AI Productivity Workflows SeriesElena Daehnhardt |
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.
Series Progress
4 of 8 posts published
All Posts in This Series
Part 1: Workflow Automation with n8nManual 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. |
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Part 2: Build a Private AI Lab on Your Own HardwareComing SoonA step-by-step guide to running large language models entirely on your own hardware using Ollama and Open WebUI, then adding a private RAG pipeline so your AI answers questions from your own documents — including M1 Mac specifics throughout. This post is currently being written and will be published soon. |
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Part 3: Vibe Coding Wasn't Enough — The Lightweight System I Use to Turn AI Prompts into Deployed AppsVibe 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. |
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Part 4: Edge AI Libraries for PythonComing SoonChoosing the right Python library for Edge AI is not about picking the most popular one — it is about matching the tool to the hardware and the decision it needs to make. Here is how to think through it. This post is currently being written and will be published soon. |
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Part 5: Edge AI in Everyday OperationsPractical ways businesses can use Edge AI to make faster, local decisions without replacing existing systems or relying on constant cloud connectivity. |
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Part 6: How to Create a Weekly Menu with ChatGPT-5This 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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Part 7: Organising Ideas and Planning with Notion AIComing SoonA walkthrough of how I use Notion AI to organise blog ideas, plan engineering posts, and support learning workflows — with an honest look at where it earns its keep. This post is currently being written and will be published soon. |
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Part 8: Building a Private, High-performance AI Lab Using the Open-Source ToolsComing SoonShort 1–2 sentence summary. This post is currently being written and will be published soon. |
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Getting Started
New to this series? Start with Part 1: Workflow Automation with n8n.
Each post builds on the previous one, so reading them in order is recommended. Each post also works on its own if you need to jump to a specific topic.