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Hermes Research to X Image Posts w/ Claude & Buffer (n8n)

Hermes Research to X Image Posts w/ Claude & Buffer (n8n)

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Hermes Research to X Image Posts w/ Claude & Buffer (n8n)

Hermes Research to X Image Posts w/ Claude & Buffer (n8n)

Regular price £3.99
Regular price £3.99 Sale price
SAVE Sold out

Turn Hermes X research into scheduled, editor-reviewed image posts—automatically

This n8n workflow converts Hermes Agent research on X topics into original, editor-reviewed image posts. It drafts post text with Anthropic Claude, generates matching PNG images with OpenAI Images, and—once approved—publishes on a timed schedule through Buffer.

What this workflow does

  • Starts from an n8n Form submission (or a manual synthetic demo) with a research topic.
  • Queries a Hermes research server for recent X posts and X articles, then validates citations, dates, engagement thresholds, quotas, and removes duplicates to create an eligible shortlist.
  • Stores candidates in a companion journal service and returns single-use review URLs for editor approval.
  • Optionally notifies Discord with a button that links to each candidate’s private review page.
  • Generates or approves via webhook callback: when the journal calls back with a generate/approve action, the workflow claims the action once and verifies the selected Buffer channel is connected to X.
  • For generation, it drafts original X post text and an image prompt with Anthropic Claude, generates a matching PNG using OpenAI Images, and saves the immutable draft and image in the journal for final review.
  • For approval with a scheduled UTC time, it publishes the approved image and creates a scheduled X post in Buffer, then records the Buffer result for reconciliation if needed.

Use cases

  • SaaS teams turning ongoing Hermes topic research into consistent visual X campaigns.
  • Automation engineers building an approval-gated content pipeline with Claude + OpenAI image generation.
  • Operators scheduling “review-first” social posts with Buffer, backed by a journal audit trail.

Technical details

  • n8n components: if, set, code, form, webhook, sticky note
  • Core services: Hermes research server, Anthropic Claude, OpenAI Images, Buffer (X scheduling)
  • Optional: Discord notifications with review-link buttons
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