AI Productivity Workflows Series

Elena Daehnhardt

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Image credit: Illustration created with Midjourney, prompt by the author.

Image prompt

“An illustration representing cloud computing”

AI Productivity Workflows

A sequence focused on reliable day-to-day AI workflows that improve output quality and speed.

Posts in This Series

Part 1: Workflow Automation with n8n

11 Aug, 2025

Manual content pipelines inevitably fail at scale. After outgrowing brittle Python cron jobs, I migrated my infrastructure to n8n—a self-hosted, node-based orchestration layer. Here is the technical breakdown of configuring databases, managing OAuth2 security, and deploying AI-driven agents.

Part 3: Vibe Coding Wasn't Enough — The Lightweight System I Use to Turn AI Prompts into Deployed Apps

4 Mar, 2026

Vibe coding can generate working apps in minutes — but most don’t last. I replaced chaotic prompting with a simple, spec-driven AI workflow that turns ideas into reliable, deployed tools.

Part 5: Edge AI in Everyday Operations

19 Mar, 2026

Practical ways businesses can use Edge AI to make faster, local decisions without replacing existing systems or relying on constant cloud connectivity.

Part 6: How to Create a Weekly Menu with ChatGPT-5

4 Sep, 2025

This week, I let ChatGPT-5 into my kitchen. The result? A complete weekly meal plan for two people, tailored macros, batch-cooking flows, fridge-friendly PDFs, and even a laminated checklist with tick boxes.

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