![AI & Prompt Engineering for Hardware](https://www.flux.ai/p/assets/resources/hub-hero-ai-prompt-engineering.webp) [Home](https://www.flux.ai/p/) [Resource Center](https://www.flux.ai/p/resources) AI & Prompt Engineering for Hardware # AI & Prompt Engineering for Hardware Learn how to work alongside an AI-native copilot for hardware. Master prompts to generate schematics, automate design reviews, and route buses. Learn how to work alongside an AI-native copilot. ## The 4 core stages to delegate schematic generation & routing to Flux Stage 1 What Makes a Perfect PCB Design Prompt [ ![What Makes a Perfect PCB Design Prompt](https://www.flux.ai/p/assets/blogs/how-to-write-a-perfect-pcb-design-prompt/main.webp) ### What Makes a Perfect PCB Design Prompt ](https://www.flux.ai/p/blog/what-makes-a-perfect-pcb-design-prompt) Stage 2 Prompting Guide: Idea to Schematic [ ![Flux, an AI hardware engineer pointing out the dos and don'ts when prompting.](https://www.flux.ai/p/assets/blogs/prompting-guide/main.webp) ### Prompting Guide: Working with Flux from Idea to Schematic ](https://www.flux.ai/p/blog/prompting-guide-working-with-flux-from-idea-to-schematic) Stage 3 AI Design Reviews [ ![A space-themed image with a central cartoon astronaut helmet against a backdrop of stars and nebulae in shades of purple. Surrounding the helmet are eight speech bubbles with text relating to electronic design considerations, such as 'Review unconnected pins,' 'Check my design for errors,' and 'Radiation Hardness.' A ninth bubble says 'Share Review Template,' with a share icon.](https://www.flux.ai/p/assets/blogs/ai-design-reviews/main.webp) ### AI Design Reviews ](https://www.flux.ai/p/blog/ai-design-reviews) Stage 4 Better Routing with AI Auto-Layout [ ![5 Pro Tips for Better Routing with AI Auto-Layout](https://www.flux.ai/p/assets/blogs/5-tips-for-ai-auto-layout/main.webp) ### 5 Pro Tips for Better Routing with AI Auto-Layout ](https://www.flux.ai/p/blog/5-pro-tips-for-better-routing-with-ai-auto-layout) ## Looking for something specific? ### Prompting Rules & Frameworks Learn prompt syntax, constraint management, and reusable hardware engineering templates. [ ![What Makes a Perfect PCB Design Prompt](https://www.flux.ai/p/assets/blogs/how-to-write-a-perfect-pcb-design-prompt/main.webp) ### What Makes a Perfect PCB Design Prompt 8 Min Read](https://www.flux.ai/p/blog/what-makes-a-perfect-pcb-design-prompt)[ ![Flux, an AI hardware engineer pointing out the dos and don'ts when prompting.](https://www.flux.ai/p/assets/blogs/prompting-guide/main.webp) ### Prompting Guide: Working with Flux from Idea to Schematic 9 Min Read](https://www.flux.ai/p/blog/prompting-guide-working-with-flux-from-idea-to-schematic)[ ![Top 20+ Flux Copilot Prompts for Hardware Design](https://www.flux.ai/p/assets/blogs/top-copilot-prompts-2/main.webp) ### Top 20+ Flux Copilot Prompts for Hardware Design 9 Min Read](https://www.flux.ai/p/blog/top-20-flux-copilot-prompts-for-hardware-design)[ ![More than 20 amazing Flux Copilot prompts on a starry background](https://www.flux.ai/p/assets/blogs/top-copilot-prompts/main.webp) ### 20+ Amazing Flux Copilot Prompts for Hardware Design 5 Min Read](https://www.flux.ai/p/blog/amazing-flux-copilot-prompts)[ ![Top 20+ Flux Copilot Prompts (Refreshed)](https://www.flux.ai/p/assets/blogs/top-copilot-prompts-3/main.webp) ### Top 20+ Flux Copilot Prompts (Refreshed) 7 Min Read](https://www.flux.ai/p/blog/top-20-flux-copilot-prompts-refreshed)[ ![a space-themed background with stars and a floating astronaut helmet to the left. Large, bold text reads '6 Prompting Tips to Get the Most Out of Copilot', indicating a focus on maximizing the use of a digital assistant or tool.](https://www.flux.ai/p/assets/blogs/copilot-6-prompting-tips/main.webp) ### 6 Prompting Tips to Get the Most Out of Copilot 6 Min Read](https://www.flux.ai/p/blog/6-prompting-tips-to-get-the-most-out-of-copilot)[ ![Graphic showing a red printed circuit board design with a list of common asked questions in Flux, such as overlapping copper and missing footprints. Based on the most common questions we hear from our users, it walks through practical solutions to unblock your designs and give you more confidence as you build.](https://www.flux.ai/p/assets/blogs/top-10-troubleshooting-tips-n-tricks/main.webp) ### Top 9 Most Asked Questions in Flux 6 Min Read](https://www.flux.ai/p/blog/top-9-most-asked-questions-in-flux)[ ![A screen that looks like the part of a game where you choose your character. Except the characters are different helmets, representing how Copilot can change for each application. The categories are Aerospace, Edge Computing, UAV, Telecom, Robotics, Audio, Marine and Defense](https://www.flux.ai/p/assets/blogs/copilot-templates/main.webp) ### Flux Copilot Can Adapt To Your Objectives 4 Min Read](https://www.flux.ai/p/blog/flux-copilot-ai-hardware-assistant-adapts-to-your-requirements)[ ![Design Circuits with Natural Language: Copilot Upgrade](https://www.flux.ai/p/assets/blogs/copilot-takes-action/main.webp) ### Design Circuits with Natural Language: Copilot Upgrade 6 Min Read](https://www.flux.ai/p/blog/design-circuits-with-natural-language-copilot-upgrade)[ ![Flux Copilot can learn how you work—your design principles, part selection preferences, schematic, and testing workflows—and remember them automatically](https://www.flux.ai/p/assets/blogs/copilot-knowledge/main.webp) ### Teach Copilot How You Work with Knowledge 4 Min Read](https://www.flux.ai/p/blog/teach-copilot-how-you-work-with-knowledge)[ ![The First AI Hardware Engineer](https://www.flux.ai/p/assets/blogs/first-ai-hardware-engineering-intern/main.webp) ### The First AI Hardware Engineer 5 Min Read](https://www.flux.ai/p/blog/the-first-ai-hardware-engineer)[ ![A schematic diagram of a project on Flux showing an electrical engineer accessing the Copilot shortcut](https://www.flux.ai/p/assets/blogs/ai_shortcut/main.webp) ### AI Shortcuts for PCB Design 2 Min Read](https://www.flux.ai/p/blog/ai-shortcuts-for-pcb-design)[ ![Flux Copilot’s faster workflows with the new AI-first UI](https://www.flux.ai/p/assets/blogs/new-ai-first-ui/main.webp) ### Less Clicking, More Building: The New AI-First UI 4 Min Read](https://www.flux.ai/p/blog/less-clicking-more-building-the-new-ai-first-ui) See All (13) ### Flux In-Workflow Features & Automation Automate design reviews, auto-route buses, parse datasheets, and code firmware. [ ![A space-themed image with a central cartoon astronaut helmet against a backdrop of stars and nebulae in shades of purple. Surrounding the helmet are eight speech bubbles with text relating to electronic design considerations, such as 'Review unconnected pins,' 'Check my design for errors,' and 'Radiation Hardness.' A ninth bubble says 'Share Review Template,' with a share icon.](https://www.flux.ai/p/assets/blogs/ai-design-reviews/main.webp) ### AI Design Reviews 6 Min Read](https://www.flux.ai/p/blog/ai-design-reviews)[ ![Screenshot of a PCB design tool showing an AI-powered review panel. The review panel highlights capacitor C56 with a red error indicating a voltage rating of 16V, below the required safe margin. A chat response suggests replacement capacitors with part numbers, demonstrating the AI's capability to recommend fixes for flagged issues.](https://www.flux.ai/p/assets/blogs/ai-drc-panel/main.webp) ### Introducing the AI Design Review Tab 4 Min Read](https://www.flux.ai/p/blog/introducing-the-ai-design-review-tab)[ ![Flux Copilot - The First AI Powered Hardware Design Assistant can now route your PCB. Introducing AI Auto-Layout. With just one click, Copilot tackles the repetitive task of routing your board, delivering clean, human-like results that are easy to work with and iterate on.](https://www.flux.ai/p/assets/blogs/ai-auto-layout-v1/main.webp) ### Introducing AI Auto-Layout 4 Min Read](https://www.flux.ai/p/blog/introducing-ai-auto-layout)[ ![5 Pro Tips for Better Routing with AI Auto-Layout](https://www.flux.ai/p/assets/blogs/5-tips-for-ai-auto-layout/main.webp) ### 5 Pro Tips for Better Routing with AI Auto-Layout 5 Min Read](https://www.flux.ai/p/blog/5-pro-tips-for-better-routing-with-ai-auto-layout)[ ![Flux Copilot astronaut points at a PCB with the text “Smarter AI Auto‑Layout” overlaid, highlighting the intelligence of Flux’s AI Auto‑Layout feature.](https://www.flux.ai/p/assets/blogs/ai-auto-layout-summer-update/main.webp) ### AI Auto-Layout Just Got Smarter 3 Min Read](https://www.flux.ai/p/blog/ai-auto-layout-just-got-smarter)[ ![An astronaut placing electronics components and tracing complex signals on a complex glowing PCB board.](https://www.flux.ai/p/assets/blogs/ai-auto-layout-v2/main.webp) ### AI Auto-Layout Winter Update 9 Min Read](https://www.flux.ai/p/blog/ai-auto-layout-winter-update)[ ![Flux Copilot suspended