# What Makes a Perfect PCB Design Prompt

Struggling to write a great PCB design prompt? Learn how to guide AI tools like Flux to deliver better schematics, layouts, and BOMs.

Written by [Collins Emasi](https://www.flux.ai/collinsemasi)

Published Nov 2025 - 8 min read

[![](https://www.flux.ai/p/assets/blogs/how-to-write-a-perfect-pcb-design-prompt/main.webp)](#)

## If you’ve ever stared at a blank text box thinking, “What do I even say to get a useful design back?”, you’re not alone. A great PCB design prompt reads a lot like a design brief: clear intent, crisp constraints, and a sensible request for the next artifact (schematic, layout idea, BOM, review, etc.). But we don’t always have this clear prompt in our fingertips when starting a chat with an AI agent, so what do we do?

Here’s a practical guide to writing prompts that get quality results from Flux. We’ll talk about the anatomy of a good prompt and how you can use different LLMs to come up with a great prompt.

## Why the first prompt matters

Models behave like fast, literal collaborators. They do best when you hand them the same things you’d give a new teammate: context, constraints, and a definition of “done.” OpenAI, Anthropic, and Microsoft all emphasize the same fundamentals; be specific, provide context and examples, and iterate because models respond measurably better to concrete instructions than vague goals.

For hardware, that specificity translates into;

-   Better plan execution from the AI agent
-   Detailed functional blocks design
-   Comprehensive and targeted research
-   Better part selection and
-   Safer net connections plan

## The new workflow

PCB design is now starting the same way, with a sentence that sets direction. The right workflow turns that sentence into a plan, and that plan into a real board.

1.  **Idea** - If you are reading this, you probably have an idea you want to realize, sweet!
2.  **Generate a brief** - Brainstorm with Flux (or other general LLMs) to create a comprehensive project summary.
3.  **Agent** - Ask flux to help get you started with the project by pasting in the project brief created.
4.  **Iteration** - Flux generates a plan and you can begin execution after you are comfortable with the plan proposed by the agent.

![Workflow for writing prompt for PCB Design](https://www.flux.ai/p/assets/blogs/how-to-write-a-perfect-pcb-design-prompt/illustration.webp)

## The anatomy of a great PCB Design prompt

A strong prompt has structure. You don’t need to overthink it — just fill in the blanks like you would for a teammate’s design request.

1.  **Context:** What are you building? Give a short, high-level description.  
    Example: “I’m designing a small, battery-powered air quality monitor for indoor use.”**‍**
2.  **Core Functions:** What must it do?  
    “It needs to measure CO₂, temperature, and humidity, display readings locally, and send data over Wi-Fi.”**‍**
3.  **Power Model:** How’s it powered?  
    “Powered by a single 18650 Li-ion cell, charged via USB-C.”**‍**
4.  **Key Constraints:** What limits do you have?  
    “Max board size 50×80mm, target BOM under $30, use JLCPCB parts where possible.”**‍**
5.  **Interfaces and I/O:** What external connections or sensors are involved?  
    “Include connectors for an external temperature probe and optional OLED display.”

Once you’ve written that out, you’ll notice something: it’s the same info you’d include in a solid design doc. You’re just telling it to the AI in natural language.

**Bad**

> “Design a PCB to power my sensor node.”

**Better**

> Create a compact, two-layer PCB for a battery-powered environmental sensor that can measure temperature and humidity outdoors year-round.  
>   
> ‍**Functions**: Step down Li-ion voltage (3.0–4.2 V) to a stable 3.3 V @ 500 mA to power an MCU and BLE module, while maintaining low noise for accurate sensor readings.**  
>   
> Power model:** Single-cell Li-ion input with optional USB-C charging and reverse-current protection; system should support sleep modes with minimal quiescent draw.**  
>   
> Key constraints:** Total board area ≤ 2 cm²; must use widely available components from LCSC or Mouser; prioritize efficiency (≥ 85%) and long battery life over BOM cost; all parts hand-solderable and suitable for low-volume prototyping.**  
>   
> Interfaces & I/O:** I²C bus for sensors, UART header for debugging, JST-PH connector for the battery, and test points for power rails and signal lines.

