AI Market Briefing Automation with n8n: 5-Source to Delivery

About this course

This course contains the use of artificial intelligence.

Every weekday morning, traders and finance creators lose 30 minutes hopping between sites: equities, crypto, treasury yields, macro calendars, overnight headlines. In this course you'll build — and deeply understand — a production n8n workflow that does all of it for you: at 7:45 AM it pulls five data sources in parallel, normalizes them into one clean envelope, hands them to an AI analyst bound by a contract-grade prompt, validates the AI's output with a deterministic gate, and delivers a structured English market briefing to Telegram, Discord, and Postgres. If a source dies, the pipeline degrades gracefully and tells the truth about it. If the AI misbehaves, nothing ships.

This course treats the official n8n template #19457 like professional engineers, not tourists. All seven Code nodes were ported into a test harness and verified with 53 assertions; the full pipeline ran end-to-end against a real DeepSeek model with 100% data fidelity. You'll learn the four quirks we found in the template's code — because they're exactly the kind of thing that bites you in production.

What makes this course different:

• The normalization pattern — wrap any unruly API into a four-state envelope (ok / error / empty / invalid) with sanitized errors safe to feed into prompts
• Prompt-as-contract engineering — a 2,500-word disciplined prompt teardown plus the validator node that enforces its output schema by execution
• Real failure drills — trim a paid data source, add a sixth source, swap models, localize the briefing language
• Near-zero running cost: DeepSeek ≈ $0.002/run, three free-tier keys, one keyless source

Course structure: 6 sections, 12 lectures, ~33 minutes of dense video plus written chapters, exercises at three difficulty tiers, and the complete importable workflow JSON.

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