Jotary: Temporary Text Sharing for AI Agents

Jotary is a minimal text storage service designed for multi-step AI workflows. One agent posts its output, gets a URL back, and another agent or tool reads the raw text at that URL. No accounts, no API keys, no SDKs. The whole contract is a URL.

What makes this useful is the ephemeral option. You can set a jot to expire after one view or after a time window. That matters when agents are passing sensitive context like customer data, draft decisions, or intermediate analysis results that should not sit in storage indefinitely.

For operators building workflows with tools like Make, Zapier, or n8n, this fills a real gap. Those platforms do not always give you a clean way to hand a large text block from one step to another across different services or runtimes. Jotary gives you a neutral drop point that any HTTP-capable tool can read.

How teams can use it

Operations lead

What for: Passing a summarized report from one automation step to a second tool that sends it as an email or Slack message

Outcome: The summary moves cleanly between two tools without needing a shared database or a file attachment

Build it in 5 steps:

1. Build a Make or Zapier workflow that generates a text summary using an AI step.
2. Add an HTTP POST action that sends the summary text to jotary.com/api/jot and captures the returned URL.
3. Set the jot to expire after one view so the content disappears once read.
4. Pass the raw URL to the next step in your workflow, such as a Slack message or email body.
5. The receiving step fetches the plain text directly from the raw URL with no extra parsing.

Where it gets complex: If you need the receiving tool to authenticate before reading, Jotary does not support that natively and you would need a different solution.

Marketing manager

What for: Handing off AI-drafted copy from a research agent to a separate editing or publishing agent in a multi-step workflow

Outcome: Draft copy moves from one AI tool to another without manual copy-paste or a shared document

Build it in 4 steps:

1. Run your research or drafting agent and collect the output text.
2. POST the draft text to Jotary and save the returned jot URL.
3. Open your editing tool or second AI agent and give it the raw Jotary URL as the input source.
4. Set a 24-hour expiry on the jot so old drafts do not accumulate.

Where it gets complex: If your editing tool cannot accept a URL as input and needs a native integration, a developer would need to add a small fetch step.

Customer support lead

What for: Storing a structured ticket summary generated by an AI triage step so a second agent can read it and draft a reply

Outcome: The triage output is available to the reply agent instantly, with no shared inbox or storage system required

Build it in 4 steps:

1. Set up an automation that runs when a new support ticket arrives and sends it to an AI step for triage.
2. POST the triage output to Jotary with a one-view limit so it is consumed exactly once.
3. Pass the raw URL to your reply-drafting agent as its context input.
4. The reply agent reads the triage summary and drafts a response, then the jot is gone.

Where it gets complex: Connecting this to a live helpdesk like Zendesk or Intercom will need a Zapier or Make integration or a developer if the platform has no native webhook.

Small business owner

What for: Sharing a one-time AI-generated action list with a contractor or freelancer without creating an account or sending a file

Outcome: The contractor gets a clean plain-text URL that expires after they read it once, with no login required on either side

Build it in 5 steps:

1. Generate your action list or instructions using any AI writing tool.
2. Go to jotary.com and create a new jot by pasting the text.
3. Set the view limit to one and the expiry to 48 hours.
4. Send the raw URL to your contractor by email or message.
5. Once they open it, the content is gone and nothing lingers.

One caution

There is no authentication on read. Anyone with the URL can fetch the content, so do not store genuinely sensitive data unless you use a one-view expiry and treat the URL itself as the secret.