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Earlier this year I wrote about prompt engineering — how to talk to AI better. I thought that was the main thing.
Since then my understanding has shifted. Context engineering — everything you give the model — matters more than the prompt itself.
My Zettelkasten in Obsidian is becoming key to this. The knowledge is there. Now it's about using it well with AI.
Post: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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Earlier this year I wrote about prompt engineering — how to talk to AI better. I thought that was the main thing.
Since then my understanding has shifted. Context engineering — everything you give the model — matters more than the prompt itself.
My Zettelkasten in Obsidian is becoming key to this. The knowledge is there. Now it's about using it well with AI.
Post: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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When did it click for you that prompt engineering wasn't the whole picture?
For me, it happened gradually. I noticed Claude was giving me more personalised responses over time — not because my prompts got better, but because it had more context about me and how I work.
That shift from "what should I say?" to "what does the model need to know?" changes everything.
What's your experience been? https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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There's a useful way to think about the prompt vs context distinction:
Prompt engineering asks: what should I say?
Context engineering asks: what should the model know?The scope, mindset and goal are completely different. Once you see it this way, the importance of building good context becomes obvious.
More in my latest post: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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There's a useful way to think about the prompt vs context distinction:
Prompt engineering asks: what should I say?
Context engineering asks: what should the model know?The scope, mindset and goal are completely different. Once you see it this way, the importance of building good context becomes obvious.
More in my latest post: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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There's a useful way to think about the prompt vs context distinction:
Prompt engineering asks: what should I say?
Context engineering asks: what should the model know?The scope, mindset and goal are completely different. Once you see it this way, the importance of building good context becomes obvious.
More in my latest post: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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There's a useful way to think about the prompt vs context distinction:
Prompt engineering asks: what should I say?
Context engineering asks: what should the model know?The scope, mindset and goal are completely different. Once you see it this way, the importance of building good context becomes obvious.
More in my latest post: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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There's a useful way to think about the prompt vs context distinction:
Prompt engineering asks: what should I say?
Context engineering asks: what should the model know?The scope, mindset and goal are completely different. Once you see it this way, the importance of building good context becomes obvious.
More in my latest post: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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I spent time learning prompt engineering — how to structure asks to get better results from AI. But prompt engineering turned out to be just part of the picture.
The bigger concept is context engineering: providing the model with everything it needs to give you a useful response. System prompts, tools, background information.
New post exploring the difference: https://www.ctnet.co.uk/context-engineering-vs-prompt-engineering/
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Why start automating your PKM with boring admin tasks rather than something more exciting?
Because trust has to be earned. My AI PKM framework starts at Stage 0 — safe, reversible, administrative tasks where AI can help without touching what matters.
Updating an index is perfect for this. New post exploring both the skill and the framework it belongs to: https://www.ctnet.co.uk/claude-code-skills-obsidian-vault-index/
#PKM #Zettelkasten #Obsidian #AI #KnowledgeManagement #SecondBrain
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A Claude Code skill is a Markdown file that sits in your vault's .claude folder. It tells the model exactly how to approach a task — with examples, logic, and scripts it can run.
Unlike a quick chat prompt, a skill persists. Build it once, call it whenever you need it. My A-Z index skill took about 10 minutes to run last time: https://www.ctnet.co.uk/claude-code-skills-obsidian-vault-index/
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Keeping an A-Z index of Obsidian permanent notes by hand is the kind of task that quietly stops happening.
I built a Claude Code skill to keep it updated — about 10 minutes, runs at month-end. Here's how it works and why this kind of admin automation is the right entry point for AI in your vault: https://www.ctnet.co.uk/claude-code-skills-obsidian-vault-index/
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@CTNET i find that 9999 limit so stupid. I faced it but more immediately, because i wanted to use Tidal, migrated my content to them, and hit the wall. I switched to #deezer .
If useful: if find #deezer good, their artists retribution is better, but i only use it for some discoveries, because i purchase everything i can on #bandcamp (or #7digital as a backup plan)
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What would make you cancel a streaming subscription you'd been with for years?
For me, it wasn't the price or the catalogue. It was realising I couldn't trust the service to keep track of what I'd saved. My latest post explains:
https://www.ctnet.co.uk/why-i-cancelled-tidal/
What's your breaking point with streaming services?
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What would make you cancel a streaming subscription you'd been with for years?
For me, it wasn't the price or the catalogue. It was realising I couldn't trust the service to keep track of what I'd saved. My latest post explains:
https://www.ctnet.co.uk/why-i-cancelled-tidal/
What's your breaking point with streaming services?
