Social Media Autopilot Blueprint

A complete architecture for a social media automation app — AI caption generation, hashtag suggestions, multi-platform scheduling, human approval gates, and static project files. 14 nodes, ready to export to Cursor or Claude Code.

What this app does

A social media automation app helps creators and brands post consistently across platforms — Instagram, X/Twitter, LinkedIn, Facebook — without spending hours writing captions and scheduling manually. The AI generates captions and hashtags from a brief description, schedules posts at optimal times, and routes everything through a human approval gate before publishing.

This blueprint maps out 14 nodes across frontend pages, backend APIs, AI prompts, a database, a scheduler, a human checkpoint, and static files (README, .env, robots.txt, llms.txt). It's designed for a solo creator or small marketing team managing 3-5 social accounts.

Architecture diagram

Node breakdown

Frontend pages

• Content Calendar — calendar view of all scheduled and published posts across platforms. Drag-and-drop rescheduling, filter by platform and status. Color-coded by platform (blue for LinkedIn, purple for Instagram, etc.).
• Post Composer — write or generate posts. Enter a brief description, select platform, AI generates caption + hashtags. Edit before approving. Preview how the post will look on each platform.
• Settings — connect social accounts (OAuth for each platform), set default posting times, configure brand voice (professional, casual, humorous), set approval workflow preferences.

Backend APIs

• Posts API — GET /api/posts (list with status and platform), POST /api/posts (create with caption, media, platform, scheduled time), PATCH /api/posts/:id (edit, approve, reschedule), DELETE /api/posts/:id.
• Social Accounts API — GET /api/accounts (connected accounts with platform and auth status), POST /api/accounts/connect (OAuth flow), POST /api/accounts/:id/publish (push approved post to platform).

AI prompts

• AI Caption Generator — input: brief description, platform, brand voice setting, character limit; task: generate a platform-appropriate caption; output: caption text (within platform limits: 280 chars for X, 2200 for Instagram, 3000 for LinkedIn).
• AI Hashtag Suggester — input: caption text, platform, niche/category; task: suggest relevant hashtags optimized for reach; output: 5-15 hashtags ranked by relevance. Excludes banned or spammy hashtags.

Human checkpoint

• Approval Gate — before any AI-generated post is published, a human reviews it in the Post Composer. They can edit the caption, swap hashtags, change the scheduled time, or reject. Nothing posts without explicit approval.

Database & services

• Social DB (PostgreSQL) — tables: posts (id, user_id, caption, media_url, platform, status, scheduled_at, published_at, created_at), social_accounts (id, user_id, platform, access_token, account_handle, connected_at), hashtags (id, post_id, tag), users (id, email, name, brand_voice, created_at).
• Post Scheduler — cron job that checks for approved posts due for publishing. Calls the Social Accounts API to push each post to its platform at the scheduled time. Handles rate limits and retries failed posts.

Static files

• .mdREADME.md — project documentation with setup instructions, tech stack overview, environment variable list, available scripts (dev, build, start), and project structure. The first thing any developer or AI coder reads when opening the project.
• .env.env — environment variables for the app: OPENAI_API_KEY (caption generation), DATABASE_URL (PostgreSQL connection), SESSION_SECRET (auth sessions), INSTAGRAM_CLIENT_ID / INSTAGRAM_CLIENT_SECRET, TWITTER_CLIENT_ID / TWITTER_CLIENT_SECRET, LINKEDIN_CLIENT_ID / LINKEDIN_CLIENT_SECRET, NEXT_PUBLIC_APP_URL. Never committed to Git — include a .env.example with placeholder values.
• robots.txtrobots.txt — SEO crawling rules for the public-facing pages. Allows crawlers to index the landing page and login, blocks /api, /admin, /settings, and /calendar (authenticated routes that should not appear in search results).
• llms.txtllms.txt — AI discovery file at the site root. Gives AI assistants a structured summary of the app: what it does, key documentation links, public API endpoints (if any), and onboarding links. Like robots.txt but for AI models instead of search engines.

New to File nodes? Our File Types in App Development guide explains every file type in the dropdown — what it is, when to use it, and how it exports into your blueprint prompt.

