About
Who writes Signal Over Noise, and why.
Who writes it, and why
I'm Jim Christian, an integrator. For 30+ years I've taken complex things and made them work together, for real people, in the real world. I live in Valencia, Spain, with my family.
What I care about is helping people bring technology into their lives well — where it's genuinely needed, and where it can do the most good. Not tech for its own sake, not change to look modern. Sometimes that means AI; just as often it means something far simpler.
The tech world is accelerating. This is my attempt to slow things down a little: to pick apart the hype and look for the reality and the truth in the messages — primarily around AI, and how it impacts us all.
How it works
I publish to the site as things happen, and send one email a week compiling that week's posts. Everything is free, in full — no paywall on the writing, ever.
Supporting it costs €7 a month. It keeps this independent and your copy ad-free — that's all of it. The writing itself stays free for everyone either way.
Where to start
If you're new here, start with the path that matches how you work.
If you run a business
Running a business and trying to use AI without wasting time, budget, or trust.
Read the practical pieces on cost, trust, and decision-making under pressure.
If you build with AI
Building with agents, workflows, MCP, or model-based tools inside real operating systems.
Start with agents, MCP, coding workflows, and infrastructure choices.
If you worry about risk
Watching risk, liability, and security more closely than the average AI optimist.
Begin with security, liability, and what AI systems can really access or break once deployed.
What it covers
- Security & Risk What breaks, who is liable, and what an agent can reach once it is already inside. 96
- Agents & Tooling Agents, MCP, and wiring AI into the systems you already run. 124
- Writing & Thinking Prompting, writing, memory, and whether the model is telling you the truth. 90
- Building Making things with AI: coding, local models, and open weights. 34
- The Industry The labs, the money, and what enterprises are actually doing. 127