Your agent made the work.
Sendhey makes it client-ready.

Publish it as one controlled link your client can open, trust, and act on — gated to the right people, tracked so you know it landed.

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Getting started

Connect once. Then let AI do the work.

Set up with AI in one prompt.

Paste it into any LLM. The model checks what it can persist, then chooses the CLI or the correct account-level setup.

1Copy the prompt and let your AI choose the right connector route.
2Ask it to publish any deck, page, PDF, prototype, or ZIP.
3Share the returned link or QR code and watch the opens.
How it works

You don't upload. You ask your AI to share.

1

Ask your AI

"Publish this and give me a link." Any Claude, ChatGPT, Cursor, Codex, or OpenCode session with the sendhey MCP connector.

2

Get link + QR

One clean, branded URL and a scannable QR code come straight back into chat, ready for email, Slack, LinkedIn, or a live room.

3

See who opened

Live analytics on every open, return visit, and captured email, so follow-up starts from real signal.

What you can send

Whatever AI makes, give it a real link.

From generated file to something worth opening.

Acme proposalSales
Product prototypeBuild
Investor updateFounders
AI playbookMarketing
2026
AI playbook
Use cases

Everything your AI builds, ready for an audience.

Send proposals that tell you who leaned in.

AI-drafted proposals, leave-behinds, and demo recaps become polished links with email capture and return-visit analytics.

Proposal linksQR for roomsReturn visitsLead capture
Before you send

One link. Your rules.

Choose the audience while you publish. Viewers never need a sendhey account.

The missing share layer for AI work.

Your AI can build almost anything. sendhey gives it a clean link, the right gate, and a signal when someone opens it.

1One connector for every AI workspace.
2One link that looks good the first time.
3One clear signal when it gets opened.

Connect sendhey once. Every artifact after that is one sentence away from a polished share link.

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The missing layer

Built in AI. Finished in sendhey.