[Try this prompt now](https://www.flux.ai/signup?destinationPath=%2Fprojects%2Fcreate%3Fprompt%3DCreate%2520a%2520compact%252C%2520two-layer%2520PCB%2520for%2520a%2520battery-powered%2520environmental%2520sensor%2520that%2520can%2520measure%2520temperature%2520and%2520humidity%2520outdoors%2520year-round%252E%250A%250AFunctions%253A%2520Step%2520down%2520Li-ion%2520voltage%2520\(3%252E0%25E2%2580%25934%252E2%2520V\)%2520to%2520a%2520stable%25203%252E3%2520V%2520%2540%2520500%2520mA%2520to%2520power%2520an%2520MCU%2520and%2520BLE%2520module%252C%2520while%2520maintaining%2520low%2520noise%2520for%2520accurate%2520sensor%2520readings%252E%250A%250APower%2520model%253A%2520Single-cell%2520Li-ion%2520input%2520with%2520optional%2520USB-C%2520charging%2520and%2520reverse-current%2520protection%253B%2520system%2520should%2520support%2520sleep%2520modes%2520with%2520minimal%2520quiescent%2520draw%252E%250A%250AKey%2520constraints%253A%2520Total%2520board%2520area%2520%25E2%2589%25A4%25202%2520cm%25C2%25B2%253B%2520must%2520use%2520widely%2520available%2520components%2520from%2520LCSC%2520or%2520Mouser%253B%2520prioritize%2520efficiency%2520\(%25E2%2589%25A5%252085%2525\)%2520and%2520long%2520battery%2520life%2520over%2520BOM%2520cost%253B%2520all%2520parts%2520hand-solderable%2520and%2520suitable%2520for%2520low-volume%2520prototyping%252E%250A%250AInterfaces%2520%2526%2520I%252FO%253A%2520I%25C2%25B2C%2520bus%2520for%2520sensors%252C%2520UART%2520header%2520for%2520debugging%252C%2520JST-PH%2520connector%2520for%2520the%2520battery%252C%2520and%2520test%2520points%2520for%2520power%2520rails%2520and%2520signal%2520lines%252E)

‍

## A quick prompt template (steal this)

Replace the bracketed parts, and keep it as one block.

\[Project/Company\] is building \[product\] for \[end user\]. It will operate in \[environment\], and must handle \[risks/safety factors\]. We need a \[rev level\] board for \[goal\], easy to iterate. The board should be \[reliability/cleanability/safety notes\]. Design for \[real-world conditions\]. Requirements: \* Thermal: \[range/strategy\] \* Ingress: \[IP intent, wipeability, exposed headers policy\] \* EMI: \[nearby sources, filtering expectations\] \* Actuation/Power Stages: \[motors/loads, qualitative behavior\] \* IO: \[sensors, comms, external ports, expansion\] Power: \* Input: \[voltage/current source, peak/continuous\] \* Rails needed: \[list rails and purpose\] \* Isolation: \[yes/no, rationale\] \* Noise: \[constraints and separation expectations\] Compute: \* Class: \[MCU/MPU, headroom target\] \* Must support: \[memory, camera, networking\] \* Nice to have: \[extras\] Connectivity/Radio: \[protocols, interfaces, RF layout budget\] Out of scope for this rev: \[what we are not doing\]

Start a new project with this prompt

## What to leave out for now

-   Specific net names and pin-level constraints
-   Part numbers that lock the design too early, unless they are truly non-negotiable
-   Layout advice, like exact stackups or trace geometry.

| Dos| Don'ts | | :--- | :--- | | Define the end user and real operating environment | Pre-defining nets, pin maps, or trace-level details in the prompt | | State core functions and success criteria up front | Over-constraining peripherals or picking parts too early | | List power input, expected peaks, and required rails | Prescribing exact layout advice or stackups unless safety-critical | | Call out environmental constraints, thermal, ingress, EMI | Hand-waving on conditions where the board must actually live | | Describe required interfaces and expansion headroom | Locking interfaces that are negotiable or rarely matter to rev 1 | | Keep the prompt as one clean block, like a mini brief | Fragmented multi-message prompts that bury key context | | Mark what is out of scope for this rev | Mixing future features that confuse the current design | | Move the brief into Flux and iterate there | Expecting the prompt alone to finalize design choices |

Below is a single-block prompt example for an enterprise-style project. Use the structure and adapt the content.

