99% of my agent projects follow this structure Not because I'm lazy ... because it works If you've ever struggled with structuring your agent systems for scale (and sanity 😅), this cookiecutter migh…

LinkedIn Content Strategy & Writing Style
ML / AI Engineer | Founder @ The Neural Maze - Just a guy who builds AI Systems that actually work
1 person tracking this creator on Viral Brain
Miguel Otero Pedrido positions himself as a battle-hardened practitioner who rejects "AI hype" in favor of production-grade engineering. His content strategy centers on the transition from fragile local demos to scalable, event-driven architectures, specifically championing the role of the AI Systems Engineer. He distinguishes himself by focusing on the "unglamorous" technical debt of AI—deployment, observability, and finetuning—rather than surface-level prompting. There is a powerful intersection between his educational transparency and collaborative building, as he frequently partners with other engineers to release open-source projects and deep-dive courses that prioritize "spice" (technical complexity) over generic industry headlines.
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99% of my agent projects follow this structure Not because I'm lazy ... because it works If you've ever struggled with structuring your agent systems for scale (and sanity 😅), this cookiecutter migh…

Not an 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫. Not an 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫. I'm turning you into an 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 👇 Yes, I probably just invented a new job title, right? 😅 👉 𝐓𝐡𝐞 𝐀𝐈…

Want to become an ML / AI engineer? What I wish someone told me 9 years ago 👇 When people ask me how to break into the world of AI, I like to use a simple metaphor: 🪜 𝐓𝐡𝐞 𝐀𝐈 𝐋𝐚𝐝𝐝𝐞𝐫 Ea…

Knowing vLLM is no longer optional ... This year, it's all about real-world deployments 👇 In our 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠 𝐒𝐞𝐬𝐬𝐢𝐨𝐧𝐬, Antonio Zarauz Moreno and I don't stop at training models. 𝐖…

I've never stopped reading books 📚 So here it is: 𝐦𝐲 𝐛𝐨𝐨𝐤𝐬𝐡𝐞𝐥𝐟 (with links!) I love learning by coding. I love reading Substack articles. I love watching technical videos. But sometimes,…

99% of my agent projects follow this structure Not because I'm lazy ... because it works If you've ever struggled with structuring your agent systems for scale (and sanity 😅), this cookiecutter migh…

7.0 posts/week
Posts / Week
1.1 days
Days Between Posts
4
Total Posts Analyzed
HIGH
Posting Frequency
187%
Avg Engagement Rate
STABLE
Performance Trend
330
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.86/10
Uniqueness Score
YES
Question Usage
0.25%
Response Rate
Writing style breakdown
<start of post>
The "Localhost Trap" is killing your AI career
Here is how to escape it 👇
Building a demo is easy.
You write a few lines of Python, call an API, and see a response in your terminal.
But a demo is not a system.
❌ The API goes down
❌ The user inputs gibberish
❌ 1,000 people click "submit" at the same time
Most people spend their time "painting" demos.
I want you to start 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐬.
👉 𝐓𝐡𝐞 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐌𝐢𝐧𝐝𝐬𝐞𝐭
If you want to move from "AI Enthusiast" to 𝐒𝐞𝐧𝐢𝐨𝐫 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, you need to master the unglamorous stuff:
✅ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: knowing why it broke before the user does
✅ 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: managing complex flows without spaghetti code
✅ 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: moving code from your laptop to the cloud (for real)
This is exactly what we cover in the latest edition of The Neural Maze.
We aren't talking about the latest "insane" model release.
We are talking about 𝐃𝐨𝐜𝐤𝐞𝐫, 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, and 𝐂𝐈/𝐂𝐈 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬.
The stuff that actually works.
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I write about building AI systems that actually make it to production in my newsletter.
🔗 𝐉𝐨𝐢𝐧 𝟓,𝟎𝟎𝟎+ 𝐛𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐡𝐞𝐫𝐞: https://lnkd.in/dB4hWgrJ
Stop scrolling. Start building. 🛠️
<end of post>
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