Claude Code just built you a landing page. The HTML is clean. The CSS is responsive. The JavaScript handles interactions smoothly. The file sits in your project directory, ready to go.
Then you realize: your agent can build anything, but it can't put it online. The build is finished. The deployment hasn't started.
Here's how to close that gap — three ways to deploy from Claude Code, from manual to one-command.
The Build-Deploy Gap
Coding agents are great at build. They're not built for deploy.
Claude Code writes the code. Runs the tests. Polishes the output. But deployment means servers, domains, HTTPS certificates, CDN configuration — infrastructure that lives in a different world from the terminal session your agent operates in.
Most developers handle this manually:
- Agent builds the page
- You open a terminal
- You configure hosting (Netlify, Vercel, GitHub Pages, S3)
- You push or upload
- You wait for the build
- You get a URL
Your agent does step 1. You do steps 2-6. That's not agentic — that's a handoff.
Method 1: GitHub Pages (Manual, Free)
GitHub Pages is the most common approach for static sites. Your agent builds the HTML. You push to a repo. GitHub deploys.
Setup:
- Create a GitHub repo
- Push the agent's output to the repo
- Enable GitHub Pages in repo settings
- Wait for the CI build
- Get your URL
This works. It's free. It's version-controlled. But it requires a Git push for every deploy, which means your agent needs repo access and every throwaway page creates permanent commit history.
Not agentic. Just automated manual work.
Method 2: Manual Cloud Upload (S3, R2, etc.)
Direct upload to cloud storage:
- Create an S3/R2 bucket
- Configure public access
- Set up static website hosting
- Upload the agent's output files
- Configure CORS and caching
- Get your URL
More control than GitHub Pages. More configuration too. Every page needs bucket policy review. Every update needs cache invalidation. This is infrastructure work disguised as deployment.
Method 3: One Command Deploy (The AnyCap Way)
Your agent builds the page. Then it runs one command:
anycap page deploy ./build/index.html --title "My Landing Page"
That's it. One command. Your agent gets back a live URL. No repo. No bucket. No manual configuration.
What the runtime handles:
- Rendering. HTML and Markdown both supported. Your agent outputs either format — the runtime renders it.
- Hosting. Pages go live immediately. No build step, no CI pipeline, no DNS configuration.
- HTTPS. Every page gets TLS automatically. No certificate configuration.
- URL. Your agent gets a public URL back. It can embed that URL in a Slack message, an email, or another page.
Install:
npm i -g anycap
anycap login
anycap skill install --target ~/.claude/skills/anycap-cli/
→ Install AnyCap free — 250 credits for new users
Full Workflow: Build + Deploy in One Session
Here's a complete Claude Code workflow that goes from idea to live page:
# 1. Claude Code builds the landing page
# (Agent writes index.html, styles.css, app.js)
# 2. Generate a hero image for the page
anycap image generate \
--prompt "a modern SaaS dashboard on a laptop, clean lighting, product photography" \
--model seedream-5 \
-o hero.jpg
# 3. Embed the image in the page
# (Agent updates the HTML to reference hero.jpg)
# 4. Deploy
anycap page deploy ./build/index.html \
--title "Product Launch — June 2026" \
--description "New feature announcement page"
# 5. Get the URL back
# "Page deployed: https://anycap.ai/page/..."
Your agent built the page, generated the visuals, embedded them, and deployed — all in one session. You described the outcome. Everything else happened in the agent loop.
When to Deploy vs When to Store
Not everything needs a live page. Here's how to decide:
| Deploy when... | Store when... |
|---|---|
| The page is meant to be shared publicly | The file is for internal use or later reference |
| You need a URL to send to someone | You need persistent storage for your agent |
| The output is a complete page | The output is an asset (image, video, CSV) |
| It's a one-off report, prototype, or announcement | It's part of a larger project build |
For storage without publishing: anycap drive upload ./report.md — the file goes to cloud storage and gets a share link, but doesn't become a public web page.
Real Use Cases
Instant Changelog Pages
Your agent pulls the latest commits, generates a changelog page, and deploys it:
# Agent reads git log, formats as HTML changelog
anycap page deploy changelog.html --title "Changelog — Week of May 18, 2026"
One command. Live changelog. No CMS.
Client Prototypes
Your agent builds a prototype based on a spec. You deploy it and send the URL to the client:
anycap page deploy prototype/landing.html --title "Client Preview — Homepage Redesign v3"
Client clicks the link. No staging environment. No Netlify deploy. Just a URL.
Research Reports
Your agent researches a topic, writes up findings, and publishes the report:
anycap search --prompt "competitor product launches Q2 2026" --citations
# Agent analyzes results, writes report as HTML
anycap page deploy q2-competitive-analysis.html --title "Q2 2026 Competitive Analysis"
Research → report → publish. All in the agent loop.
The Page + Drive + Search Stack
Deployment is most powerful combined with other capabilities:
SEARCH → research the topic
↓
CRAWL → extract detailed data
↓
IMAGE GEN → create visuals
↓
BUILD → agent writes the page
↓
DEPLOY → page goes live
↓
DRIVE → store assets permanently
One CLI. One session. Your agent researches, creates, and publishes — without you touching a single deployment config.
FAQ
Does this work with Markdown files?
Yes. anycap page deploy ./report.md renders Markdown as a styled page. Your agent can write in whichever format it prefers.
Can I use a custom domain?
Custom domains are available on paid plans. Free deployments get an anycap.ai/page/... URL.
How is this different from GitHub Pages?
GitHub Pages requires a Git push, a repo, and CI configuration. AnyCap Page is one command from your agent's terminal session — no repo, no push, no CI. Built for agent workflows, not human workflows.
Does this work with Cursor and Codex?
Yes. anycap page deploy uses the same CLI across Claude Code, Cursor, and Codex. One install, all agents.
Can my agent update an existing page?
Yes. Deploy to the same path with updated content, and the page refreshes.
The Bottom Line
Claude Code can build anything. It just can't put it online — until you give it that capability. The build-deploy gap is the last mile between what your agent creates and what your team can actually use.
Close the gap. One command, live page, no manual steps.
→ Give Claude Code one-command deploy — publish directly from the terminal
📖 What to Read Next
- How to Add Web Crawling to Claude Code — Full-page web access for research-driven builds.
- How to Generate Video with Claude Code: The Complete 2026 Guide — Add video to your agent-built pages.
- AI Image-to-Video: The Complete Pipeline for Coding Agents — Generate visuals and motion for your deployed pages.
Related Articles
- How to Give AI Coding Agents Real-World Capabilities — The full capability stack overview.
- What Is a Capability Runtime? — Why one CLI beats five separate APIs.
Written by the AnyCap team. We build the capability runtime that takes your agent from build to deploy in one command — no manual steps, no separate hosting.