Guides, field notes, and playbooks

Deep dives on print, reflow, inspection, twins, orchestration, and physical-AI robotics for electronics manufacturing.

Why reflow is still a black art, and how to end it

The physics of joint formation, why hand-built profiles drift, and what closed-loop control changes.

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INSPECT · U14 FPY 99.4% DEFECT RISK LOW

Latest writing

Why reflow is still a black art, and how to end it

The physics of joint formation, why hand-built profiles drift, and what closed-loop control changes.

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Cutting the false-call tax without missing escapes

How learned AOI/AXI models beat static thresholds on both false calls and real defects.

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NPI without burning boards

Qualifying paste, placement, and reflow recipes in a physics twin before the first article.

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Graduated autonomy on a high-reliability line

Shadow, recommend, approve, closed-loop, and how each level earns the next.

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The closed-loop corpus as a manufacturing moat

Why writing every action to a shared corpus compounds into defensibility.

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Physical AI on the factory edge

Deploying 20 to 50 ms inference on Jetson and IGX across a live SMT line.

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Find what you need

Print & place

SPI, paste volume, area ratio, and placement offset control.

Reflow

Thermal profiles, joint formation, and selective soldering.

Inspection

AOI, AXI, BGA voids, coating, and false-call reduction.

Digital twin

Physics simulation, recipe optimization, and calibration.

Orchestration

Yield, line balancing, and test triage.

Robotics

Handling, depaneling, and box-build with Isaac Sim.

However you learn best

Guides

Step-by-step playbooks for each stage of the loop.

Webinars

Live and on-demand sessions with our engineers.

Case studies

Real outcomes from lines running Circuex.

Benchmarks

How to measure first-pass yield and false-call rate honestly.

6Topic areas
20msEdge inference / tile
4Loop stages
99.4%First-pass yield
"
The playbooks alone reframed how our team thinks about yield. Then the platform made the reframing real.
MEManufacturing Engineer, Industrial electronics

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Monthly field notes on physical AI for electronics manufacturing. No spam.

Is the content gated?
Most field notes are open. A few deep benchmarks and case studies are shared under NDA.
Can you present to our team?
Yes. Book a session and we'll tailor a briefing to your line.

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