> OzCorp’s building a robotic arm for its Kitchen Independence line—assistive gear to help folks with limited mobility cook safely. It’ll live near stovetops, inside semi-sealed enclosures, and handle risky, high-precision tasks. We need a v1 board for early testing—tight stack, safe motion, easy to iterate.  
>   
> Board should be quiet, cleanable, fault-tolerant, and built with safety-first motor control. Design for real-world abuse, not just the bench.  
>   
> Requirements:  
> \* Thermal: Run clean near 70°C, layout ready for passive shielding.  
> \* Ingress: Tolerate steam/oil, avoid exposed headers, semi-wipeable.  
> \* EMI: Survive near induction tops; solid filtering and layout.  
> \* Motors: Drive 4–6 steppers or BLDCs w/ encoders, quiet + smooth.  
> \* IO: Temp + proximity sensors; USB-C or UART; room for add-ons.  
>   
> Primary input will be a 24 V DC external supply—off-the-shelf medical-grade adapter. Budget ~5 A peak, ~2 A continuous for everything. Motors are 24 V BLDCs with integrated drivers, so we don’t need separate gate drive rails.  
>   
> Rails we’ll need:  
> \* 24 V passthrough for motors  
> \* 5 V rail for sensors, logic level translators, and E-stop handling  
> \* 3.3 V clean rail for MCU and digital IO  
> \* 2.8 V, 1.8 V and 2.3 V analog-only rails for the camera  
> \* No additional rails, however, keep layout flexibility in mind in case we add additional sensing later.  
>   
> No galvanic isolation needed between motor and logic domains in this rev—common ground is fine as long as noise coupling is controlled. Just prioritize good filtering and separation in the layout.  
>   
> We’re targeting a higher-end embedded MCU—something with enough headroom for real-time motor control, sensor fusion, and field updates without jumping to a full MPU. Needs to support external memory and camera input via MIPI CSI (basic CV down the line), and ideally has built-in Ethernet MAC with PoE support for hardwired installs.  
>   
> We’re also dropping in a discrete Zigbee radio—most of the Kitchen Independence line will communicate over a shared Zigbee mesh for interoperability and OTA updates, so we’ll need clean SPI or UART for that interface, plus a decent RF layout budget. USB device is a must, USB host is a nice-to-have. No Linux this rev—we’re keeping it lean and RTOS-friendly.

