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Content Automation

Five platforms of content from one idea.

Find what's already working, then turn a single idea into platform-native posts for every channel, automatically.

Typical pilot
4 to 8 weeks
Pricing model
Fixed scope, fixed price
Coverage
USA · UK · Remote-first
NDA available
Yes
In short

How do you automate content creation with AI?

You automate content creation by building a system that finds what is already performing, then turns a single idea into platform-native posts for each channel, Facebook, Instagram, Threads, LinkedIn, and X, each written for how that platform reads, with a human approving before anything publishes.

The bottleneck in content is rarely writing one post; it is reformatting the same idea for five platforms, every day. An AI content automation system removes that: it surfaces high-performing source material, generates native variants for each channel, and queues them for review. Nothing is posted blind, you approve, it publishes. One creator we built this for turned a single idea into five platforms of content and cut roughly 70% of the time previously spent producing it, moving from an occasional post to a consistent multi-channel presence.

Get your free plan

Tell us one thing. See content automation run.

Add a couple of details, get a personalized result and a live look at the system, then we carry everything into a tailored plan, no retyping.

Run the numbers first

Before you talk to us, see what content automation is costing you.

Adjust the sliders. The number on the right is what staying manual costs in a year. Conservative math, defensible assumptions, no signup to see the result.

Already know what you need?

Skip the audit. Book a 15-minute scoping call.

The problem

What's actually painful about content automation today.

Great content already exists, the problem is finding it and reshaping it for every platform. Hours disappear scrolling for ideas, then more hours reformatting one idea five different ways for five different feeds.

By the time it's all posted, the moment has passed and you're starting the hunt again.

The cost of standing still

What staying manual actually costs.

  • 01Hours per week the team spends on content automation work that could run itself12 to 25Mid-sized teams routinely bleed a full-time role to manual coordination in this area.
  • 02How long it takes for a new content automation initiative to compound8 to 16 wksBecause every change has to be done by hand, then redone by hand next quarter.
  • 03Share of content automation decisions that depend on one person being available60%+When they're on PTO or sick, the work doesn't just slow, it stalls.
The shift
"A creator turned one idea into five platforms of content."

A system that finds high-performing content across platforms and generates native posts for Facebook, Instagram, Threads, LinkedIn, and X, each written for how that platform actually reads.

What's possible now

What changes once the system runs.

01
High-performing content surfaced for you across the platforms that matter
02
One idea turned into native posts for every channel automatically
03
Each post written for how that specific platform actually reads
04
Content output multiplied several times over
05
Hours of weekly reformatting eliminated
The system we buildPrescribe

Here's the system that runs content automation end to end.

Every content automation engagement builds the same four-stage system, adapted to your operation. Press Run the system below to watch one piece of work move through every step.
The system · live run
  1. 01
    Watch

    High-performing content is surfaced across the platforms your audience actually uses.

    pending
  2. 02
    Pick

    You choose the angle or signal, the rest of the pipeline runs from your selection.

    pending
  3. 03
    Reshape

    Each post is rewritten for the specific platform's voice, format, and length.

    pending
  4. 04
    Schedule

    Drafts queue into your scheduler for review or auto-publish, on the cadence you set.

    pending
token
complete
Try it on your workflow

Map a workflow you actually run. See what it costs.

Drag the steps into the order your team actually does them. We show you the hours and dollars the manual version costs, and exactly which steps the system takes off your plate.

What we believe

Principles

  1. 01

    Outcome, not output

    We measure success by hours reclaimed, deals closed, errors removed, not by tickets filed.

  2. 02

    Boring over clever

    We pick the most boring, durable technology that solves the problem. Cleverness is a liability.

  3. 03

    Fixed price, fixed scope

    No open-ended retainers. Every engagement ships with a one-page scope you can hold us to.

  4. 04

    Build to hand off

    We document, train, and hand over. The system is yours to run, modify, or extend without us.

Where we work
Questions
  • No. The whole point is platform-native output, what works on LinkedIn is written differently from what works on X or Instagram.

How it works

We connect content-discovery sources, language models, and the social scheduling tools you already use.

Stack details shared during scoping, under NDA.

≤ 4 hrs
Avg response
EN · ES · UR · HI
Languages
USA · UK · EU
Coverage
Full ET/GMT
Time overlap
Fixed scope
Engagement
Standard + mutual
NDA
Working with us
Next step

Ready to automate content automation?

Run the audit above, or book a 15-minute scoping call. We'll send back a one-page scope in 48 hours.

Response time

≤ 4 business hours

Coverage

USA · UK · EU

Team

10 engineers · 1 PM