We are on track for publication in October. While you wait, there is some more bonus content from the book that you can read for free now and PCBWay are providing a special discount to the first 200 people who order the custom PCBs using the code below. These Medium links will let you read the material without needing to be a member.
Free articles
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Bonus Content Chapter 13, Project 32: Battery Monitor Shield
This article extends Project 32: Build and Test the Battery Monitoring Shield. This project includes a custom printed circuit board which handles battery charging, a programmable load for discharging, and a fuel gauge that measures voltage, current, temperature, and SOC during the charge and discharge cycles.
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The Language LLMs Need Is Not the One Being Built
While vibe coding my latest application I got to thinking about whether someone needed to create a computer language which explicitly targets LLMs. Assuming we get to a point where you don’t need to review the underlying code (a big assumption I know), then does the language used matter as long as you get the required outcome?
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The Correct Path to AGI?
Recursive self-improvement, Google’s world models, and what the jagged road to AGI looks like.
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Let me know if you have any problems accessing the links.
More Bonus Content:
The following article contains additional content for the AI MIDI Synthesizer project from Chapter 11 of the book, explaining how to add a 5-Pin MIDI output to the Raspberry Pi Pico Keyboard.
PCBWay Offer:
Five of the projects in my book on Embedded AI are built using custom PCBs: the Noise Suppression carrier board for the Raspberry Pi Pico 2, the Pico MIDI Keyboard and VS1053 Synthesizer that form the AI music project, and the Battery Monitor and Display & Logging shields that make up the battery characterization rig. These are circuits that do not work well on a breadboard, so each was designed as a proper board with the Gerbers, schematics, and bills of materials released under the MIT license. Getting them manufactured is straightforward: all five are shared projects on PCBWay with the fabrication files already attached, so ordering takes a few clicks and boards typically arrive within one to two weeks. To make building the projects even more affordable, PCBWay is offering readers a discount.
PCBWay is offering 200 readers of Embedded AI a $10 discount on orders over $30 (one use per user). Redeem the code EmbeddedAI2026 at checkout. The code is valid until April 30, 2027 (once activated, it must be used within six months). Each board costs around $5 but shipping is roughly $25 (depending on your location), so order the boards together to minimise freight, and the combined order will clear the $30 minimum.
What to expect from this list:
You'll receive occasional updates as the book moves toward publication. That includes the early access announcement, any new companion content I publish, and launch day details. I promise not to abuse your inbox!
In the meantime, if you need something to read I write regularly about embedded AI on Medium. I am also active on LinkedIn and X.
Thanks for your interest in the book. If you have questions about the content or the projects, please get in touch.
David Such
Reefwing Software
