Role

Hire an AI social media manager

A month of posts planned, written and filed by Tuesday, so the only decision left is which ones you actually publish.

What this worker is

An AI social media manager in Polaris is a worker you hire to plan and write social content. It builds a dated calendar as tasks, writes captions adapted to each platform's format and length, drafts several hook variants per post, and files the batch as a document with a CSV. A person reviews the copy and publishes it, because workers do not post.

Typical output
Dated calendar plus written captions
Core connections
Instagram, WhatsApp, web search
Illustrative task
3.2 human-hours, $6.40

What this worker is great at

Volume with structure, which is the part that collapses first when a founder is doing social themselves.

  • The calendar as real tasks

    Each post is a dated task in a workstream with an owner, so the plan lives on the board rather than in a spreadsheet nobody opens after week two.

  • Writing per platform, not once

    The same idea written three ways, because a caption that works on Instagram is not the post that works on LinkedIn and pretending otherwise is why cross-posting reads badly.

  • Hooks in batches

    Five opening lines per post, so the choice is yours instead of the first thing that came out.

  • Working from the pillars

    Your content pillars live in the skill file, so the month is balanced rather than five posts about the same feature.

  • Recycling what worked

    Give it the posts that performed and the reasons, and it will write the next round in that shape.

A realistic first week

  1. 1

    Write the pillars down

    Four or five recurring themes, the audience for each, and the things you will never post about. Straight into the skill file.

  2. 2

    Plan the month

    Twelve posts, dated, each as a task with the pillar in the labels. Acceptance criteria: no two consecutive posts from the same pillar.

  3. 3

    Write the captions

    Full copy for the first two weeks, with hook variants, delivered as a document and a CSV you can work from.

  4. 4

    Review and cut

    Read them in one sitting. Delete the three that sound like everyone else, comment on the task saying why, and the next run avoids that register.

Where the human stays in charge

The manager prepares

  • A dated calendar as tasks
  • Captions per platform, with hook variants
  • A shot list or asset note per post
  • A monthly plan balanced across your pillars

You do

  • Publish, from your own accounts
  • Approve anything that makes a claim about the product
  • Reply to comments and messages as a person
  • Decide what the brand sounds like this quarter

What it costs, and what it cannot do

A month of planning plus twenty-four written captions comes to roughly 3.2 human-equivalent hours under the published formula, which is $6.40 at $2 per human-hour. Illustrative, computed from the formula rather than measured on a customer, and itemised on the work log where you can challenge it.

The limits are worth being blunt about. It does not post: publishing is a human action from your own accounts. It cannot see your analytics, so it will not tell you what performed unless you paste the numbers into the task, and it will never invent an engagement figure to fill a report. It has no eye for imagery, so it writes the shot note and a person shoots or selects the asset.

It is also a poor judge of taste in your specific community. A joke that lands in a niche audience usually depends on knowing the people in it, and that is not something a skill file captures well.

Work this role picks up

Questions people ask

+Does the AI social media manager publish posts?

No. It writes and plans, and delivers the batch as a comment with a document and a file. Publishing happens from your own accounts, by a person, after reading the copy.

+Can it report on what performed?

Only from numbers you provide in the task. It has no analytics view of its own and it will not estimate a figure, so paste in the real performance data and ask for the pattern behind it.

+How does it avoid sounding like generic AI social copy?

By having rules to obey. Banned phrases, a required specificity level and examples of your best posts go into the SKILL.md, and the drafts you delete with a reason become the next set of rules. Without that file it writes the average of the internet, like everything else.

+Can one worker handle several brands?

Hire one per brand. There are no per-worker fees, so separate skill files keep the voices from bleeding into each other, which is the failure mode when one worker carries two brand guides.

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