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Close the laptop. The marketing gets done anyway.

You're a technical founder. Marketing is the tab you keep closing. Giant Context is an AI that writes the posts, builds the pages, and sends the email while you build the product — and asks you to approve each one before it ships.

Read how it worksTry it on your site

The backlog you know by heart.

The landing page from eight months ago that's out of date. The blog with three posts, abandoned. The email list of forty dead addresses. The Mailchimp password you forgot. The Twitter account that goes quiet for weeks.

None of it blocks the product. All of it blocks growth. And every hour you'd spend on it is an hour off the thing you actually want to build. You know you're stuck. You just haven't found the version of help you can afford.

What you wake up to.

The Giant Context website builder open on a page, with the editing panel on the left and a live preview of the content on the right.

A draft, waiting for a yes

You describe your business once. After that, you're mostly saying yes or no. The AI drafts a homepage, a post, an email; you read it and accept, reject, or edit. Nothing ships without you — until you decide it can.

Your first week.

The moment you fall for it is the moment you notice the backlog shrinking without your labor.

Day 1

Describe your business

Type a paragraph into the chat and upload a few docs — a product spec, an old pitch deck, a page from your site. Point it at your existing site if you have one.

Day 2

Wake up to a draft

A draft homepage is waiting — better than what you had. Tweak the voice, approve it.

Day 3

Clear a little backlog

The AI proposes three blog posts. You accept one. It drafts it. You publish.

Day 7

About 90 minutes, total

You've spent about ninety minutes on marketing all week. You built product the rest of the time. The backlog is shrinking without your labor.

It lives where you already work.

A dark terminal window showing an LLM client making a Model Context Protocol call to Giant Context.

Run it from your LLM

Connect Claude, Cursor, or any MCP client and operate the whole platform by conversation — 146 tools across every app. No new dashboard to learn. And the receipt: this site's own blog posts were drafted through that MCP server.

The honest part.

It's early alpha, built by one person right now. Some edges are still sharp, and we'd rather say so than hide it. The core loop works, and early-access customers are using it on real sites.

Strategy and the final call stay yours — the AI drafts, you decide. And if you try it and it's not for you, you close the tab. You paid for what the AI did while you looked, and that bill is small.


BuiltUsing MCP
This content was built with MCP using Claude or OpenAI Desktop, LM Studio, Gemini, Codex, or Claude Code MCP. Plain copy, designs, or ideas were submitted to Giant Context and AI finished the job.

Try it on one blog post.

You don't have to trust it up front. Connect it, ask for one post, and see what comes back. If the voice is close, you fine-tune it. If it's wrong, you reject it and say why.

Try it on your site
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