Source to social post
Paste a launch note, a doc or a call summary. ZeroTwo drafts a post for each network with its own structure, length and ask. Below: one worked example, what changes between the two, and a brief you can paste.
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Source
Shipped this week: drop a folder of receipts into Ledgerly and each one is matched to a transaction. Before, receipts were attached one at a time.
LinkedIn post
Receipts were the slowest part of month-end for our users. Until now, Ledgerly users attached them to transactions one at a time. This week we shipped bulk upload: drop in a folder and each receipt is matched to a transaction. Anything it cannot match is flagged for you to review, not guessed. What it does not do yet: read handwritten receipts. Those still need a manual check, and we would rather say that up front. We built it because customers kept asking in support. If receipts are your month-end bottleneck, what slows you down most: finding them, or matching them?
X thread
1/ Ledgerly now takes a whole folder of receipts at once and matches each one to a transaction. Before: one at a time. A short thread on what changed and what did not.
Illustration for a fictional product, written by hand. Not a screenshot and not ZeroTwo output.
The source on the left is invented for a fictional app. The two drafts were written by hand to show what changes between the networks. They are not ZeroTwo outputs and not a test of any model. The counts are computed from the text beside them.
Source note
Every fact in both drafts traces back to these lines.
Receipts were the slowest part of month-end for our users. Until now, Ledgerly users attached them to transactions one at a time. This week we shipped bulk upload: drop in a folder and each receipt is matched to a transaction. Anything it cannot match is flagged for you to review, not guessed. What it does not do yet: read handwritten receipts. Those still need a manual check, and we would rather say that up front. We built it because customers kept asking in support. If receipts are your month-end bottleneck, what slows you down most: finding them, or matching them?
577 of 3,000 characters. The caveat and the reason both fit, so both stay.
Ledgerly now takes a whole folder of receipts at once and matches each one to a transaction. Before: one at a time. A short thread on what changed and what did not.
164 of 280 characters
How it works: drop in the folder. Each receipt is matched to a transaction. Anything it cannot match is flagged for you to review instead of being guessed.
155 of 280 characters
What it does not do yet: handwritten receipts. Those still need a manual check. We would rather say so up front.
112 of 280 characters
We built this because customers kept asking in support. If receipts slow your month-end, where does it hurt: finding them or matching them?
139 of 280 characters
Posting with an image? The caption for it is its own job with its own limits, so take that to the AI caption generator to write a short caption for the accompanying image.
The limits are quoted from each platform's own help page. The rest is our editorial take from writing the example above, not a measured result, so adjust it to your audience.
| Dimension | LinkedIn post | X thread |
|---|---|---|
| Length limit | 3,000 characters per post, per LinkedIn's help page. Over that, LinkedIn's help pages suggest its article format. | 280 characters per post for a standard account, per X's help page. Longer posts are an X Premium feature, so check which applies to you. |
| Opening | One plain line that names the problem. Put the point up front in case a reader only sees the start of a long post. | The first post of the thread carries the whole claim, because it is the one people see alone. |
| Structure | Short paragraphs with white space: what changed, the honest limit, why it exists, one question. | One idea per post, in the order a reader would ask: what, how, what is missing, why, what to do. |
| What gets cut | Almost nothing. This is the place for the caveat and the reason. | Everything that is not the point of that one post. The caveat survives; the backstory is compressed to a line. |
| The ask | One question the reader can answer in a comment. | One question at the end of the last post, so the replies land under the thread. |
| Hashtags and links | Your call. The example uses none. | Your call. The example uses none. A link costs characters, so decide which post carries it. |
Read 5 October 2026 (search excerpt; the page blocked automated fetch). States a 3,000 character limit for a post.
Read 5 October 2026. States up to 280 characters per post, and longer posts as an X Premium feature.
The brief tells the model what to keep, what not to invent and when to ask. The checklist is the part no model can do for you.
Turn the source below into two drafts. 1. A LinkedIn post, under [your ceiling] characters. The first line must work on its own. Short paragraphs. Keep the honest limitation. End with one question. 2. An X thread of [number] posts, each under 280 characters. The first post must carry the whole claim. One idea per post. Voice: [three adjectives and one thing to avoid] Audience: [who reads this and what they already know] Do not add any fact, number, name or quote that is not in the source. If the source is missing something you would need, ask me instead of inventing it. Source: [paste the note, doc or call summary]
Posting about a property listing? Pair it with the buyer follow-up in our real estate email templates.
Where this page stops, stated plainly, so you know what you are getting.
Drafts and revises text in chat from the source you give it. You can run the same brief on a second model and compare the drafts.
A connected action that posts to LinkedIn or X, an approval flow, or scheduling on those networks. Treat every output as a draft you copy into the network yourself, or into the scheduler you already use.
Check the facts, set the final voice and decide what to publish. A fluent draft is not a verified one.
For what is connected today, see the connectors page.
Posts are one piece of a content run. These are the neighbouring jobs, each with its own page.
More on writing with ZeroTwo: the AI writing assistant, the best AI for writing comparison, all AI tools, or ZeroTwo as a ChatGPT alternative.
Drafting posts is chat, so the Free plan covers it while its credits last: 100 to start, plus 20 bonus credits every day you log in. Every model, image, video and deep-research run draws from one monthly credit pool, and heavier tasks use more credits. Prices come from our pricing page; see the plan comparison for every line.
$0/mo
No card required
$14.99/mo
$11.99/mo billed annually
$29.99/mo
$26.99/mo billed annually
This page does not document a connected posting action, so treat the output as a draft. Copy the final text into LinkedIn or X, or into the scheduler you already use. Check the connectors page for what is connected today.
ZeroTwo has not run a matched test across models for this task, so we do not rank them. Give two models the same brief and source, compare the drafts against the checklist on this page, and keep the one that sounds most like you. ZeroTwo offers 60+ models, so you can switch without changing tools.
Only as much as the brief tells it. Name the voice in three adjectives, name one thing to avoid, and paste a paragraph you wrote as a reference. Then edit; a draft is a starting point, not a finished post.
You can ask for several angles from the same source in one chat. Keep the same rule: it may not add facts that are not in the source. Scheduling and calendar planning are a separate step, covered by content planning tools.
There is a Free plan with no card required, with 100 free credits to start, 20 bonus credits every day you log in, and limited model selection. Pro is $29.99/mo, or $26.99/mo billed annually. Every model, image, video and deep-research run draws from a monthly credit pool, so heavier tasks use more credits.