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The DIY LinkedIn ghostwriting stack: 5 free tools

Ezekiah Livingston LinkedIn strategist and ghostwriter. I built these five free tools, so I will also tell you where they stop. Find me on LinkedIn.

Published September 5, 2026

Every week someone asks me for "the tool" that writes their LinkedIn posts. There isn't one, at least not one worth using for the part that matters. But there is a stack of free tools that does most of what a ghostwriter does, and if you have an hour a month and something real to say, it can carry you a surprisingly long way. I built these five, so I have no incentive to pretend they replace a human. This is the honest version: what they do, how to run them in sequence, and the exact point where a tool stops being enough.

What a ghostwriter's job actually breaks into

Before the tools, the frame. When I ghostwrite for a founder, the work splits into three jobs that look like one from the outside.

Diagnosis. What is actually wrong. Is the profile leaking trust before a single post lands? Are the posts fine but the hooks dead on arrival? Is the banner cropping off the one line that mattered? Most people skip this and start "posting more," which fixes nothing if the problem was upstream.

Thinking. The specific claim only you can make. The story from the customer call, the opinion you would actually defend, the mistake you are willing to admit in public. This is the part that cannot be automated, because it lives in your head and your inbox, not in a model's training data.

Polish. Turning raw material into something a stranger will stop for. Hook first, structure that survives a phone screen, an ending that takes a position instead of begging for comments.

Free tools are genuinely good at diagnosis and polish. They are useless at the thinking, and any tool that claims otherwise is handing you the generic middle that the engagement data already punishes. So the stack is built to do the two ends and leave the middle to you.

The five-tool stack, one job each

Each tool owns one part of the job. Run them roughly in this order, because the order is the diagnosis.

The one rule that makes the stack work: AI as critic, not author

Notice what none of these tools do. Not one of them writes your post for you and tells you to hit publish. That is on purpose, and it is the whole philosophy. AI is a strong critic and a weak author. It can spot a limp hook, a buried point, and an ending that asks "Thoughts?" faster than you can. It cannot have your idea.

So the rule for the entire stack, and for whatever chatbot you also have open, is this: let AI touch everything except the sentences a reader actually sees. Use it to grade, to tighten, to catch the weak part. Then write the visible lines yourself, in your own words, from your own material. The data on AI-first drafting is not subtle: roughly 40 to 50 percent lower engagement in one analysis of over 10,000 posts, labeled Observed, and most long-form posts now reading as machine-made. The tools are built to keep you on the right side of that line.

A one-hour-a-month DIY workflow

Here is how the stack runs as an actual routine, not a pile of bookmarks. It borrows the extraction logic from the what-to-post system, because the thinking is still the part that is yours.

Once, up front (about 30 minutes). Run the 8-Second Test. Fix whatever it flags first, usually the headline, so use the Headline Grader. Check the banner. Now your profile stops leaking, which means every post you write next lands on solid ground.

Every month (about 60 minutes). Spend 15 minutes capturing raw material, a customer call, a decision you made, an opinion you would defend. Spend 30 minutes drafting, hook first, one idea per post. Run each draft through the Content Audit and fix the weakest part. Spend the last 15 minutes loading them into the Scheduler, using the pre-check as a final gate. Eight good posts a month, held, beat thirty forgettable ones abandoned by week three.

That is a real content operation, built on free tools and one honest hour. Plenty of founders never need more than this.

When the free stack stops being enough

I would rather you know the edge than discover it after three frustrated months. The tools do diagnosis and polish. They do not do time, and they do not do taste. The stack stops being enough when:

Consistency is the wall, not knowledge. You know what to say and how to fix a post. You just never actually do it, week after week, because the business eats the hour. No tool fixes a calendar problem. A person you have paid does, because now it is someone's job instead of your good intention.

The judgment calls pile up. Which of your five stories is worth telling? How technical is too technical for this audience? When do you argue with your own industry and when do you sound like a crank? The tools grade a draft you already wrote. They cannot make the taste calls that decide what to write in the first place.

You are trading a $10,000 hour for a $50 task. If your time is worth more sold back into the business than spent formatting posts, the math flips. That is the honest core of the ghostwriter vs DIY vs in-house decision, and it is a real decision, not a sales trick. DIY on this stack costs you 10 to 15 focused hours a month. Ghostwriting costs money and a small voice risk. Neither is wrong; they just fit different founders.

Use the tools first. Genuinely. If you hit the wall and it is a time-and-taste wall rather than a knowledge one, that is when handing it to a human starts to pay. Not before.

Questions people ask

Keep going: the ghostwriter vs DIY vs in-house math, what the AI-vs-human data actually says, the extraction system for ideas, or why the algorithm rewards posts people actually stop for. Or if you have decided the wall is time, see the ghostwriting service.