Social Media Agent

Problem

Publishing cadence collapses when content planning, multi-platform formatting, and approval workflows are manual. Teams either post inconsistently or sacrifice quality for quantity, and performance data rarely feeds back into the creation process.

Solution

Build a content pipeline that takes a central brief, generates platform-specific variants (LinkedIn, X, Instagram), routes through approval workflows, and uses engagement data to optimize future prompts.

Implementation Steps

1. Create content calendar and brief templates

   Define weekly publishing cadence, content pillars, and brief templates that capture topic, angle, target audience, and CTA per post.

   Tip: Define a measurable success metric and review weekly to improve quality and cost.

2. Generate platform-specific variants

   Tailor each post for platform constraints: LinkedIn (professional tone, 1300 chars), X (conversational, 280 chars), Instagram (visual-first captions).

   Tip: Generate 2-3 variants per platform and let the team pick. This is faster than perfecting a single draft.

3. Build approval routing

   Route drafts to the appropriate approver by content type. Require sign-off before any post enters the publishing queue.

4. Connect scheduling tools

   Push approved posts to Buffer, Hootsuite, or native platform schedulers via n8n or Zapier with fallback windows for missed slots.

   # Queue post via scheduling API
   await scheduler.create_post({
       platform: 'linkedin',
       content: approved_draft.text,
       media: approved_draft.image_url,
       scheduled_at: next_available_slot('linkedin')
   })

5. Track performance and optimize

   Collect engagement metrics (impressions, clicks, replies) and feed high-performing posts back as few-shot examples for future generation.

Recommended combos

FAQs