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What would make you cancel a streaming subscription you'd been with for years?
For me, it wasn't the price or the catalogue. It was realising I couldn't trust the service to keep track of what I'd saved. My latest post explains:
https://www.ctnet.co.uk/why-i-cancelled-tidal/
What's your breaking point with streaming services?
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What would make you cancel a streaming subscription you'd been with for years?
For me, it wasn't the price or the catalogue. It was realising I couldn't trust the service to keep track of what I'd saved. My latest post explains:
https://www.ctnet.co.uk/why-i-cancelled-tidal/
What's your breaking point with streaming services?
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What would make you cancel a streaming subscription you'd been with for years?
For me, it wasn't the price or the catalogue. It was realising I couldn't trust the service to keep track of what I'd saved. My latest post explains:
https://www.ctnet.co.uk/why-i-cancelled-tidal/
What's your breaking point with streaming services?
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'Using any system or service is a matter of trust.'
That line from my latest post sums up why I left Tidal after years as a subscriber. A 9,999 track library cap I didn't know existed was enough to make me question everything.
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'Using any system or service is a matter of trust.'
That line from my latest post sums up why I left Tidal after years as a subscriber. A 9,999 track library cap I didn't know existed was enough to make me question everything.
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'Using any system or service is a matter of trust.'
That line from my latest post sums up why I left Tidal after years as a subscriber. A 9,999 track library cap I didn't know existed was enough to make me question everything.
-
'Using any system or service is a matter of trust.'
That line from my latest post sums up why I left Tidal after years as a subscriber. A 9,999 track library cap I didn't know existed was enough to make me question everything.
-
'Using any system or service is a matter of trust.'
That line from my latest post sums up why I left Tidal after years as a subscriber. A 9,999 track library cap I didn't know existed was enough to make me question everything.
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I'd been with Tidal for years. When I transferred my library across, it stopped at 9,999 tracks and wouldn't move.
I had no idea if the rest of my saved music had made it. That uncertainty was enough for me to cancel.
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One thing I noticed from my quarterly Claude vault analysis: the 30-minute review was useful, but the specification note I'd built with Claude beforehand was doing most of the work.
'That specification note is carrying a lot of the weight — it provides all the context the model uses.'
The AI is only as good as the context you give it. Full post: https://www.ctnet.co.uk/ai-obsidian-vault-analysis/
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Quick question for creative folks:
Where are you when your best ideas come to you?
Mine are specific:
- Early mornings (just-waking state)
- During walks/rhythmic movement
- While working on unrelated tasksThat's the Illumination stage—when unconscious work suddenly surfaces.
Everyone's different. Shower? Cooking? Conversations?
Drop yours below!
(More on the framework: https://www.ctnet.co.uk/unleashing-your-creative-potential-the-four-stages-of-creativity/ )
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After publishing my Spotify review, I'm curious about your favourite music streaming service and why! What features are most important to you? Let me know in the replies! 👇 (If you missed my Spotify review, you can find it here: https://www.ctnet.co.uk/spotify-review-2025/ #MusicStreaming #TechDiscussion #YourOpinion
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Just published my guide on AI prompt engineering! If you've ever found yourself frustrated with generic AI responses, this post is packed with practical advice and my personal journey. Discover how to craft better prompts and get the most out of AI.
https://www.ctnet.co.uk/unlock-the-power-of-ai-your-beginners-guide-to-prompt-engineering/
#ArtificialIntelligence #LearnAI #TechExplained #DigitalSkills
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It's here! 🎉 My new blog post, "Unlock the Power of AI - Your Beginner's Guide to Prompt Engineering," is now live. Learn essential techniques to communicate effectively with AI, achieve better outcomes, and boost your productivity. Dive in and master your AI interactions! 👇
https://www.ctnet.co.uk/unlock-the-power-of-ai-your-beginners-guide-to-prompt-engineering/
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The integration of Gemini CLI with Obsidian wasn't without its bumps, especially when dealing with newer features like Obsidian Bases. It's a great reminder that AI is a rapidly evolving field. My blog post breaks down the debugging process and lessons learned.
Learn more: https://www.ctnet.co.uk/gemini-cli-and-obsidian-bases-a-showcase-of-llm-strengths-and-weaknesses-in-2025/
#LLMdevelopment #Obsidian #GeminiCLI #TechBlogging #AIchallenges