[Try this prompt now](https://www.flux.ai/signup?destinationPath=%2Fprojects%2Fcreate%3Fprompt%3DOzCorp%25E2%2580%2599s%2520building%2520a%2520robotic%2520arm%2520for%2520its%2520Kitchen%2520Independence%2520line%25E2%2580%2594assistive%2520gear%2520to%2520help%2520folks%2520with%2520limited%2520mobility%2520cook%2520safely%252E%2520It%25E2%2580%2599ll%2520live%2520near%2520stovetops%252C%2520inside%2520semi-sealed%2520enclosures%252C%2520and%2520handle%2520risky%252C%2520high-precision%2520tasks%252E%2520We%2520need%2520a%2520v1%2520board%2520for%2520early%2520testing%25E2%2580%2594tight%2520stack%252C%2520safe%2520motion%252C%2520easy%2520to%2520iterate%252E%250A%250ABoard%2520should%2520be%2520quiet%252C%2520cleanable%252C%2520fault-tolerant%252C%2520and%2520built%2520with%2520safety-first%2520motor%2520control%252E%2520Design%2520for%2520real-world%2520abuse%252C%2520not%2520just%2520the%2520bench%252E%250A%250ARequirements%253A%250A*%2520Thermal%253A%2520Run%2520clean%2520near%252070%25C2%25B0C%252C%2520layout%2520ready%2520for%2520passive%2520shielding%252E%250A*%2520Ingress%253A%2520Tolerate%2520steam%252Foil%252C%2520avoid%2520exposed%2520headers%252C%2520semi-wipeable%252E%250A*%2520EMI%253A%2520Survive%2520near%2520induction%2520tops%253B%2520solid%2520filtering%2520and%2520layout%252E%250A*%2520Motors%253A%2520Drive%25204%25E2%2580%25936%2520steppers%2520or%2520BLDCs%2520w%252F%2520encoders%252C%2520quiet%2520%252B%2520smooth%252E%250A*%2520IO%253A%2520Temp%2520%252B%2520proximity%2520sensors%253B%2520USB-C%2520or%2520UART%253B%2520room%2520for%2520add-ons%252E%250A%250APrimary%2520input%2520will%2520be%2520a%252024%2520V%2520DC%2520external%2520supply%25E2%2580%2594off-the-shelf%2520medical-grade%2520adapter%252E%2520Budget%2520~5%2520A%2520peak%252C%2520~2%2520A%2520continuous%2520for%2520everything%252E%2520Motors%2520are%252024%2520V%2520BLDCs%2520with%2520integrated%2520drivers%252C%2520so%2520we%2520don%25E2%2580%2599t%2520need%2520separate%2520gate%2520drive%2520rails%252E%250A%250ARails%2520we%25E2%2580%2599ll%2520need%253A%250A*%252024%2520V%2520passthrough%2520for%2520motors%250A*%25205%2520V%2520rail%2520for%2520sensors%252C%2520logic%2520level%2520translators%252C%2520and%2520E-stop%2520handling%250A*%25203%252E3%2520V%2520clean%2520rail%2520for%2520MCU%2520and%2520digital%2520IO%250A*%25202%252E8%2520V%252C%25201%252E8%2520V%2520and%25202%252E3%2520V%2520analog-only%2520rails%2520for%2520the%2520camera%250A*%2520No%2520additional%2520rails%252C%2520however%252C%2520keep%2520layout%2520flexibility%2520in%2520mind%2520in%2520case%2520we%2520add%2520additional%2520sensing%2520later%252E%250A%250ANo%2520galvanic%2520isolation%2520needed%2520between%2520motor%2520and%2520logic%2520domains%2520in%2520this%2520rev%25E2%2580%2594common%2520ground%2520is%2520fine%2520as%2520long%2520as%2520noise%2520coupling%2520is%2520controlled%252E%2520Just%2520prioritize%2520good%2520filtering%2520and%2520separation%2520in%2520the%2520layout%252E%250A%250AWe%25E2%2580%2599re%2520targeting%2520a%2520higher-end%2520embedded%2520MCU%25E2%2580%2594something%2520with%2520enough%2520headroom%2520for%2520real-time%2520motor%2520control%252C%2520sensor%2520fusion%252C%2520and%2520field%2520updates%2520without%2520jumping%2520to%2520a%2520full%2520MPU%252E%2520Needs%2520to%2520support%2520external%2520memory%2520and%2520camera%2520input%2520via%2520MIPI%2520CSI%2520\(basic%2520CV%2520down%2520the%2520line\)%252C%2520and%2520ideally%2520has%2520built-in%2520Ethernet%2520MAC%2520with%2520PoE%2520support%2520for%2520hardwired%2520installs%252E%250A%250AWe%25E2%2580%2599re%2520also%2520dropping%2520in%2520a%2520discrete%2520Zigbee%2520radio%25E2%2580%2594most%2520of%2520the%2520Kitchen%2520Independence%2520line%2520will%2520communicate%2520over%2520a%2520shared%2520Zigbee%2520mesh%2520for%2520interoperability%2520and%2520OTA%2520updates%252C%2520so%2520we%25E2%2580%2599ll%2520need%2520clean%2520SPI%2520or%2520UART%2520for%2520that%2520interface%252C%2520plus%2520a%2520decent%2520RF%2520layout%2520budget%252E%2520USB%2520device%2520is%2520a%2520must%252C%2520USB%2520host%2520is%2520a%2520nice-to-have%252E%2520No%2520Linux%2520this%2520rev%25E2%2580%2594we%25E2%2580%2599re%2520keeping%2520it%2520lean%2520and%2520RTOS-friendly%252E)

‍

## Why this works

This approach resembles a planning meeting rather than a netlist, allowing for a more comprehensive and strategic overview. By defining environment and safety considerations early, it significantly influences and shapes the overall architecture. Additionally, it outlines the rails and interfaces without prematurely committing to specific chips, providing greater flexibility. This method also leaves room for the agent to propose blocks and components that align with and satisfy the project's goals.

### Practical tips that improve results

-   Longer is fine when it adds clarity, keep it high level and purposeful.
-   Use concrete constraints from the real environment, temperature, ingress, EMI.
-   Avoid locking nets, pin maps, or exact layout decisions too early, this can confuse the agent and reduce useful options.
-   Keep everything in one block for the initial pass, then iterate.
-   When you move into Flux, let the tool propose blocks, then refine.

