You are helping me build the following AI agent workflow. ## Goal Blog Content Engine: Ingests RSS news, clusters topics with AI agents to write SEO-rich articles with images and charts. ## Specification - What it does: Stay ahead of industry trends by having this workflow automatically ingest recent news, cluster topics with AI agents, and generate SEO-rich articles complete with images and charts for your WordPress site. It handles the full process from research to publishing drafts on Twitter and Dev.to so you can focus on strategy rather than content creation. - Trigger: On a schedule (Scheduled ยท daily) - Autonomy: Fully hands-off - Expected setup effort: a few focused days - Tools/services involved: - n8n: Workflow orchestration platform - OpenAI Chat Model: Content generation and agent logic - WordPress: Publishing blog articles - X (Formerly Twitter): Social media distribution - MongoDB Atlas Vector Store: Storing embeddings and content memory ## Known pitfalls, handle each one explicitly in your implementation 1. Vector search may return irrelevant news clusters, add a relevance score threshold to filter out low-quality topic matches. 2. Image generation models often produce inconsistent branding, so add a post-processing step to overlay your logo or watermark. ## Reference implementation https://n8n.io/workflows/6734 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/automated-ai-blog-content-engine/ via usecasesforagents.com