. The point is not a single clever hack; it is a running system where content flows from source to scheduled post without anyone copy-pasting between tabs.

• Blog-to-social: new CMS article auto-drafted into per-channel posts and scheduled across the week
• Evergreen recycler: top-performing posts resurfaced on rotation so the queue stays full
• Campaign fan-out: one launch message reshaped and staggered across every channel on a timeline
• Mention and UGC capture: tags and reviews caught, drafted into replies or reposts, routed for approval
• Cross-posting with variants: platform-native versions instead of the same text pasted everywhere

How we build it, and what you own at the end

We build against your real content and roll out in draft mode first. Early on, every post the machine drafts goes to a human for approval, and we measure how close those drafts land to publish-ready before widening anything. As a channel or post type proves out, you loosen the reins where it is safe, letting evergreen recycling run on its own while keeping the approval gate on anything that makes a claim, names a customer, or carries a campaign message. You decide where the human stays, and we make that line easy to move.

You own the system, not a black box. The content calendar lives in your Airtable or Notion, the workflows run on your accounts, and the brand voice is tuned against your best-performing posts and your actual edits, so the drafts sound more like you every month. We build it, we run it, and we monitor it, so a changed API, a revoked token, or a rate limit is our problem to fix rather than a Monday-morning surprise that leaves your feed empty. And because we work outcome-first, you pay when it works, not for a slide deck describing what might.

Results, pricing, and when not to automate social

The math is simple because the work is so repetitive. A first social automation, usually blog-to-social or a repurposing workflow, is typically live in two to four weeks: about a week to build against your real content, then testing and a monitored rollout. Payback tends to land fast, because you are buying back the eight to twelve hours a week a team was quietly losing to reformatting and scheduling, and you turn an inconsistent feed into a queue that never runs dry. You get a dashboard on output, time saved, and engagement, so you widen or pull back on evidence, not on faith.

It is not the right move everywhere, and we will tell you plainly. Automation multiplies whatever you feed it, so if you have no content that performs and no clear brand voice, automating first just ships mediocre posts faster. Community management, real conversations in the replies and DMs, should stay human; the machine can flag and draft, but a person answers. And crisis or sensitive moments are never a place for a scheduled queue running on autopilot. The goal is not to remove your team from social. It is to hand them back the hours the reformatting grind was eating, so they spend their time on the ideas and the conversations that actually move the numbers.

• Keep community management human: the machine flags and drafts, a person replies in the DMs and comments
• Skip it if you have no performing content or clear voice yet: fix that first, then automate the line
• Pause the queue during a crisis or sensitive news moment rather than posting on autopilot
• Do not fully automate paid social creative sign-off: brand and spend decisions keep a human gate