## Move from prompt to PCB

Once your requirements are clear, bring them to life. Paste your brief into a new project in Flux, and watch as your AI assistant turns that structured intent into a concrete starting point.

Flux’s AI agent doesn’t replace that balance; it amplifies it. When you give it clarity, it gives you momentum. When you ask better questions, it becomes a sharper collaborator.

Plan like a product team, define clearly, and let the AI handle the first draft of your design.

The future of hardware starts here, [open Flux](https://flux.ai/) and start your next project today.

## About the author

[Collins Emasi](https://www.flux.ai/collinsemasi)

Electronics Engineer at Flux

Collins is an electronics engineer with a certain knack for IoT and human-centric hardware design. Find him on Flux [@collinsemasi](https://www.flux.ai/collinsemasi)

Let’s start building

Build your big idea together with Flux. All you need to do is describe what you want to make, or what problem you want to solve. Flux will work with you to make it a reality.

![Close-up photo of a PCB made with Flux, with an ESP32 module, buttons, and a microSD slot.](https://www.flux.ai/p/assets/blogs/miscellaneous/sidebar-cta-pcb.webp) [Try it Free](https://www.flux.ai/signup)

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### Research Components Faster with AI

5 Min Read](https://www.flux.ai/p/blog/research-components-faster-with-ai)[

![Flux copilot, a hardware design assistant is responding to a user request to provide him drop-in replacement for an electronic component in his project. Behind is a complicated realistic printed circuit board.](https://www.flux.ai/p/assets/blogs/streamline-component-research-with-ai/main.webp)

### Streamline Component Research with AI

2 Min Read](https://www.flux.ai/p/blog/streamline-component-research-with-ai)[

![Instant Hardware Analysis with AI: Meet Copilot's Code Interpreter](https://www.flux.ai/p/assets/blogs/code-interpreter/main.webp)

### Instant Hardware Analysis with AI: Meet Copilot's Code Interpreter

4 Min Read](https://www.flux.ai/p/blog/instant-hardware-analysis-with-ai-meet-copilots-code-interpreter)[

![This image displays a sophisticated electronics testing setup. In the foreground, a person's hand holds a probe connected to a circuit board densely populated with various electronic components. The background features an oscilloscope screen showing waveform outputs and a digital meter displaying the number 0.95. A digital overlay on the image presents a test plan for signal integrity checks, listing steps such as confirming a voltage level of 3.3V, checking for a PWM signal at 1 kHz, and ensuring zero voltage (ground). The layout emphasizes precision and methodical testing in electronic design and development.](https://www.flux.ai/p/assets/blogs/ai-electronic-testing-and-debugging/main.webp)

### AI for Electronics Testing and Debugging

3 Min Read](https://www.flux.ai/p/blog/ai-for-electronics-testing-and-debugging)[

![A hardware design assistant wearing a spacesuit helmet, automatically reading test points in a complex printed circuit board and doing design analysis](https://www.flux.ai/p/assets/blogs/ai-functional-testing/main.webp)

### AI for Functional Testing

4 Min Read](https://www.flux.ai/p/blog/ai-for-functional-testing)[

![AI design assistant named Copilot wearing a space helmet is scanning an electronic schematic diagram to optimize for production total cost by looking at every single electronic components, stackup configuration and packages](https://www.flux.ai/p/assets/blogs/ai-driven-cost-optimization/main.webp)

### AI-Driven PCB Cost Optimization

4 Min Read](https://www.flux.ai/p/blog/ai-driven-pcb-cost-optimization)[

![Simulate Circuits with a Prompt](https://www.flux.ai/p/assets/blogs/simulate-circuits-with-a-prompt/main.webp)

### Simulate Circuits with a Prompt

5 Min Read](https://www.flux.ai/p/blog/simulate-circuits-with-a-prompt)[

![Meet Files: AI-Native Project Documentation](https://www.flux.ai/p/assets/blogs/meet-files-ai-native-project-documentation/main.webp)

### Meet Files: AI-Native Project Documentation

5 Min Read](https://www.flux.ai/p/blog/meet-files-ai-native-project-documentation)[

![Flux copilot under the hood - an AI agent with access to real tools, structured data, and your active design context. Because it understands your schematic — the parts you’ve used, their interconnections, net names, designators, and annotations — it can reason about your design.](https://www.flux.ai/p/assets/blogs/flux-copilot-under-the-hood/main.webp)

