In the right scenarios, it’s already delivering sharper reasoning, smarter reviews, and more accurate design decisions than anything we’ve shipped before. We wanted to get it into your hands immediately so you can explore what’s possible alongside us. It’s early, it’s raw, and we want you to push it. Break it. Tell us where it shines.
You can start using it right away. Open any project in Flux and launch Copilot. Click the model dropdown at the top of the chat panel, select “Next-gen” and then give it a real challenge. Some great starter prompts to see its strengths include:
“Perform a top-to-bottom schematic review for correctness, completeness, and robustness. Assess power, clocks/resets, signal interfaces, analog paths, protection, and passive choices.”
“Replace all low-stock parts with alternatives that meet the same constraints.”
The upgrade isn’t just that GPT-5 is a newer model. It brings a different caliber of intelligence to Copilot:
These improvements land harder in Flux because Copilot already has deep, live context on your design—down to parts, pins, nets, properties, constraints, and stackups—so reinforcement models and LLMs can work side-by-side from the canvas up to system architecture. And because Flux is built for agentic workflows—stepwise actions, constraint-aware edits, and iterative design loops right where you work—GPT-5 isn’t starting from scratch; it applies improved reasoning directly to your schematic or layout. Layered on top is a knowledge base of industry best practices and embedded design/process checks, so your AI partner starts from seasoned experience and turns that context into answers that are immediately relevant and actionable.
In just 48 hours of testing, we saw moments that made us stop and say, “This is new.”
Design a low-noise microphone preamplifier for an electret condenser mic feeding a 24-bit ADC. You must calculate the bias network, gain-setting resistors, coupling capacitors, input high-pass cutoff, output anti-aliasing RC, and decoupling layout. Follow the op-amp and microphone capsule datasheets, ADC input requirements, and industry best practices. It will be integrated into a design. Supply: 3.3V analog rail. Mic bias: 2.0 V through resistor, current ~0.5 mA. Target gain: 20 dB to 40 dB switchable. Bandwidth: 20 Hz to 20 kHz. Input noise target: as low as practical. Include pop-suppression considerations and star-grounding strategy.
In this case Flux took a plain-English prompt and produced a full low-noise mic preamp to a 24-bit ADC—calculating the right bias, gain, and filter values, choosing real parts, then placing and wiring the entire block with decoupling, VCM bias, and star-ground best practices. It even audited itself (fixed missed ties, made gain legs switchable). The result is a ready-to-review schematic 80% away from layout built end-to-end—complex, competent, and fast.
Right now GPT-5 powers Copilot’s chat, but this is just the beginning. We’re already working on:
Open Flux now, switch Copilot to “Next-gen” and see how it handles your next design challenge. The sooner you try it, the more your feedback can shape the next leap in AI-powered hardware design.
A practical guide to calculating PCB trace resistance, covering the core formula, how geometry affects resistance, worked examples, and design tips to minimize voltage drop and heat.
A practical guide to diagnosing and fixing PCB failures, covering common symptoms, a step-by-step debugging workflow, essential tools (multimeter, oscilloscope, logic analyzer, thermal camera), a pre-power-up checklist, and the design mistakes that most often lead to broken boards.
A practical guide to PCB impedance control, covering why it matters for signal integrity, the four physical variables that shape trace impedance, and how to enforce impedance targets from stackup planning through routing and fabrication.
A practical guide to reducing EMI in PCB design through grounding, return path control, shielding, and layout best practices. Covers EMC compliance with CISPR 32 and FCC Part 15.
A practical guide to PCB grounding techniques — ground planes, return paths, star grounding, and analog/digital partitioning — with best practices for reducing noise and improving signal stability.
A step-by-step guide to designing accurate PCB footprints — covering pads, silkscreen, courtyards, IPC-7351 density levels, origin setup, and common mistakes to avoid.
A practical guide to designing multilayer PCB stackups for signal integrity, EMI control, and stable power delivery. Covers layer types, controlled impedance, common mistakes, and how modern tools simplify the process.
A look at how AI is reshaping PCB design by automating routing, placement, and signal integrity checks so engineers can focus on architecture and higher-level decisions.
