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The ProtoFlow blog.
Source-checked writing on AI PCB design: what the tools actually do, how to prompt them, and how to get from an idea to a clean KiCad project.
ESP32 Schematic Generator: Drafting an ESP32-S3 Board from Plain English
An ESP32 board is mostly the same scaffolding every time: a 3.3V rail, USB, strapping pins, and decoupling. That repetition is exactly what an AI schematic generator drafts well, here is how to use one without shipping a board that will not boot.
Read articleAI PCB Design in 2026: What's Real and What's Hype
An honest, stage-by-stage map of where AI actually helps in PCB design today, from plain-English schematic capture to autorouting, and where you still need an engineer in the loop.
Schematic Capture vs PCB Layout vs Routing: What AI Automates
Schematic capture, layout, and routing are three different problems with different inputs, outputs, and failure modes. Here is what each stage produces, where skipping a check gets expensive, and which AI tools target which stage today.
How to Write a Great Prompt for AI Schematic Generation
AI schematic capture is only as good as the prompt you feed it. Here is a repeatable structure for describing a circuit, three worked before-and-after examples, and how to refine and verify the result instead of trusting the first pass.
From Idea to KiCad in Under an Hour: An AI-First Flow
We take a concrete ESP32-S3 environmental sensor from a one-paragraph brief to a manufacturable KiCad project in under an hour, then hand off to layout. AI does the heavy lifting on schematic capture, but every net still passes through your judgment before fab.
The Real Cost of "Free" AI PCB Tools
Every AI PCB tool says "free" on the landing page. The word hides four very different business models. Here is how to read the fine print before a credit meter or a gated export button surprises you mid-project, and how to assemble a stack that stays free where it counts.
KiCad AI in 2026: Copilots, Plugins, and Generators That Actually Work
KiCad ships no AI of its own, yet "KiCad AI" is one of the fastest-growing searches in EDA. Here is what actually exists: what plugins can do inside the editor, what generation tools can hand KiCad from outside, and where the library problem is already solved.
ESP32 KiCad Symbols, Footprints & 3D Models: Every Variant, One Guide
The ESP32 family has dozens of variants and the official KiCad libraries cover only some of them. Here is the variant map, verified files for the ones engineers actually use, and the antenna and decoupling rules the footprint cannot enforce for you.
AMS1117-3.3: Pinout, Real-World Limits, and Free KiCad Files
The AMS1117-3.3 is on half the dev boards ever made, and it is a great part exactly as long as you respect its dropout, its capacitors, and its thermals. Here is the honest datasheet tour, plus verified KiCad files so you never draw its footprint by hand.
AI Circuit Board Design: From Prompt to Fabricated PCB in 2026
AI circuit board design stopped being a demo somewhere in the last two years. The full chain, prompt to schematic to placed and routed board to Gerbers, now runs in real tools. Here is what each stage genuinely does, where it still fails, and how to use it without shipping a board that does not work.
AI Circuit Design in 2026: What Actually Works (and What Is Hype)
AI circuit design splits into two very different claims: "AI drafts the standard scaffolding of your circuit in seconds" (true, and worth adopting today) and "AI invents novel circuits" (mostly hype). Knowing which claim you are buying decides whether the tools save you a day or cost you a respin.
KiCad Footprint Generator: Datasheet PDF to Footprint in Minutes
Footprint work is the least loved hour in every KiCad project: read the land-pattern drawing, count pads, type dimensions, hope you did not mirror pin one. Generators have gotten genuinely good at this, and the newest ones start from the datasheet PDF itself. Here is the full toolbox and when to use which.
Flux.ai Pricing in 2026: Plans, AI Credits, and What It Actually Costs
Flux.ai’s pricing has three moving parts, per-editor seats, metered AI compute units, and plan-gated features like private projects and export, and the total depends heavily on how you work. Here is the structure explained plainly, what "free" includes, and the math to run before committing a team.
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