### Flux Copilot: Under the Hood

8 Min Read](https://www.flux.ai/p/blog/flux-copilot-under-the-hood)[

![An illustration showing AI-driven PCB design workflows with automated routing and placement optimization](https://www.flux.ai/p/assets/blogs/how-ai-is-changing-pcb-design/main.webp)

### How AI Is Changing PCB Design

11 Min Read](https://www.flux.ai/p/blog/how-ai-is-changing-pcb-design)[

![A screenshot displaying the Flux Copilot Chat dialog box on a computer screen, featuring a selection of specialized AI models, each uniquely tailored for various aspects of hardware design.](https://www.flux.ai/p/assets/blogs/copilot_got_smarter/main.webp)

### Flux Copilot Just Got Smarter

2 Min Read](https://www.flux.ai/p/blog/flux-copilot-just-got-smarter)[

![An astronaut in silhouette stands on a ledge, gazing at stars and planets that resemble electronic circuits, imagining the endless possibilities Flux Copilot offers in realizing his dream](https://www.flux.ai/p/assets/blogs/future-of-copilot/main.webp)

### The Future of Flux Copilot

5 Min Read](https://www.flux.ai/p/blog/the-future-of-flux-copilot)[

![Flux Copilot is creating a block diagram or architectural diagram of an electronic PCB project](https://www.flux.ai/p/assets/blogs/ai-powered-architecture-design/main.webp)

### AI-Powered Architecture Design

4 Min Read](https://www.flux.ai/p/blog/ai-powered-architecture-design)[

![An illustration of astronaut helmet spacesuit suspended in space.](https://www.flux.ai/p/assets/blogs/copilot_v1/main.webp)

### Flux Copilot - The First AI Powered Hardware Design Assistant

8 Min Read](https://www.flux.ai/p/blog/flux-copilot-the-first-ai-powered-hardware-design-assistant)[

![A schematic diagram with two integrated circuit symbols with a message bubble above it, featuring Copilot AI hardware assistant](https://www.flux.ai/p/assets/blogs/generative-ai-for-hardware-design/main.webp)

### Generative AI for Hardware Design

3 Min Read](https://www.flux.ai/p/blog/generative-ai-for-hardware-design)[

![Flux copilot optimizing the initial phase of hardware development process](https://www.flux.ai/p/assets/blogs/ai-research-and-planning/main.webp)

### AI Research & Planning

5 Min Read](https://www.flux.ai/p/blog/ai-research-planning)[

![Flux copilot just got smarter, cleaner layouts, fewer bugs. An astronaut traversing the galaxy having full control.](https://www.flux.ai/p/assets/blogs/copilot-getting-smarter/main.webp)

### Smarter Copilot, Cleaner Layouts, Fewer Bugs

2 Min Read](https://www.flux.ai/p/blog/smarter-copilot-cleaner-layouts-fewer-bugs)[

![Introducing Copilot Knowledge Base for Flux Engineers](https://www.flux.ai/p/assets/blogs/how-to-transfer-your-knowledge-to-copilot/main.webp)

### Introducing Copilot Knowledge Base for Flux Engineers

6 Min Read](https://www.flux.ai/p/blog/introducing-copilot-knowledge-base-for-flux-engineers)[

![Flux + GPT-5 (Beta)](https://www.flux.ai/p/assets/blogs/flux-and-gpt-5/main.webp)

### Flux + GPT-5 (Beta)

4 Min Read](https://www.flux.ai/p/blog/flux-gpt-5-beta)[

![Design hardware in the fast lane with Flux's new steerable agent](https://www.flux.ai/p/assets/blogs/new-steerable-hardware-agent/main.webp)

### Design hardware in the fast lane with Flux's new steerable agent

3 Min Read](https://www.flux.ai/p/blog/new-steerable-hardware-agent)

See All (41)

## Let’s start building.

Let’s build your idea together. All you need to do is describe what you want to make, or what problem you want to solve. Flux will work with you to make it a reality.

[Try it Free](https://www.flux.ai/signup)

 ![Close-up of a Flux-designed printed circuit board](https://www.flux.ai/p/assets/homepage-v2/mission-visual.webp)