How it works end-to-end

1. User connects social accounts in Settings via OAuth
2. User opens Post Composer and enters a brief: "New product launch — eco-friendly water bottle, 20% off this week"
3. Selects platform (Instagram) and clicks "Generate"
4. AI Caption Generator creates a caption in the brand's voice, within Instagram's character limit
5. AI Hashtag Suggester generates relevant hashtags for the niche
6. The generated post appears in the Post Composer for review
7. User reviews at the Approval Gate — edits caption, swaps hashtags, picks a time
8. Post is saved as "approved" in the Social DB and appears on the Content Calendar
9. At the scheduled time, the Post Scheduler pushes the post to Instagram via the Social Accounts API
10. Post status updates to "published" on the calendar

The Approval Gate is what makes this safe for brands. AI-generated social content can be off-brand, insensitive, or factually wrong. A human reviews every post before it goes live — no exceptions.

Bluemoonkey input prompt

This is what you paste into Bluemoonkey's canvas — a plain-language description of what the app should do. Bluemoonkey's AI advisor reads this and generates the full node architecture (pages, APIs, database, AI prompts, checkpoint, scheduler, and files) shown above. You don't need to write anything technical here — just describe what you want in your own words.

A social media app for creators managing 3-5 accounts on Instagram, X, LinkedIn, and Facebook.

I need a Content Calendar page showing scheduled and published posts, with drag-and-drop rescheduling and filters by platform and status.

A Post Composer page where I type a short brief, pick a platform, and AI writes a caption and hashtags for me. I can edit before approving. Show a preview of how it'll look on that platform.

A Settings page to connect my social accounts (OAuth), set default posting times, and choose a brand voice (professional, casual, or humorous).

AI should generate captions that fit each platform's character limit, and suggest 5-15 relevant hashtags, avoiding spammy ones.

Every AI-generated post must be reviewed and approved by me before it goes live — nothing posts automatically without approval.

A scheduler should check every 15 minutes for approved posts that are due, and publish them to the right platform automatically, retrying if it fails.

Also add a README file explaining setup, a .env file for my API keys and social login credentials, a robots.txt so search engines don't index my private pages, and an llms.txt describing the app for AI tools.

After Bluemoonkey generates the blueprint, review each node — adjust wording, check the File Type dropdown on the 4 file nodes, and confirm the architecture matches what you need. From there, Bluemoonkey's canvas gives you a build-ready prompt for Cursor or Claude Code with one click — no manual prompt writing required.

New to planning? Read how to plan an app before coding. Learn about file types in our File Types in App Development guide.

FAQ

What is a social media automation app?

A social media automation app schedules and publishes posts across platforms, uses AI to generate captions and hashtags, and includes human approval gates before anything goes live. It helps creators and brands post consistently without spending hours writing and scheduling manually.

Can I export this blueprint to Cursor?

Yes. Paste the Bluemoonkey input prompt above into the free canvas, let the AI advisor build out the blueprint, then click Export. Bluemoonkey generates a structured, Cursor-ready prompt for you automatically — no manual prompt writing needed.

How many nodes does this blueprint have?

This blueprint has 14 nodes: 3 frontend pages, 2 APIs, 2 AI prompts, 1 human checkpoint, 1 database, 1 scheduler, and 4 static files (README.md, .env, robots.txt, llms.txt). Every node is editable in the free canvas.

What are File nodes in this blueprint?

File nodes declare static files your app needs — like README.md for documentation, .env for API keys and OAuth credentials, robots.txt for SEO crawling rules, and llms.txt for AI discovery. Each File node specifies a path, file type from the dropdown, and a purpose. When you export the blueprint, these become structured sections in the prompt that tell the AI coder exactly what files to create, what format to use, and what content to include. See our File Types guide for a full explanation of each type.

Do I need to write the Cursor prompt myself?

No. You only write the short, plain-language prompt above and paste it into Bluemoonkey's canvas. Bluemoonkey's AI advisor turns it into the full node architecture, and when you click Export, it generates the structured, technical prompt for Cursor or Claude Code automatically.

Does it support multiple social platforms?

Yes. The Social Accounts API uses OAuth to connect each platform. The AI Caption Generator adjusts output based on platform limits (280 chars for X, 2200 for Instagram, 3000 for LinkedIn). Each post specifies which platform it targets.