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Paragraph

Paragraph is a media engine for early-stage startups. Its AI agent turns company context, like Slack threads, product docs, and customer calls, into blog posts, newsletters, social content, and landing pages, then publishes only what a human approves, helping small teams run consistent content marketing without a full editorial staff.

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Paragraph screenshot

Paragraph now describes itself as "the media engine for early-stage startups." Its agent draws on a company's own context and turns it into posts, newsletters, social campaigns, and landing pages, then publishes only the work a human signs off on. This is a shift from Paragraph's earlier positioning as a decentralized, crypto-friendly publishing platform for independent writers; the product now targets startup marketing and content teams rather than individual creators, and the old paragraph.xyz domain now permanently redirects to paragraph.com.

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Paragraph connects to tools teams already use, including Slack, Linear, Notion, GitHub, Stripe, HubSpot, Granola, monday.com, Ramp, Airtable, Intuit, Mailchimp, Dropbox, PostHog, and Shopify, pulling context from them to draft content. Users can start from prebuilt "playbooks," such as changelog release notes written from commits, thought-leadership posts, customer-story case studies drafted from a customer's own words, industry-insight commentary with sources attached, and content repurposing across channels, or ask the agent for something specific.

The workflow follows a draft, distribute, maintain, approve loop. Paragraph drafts in the company's voice from founder notes or product docs, distributes one idea across a blog, newsletter, and social channels at once, maintains the site by refreshing older posts, updating internal links, and re-sending campaigns to non-openers, and leaves every page, send, or workflow for a human to approve before it ships. Analytics on views, signups, and subscriber growth feed back into what the agent proposes next.

Beyond the web app, Paragraph offers a REST API, a CLI, an MCP server for connecting AI agents, a TypeScript SDK, and installable "skills" so agents such as Claude Code, ChatGPT, or Codex can use Paragraph directly.

Pricing includes a permanent free plan with 500 monthly agent credits, and three paid tiers: Starter at $16/month ($192 billed yearly), Growth at $80/month ($960 billed yearly), and Scale at $160/month ($1,920 billed yearly). Each paid tier raises the monthly agent-credit allowance (1,500, 8,500, and 17,500 respectively) and unlocks smarter models alongside the fast models used on the free plan.

  • CategoryAI Writing Assistants
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • AI agent that drafts posts, newsletters, social copy, and landing pages from a company's own context

  • Human-approval step before anything the agent drafts is published

  • Prebuilt playbooks for changelogs, thought leadership, customer stories, industry insights, and content repurposing

  • Integrations with Slack, Linear, Notion, GitHub, Stripe, HubSpot, and other workplace tools to pull in source material

  • One-idea-to-many-channels distribution across blog, newsletter, and social platforms

  • Ongoing site maintenance: refreshing old posts, updating internal links, and re-sending campaigns to non-openers

  • Analytics on views, subscriber growth, and traffic sources feeding back into agent recommendations

  • Developer surface with a REST API, CLI, MCP server, TypeScript SDK, and installable agent skills

  1. Connect your tools: Link Slack, Notion, GitHub, or other workplace apps so the agent can pull context.

  2. Pick a playbook: Choose a changelog, customer story, thought-leadership post, or another content type.

  3. Let the agent draft: Paragraph turns the connected context into a blog post, newsletter, or social copy.

  4. Review and approve: Check the draft before anything ships; nothing publishes without sign-off.

  5. Distribute across channels: Publish the approved piece to your blog, newsletter, and social accounts at once.

  6. Track and refresh: Use analytics to see what's working, and let the agent suggest updates to older posts.

  • Startup content marketing
  • Changelog announcements
  • Customer case studies
  • Cross-channel distribution

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