in space, intellegently scanning electronic components datasheets](https://www.flux.ai/p/assets/blogs/ditch-datasheets/main.webp) ### Ditch Datasheets with this Flux Copilot Upgrade 2 Min Read](https://www.flux.ai/p/blog/ditch-datasheets-with-this-flux-copilot-upgrade)[ ![Illustration of an astronaut helmet superimposed over a circuit board background, stylized as 'Flux Copilot Vision.' The helmet is detailed with a prominent, reflective visor in shades of purple and white, with a simplified antenna on the side, set against a complex pattern of digital circuits and glowing nodes. This is Copilot Vision, first multi-modal AI for hardware design for electronics and PCB engineers](https://www.flux.ai/p/assets/blogs/copilot_vision/main.webp) ### Flux Copilot Can Now See 3 Min Read](https://www.flux.ai/p/blog/copilot-can-now-see)[ ![Flux copilot writing and optimizing a firmware code of an electronic project](https://www.flux.ai/p/assets/blogs/firmware-productivity-with-ai/main.webp) ### AI for Firmware Development: How to Code Firmware Faster 3 Min Read](https://www.flux.ai/p/blog/code-firmware-faster-with-ai)[ ![Research Components Faster with AI](https://www.flux.ai/p/assets/blogs/ai-component-selection/main.webp) ### 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) See All (17) ### System Architecture & Platform Capabilities Explore domain-specific AI models, steerable agents, and system block design. [ ![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 (12) ## 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) ## Related Resource Hubs [![](https://www.flux.ai/p/assets/resources/hub-pcb-design-fundamentals.webp) ### PCB Design & Engineering Fundamentals Explore schematics, signal integrity, PDN, and layout rules. read more](https://www.flux.ai/p/resources/pcb-design-fundamentals) [![](https://www.flux.ai/p/assets/resources/hub-component-platform-guides.webp) ### Component & Platform Guides Pinouts, power specs, and MCU evaluation (ESP32, Arduino, SBCs). read more](https://www.flux.ai/p/resources/component-platform-guides) [![](https://www.flux.ai/p/assets/resources/hub-tool-comparisons.webp) ### Tool Comparisons & Migrations Review technical comparisons of Flux alongside Altium, KiCad, and EasyEDA. read more](https://www.flux.ai/p/resources/tool-comparisons) AI & Prompt Engineering for Hardware: Getting Real Value from Flux Copilot Staring at a monitor while tracing tiny lines and cross-referencing blurry PDF datasheets consumes hours of engineering effort. In short, designing hardware typically takes a significant amount of time, but that's starting to change. Today, LLM-driven schematic generation is transforming the schematic design workflow entirely. Flux Copilot generates schematics from basic descriptions, suggests component values based on specific design constraints, and runs automated reviews to catch errors humans sometimes miss. The quality of the output schematic depends entirely on the input quality. Consequently, knowing how to prompt and direct Flux Copilot well isn't optional, it's what determines whether engineers actually capture the speed and efficiency gains the tool promises. ### Who This Is For - Hardware engineers looking to speed up the schematic capture process. - PCB designers wanting to automate repetitive placement tasks. - Firmware developers needing quick breakout boards for testing code. - Engineering students learning how to read datasheets and select components. ### What You Will Learn - Writing structured instructions that produce usable schematics quickly. - Using iterative refinement for complex multi-block circuits. - Applying automated assistants for component research and documentation. - Evaluating artificial intelligence claims from electronic design automation vendors. ### The Rules of AI & Prompt Engineering for Hardware Circuit boards operate based on strict physical rules. As a result, writing prompts for electronic design automation requires precision. A vague request produces a vague schematic. Conversely, precise instructions generate designs very close to production readiness. For example, requesting a temperature sensor circuit requires specific details, such as: - Target IC part numbers - Exact power rail voltages - Specific interfaces (like SPI or I2C) - Design intent (such as prototype vs. production) Specific constraints keep the design grounded in reality. For instance, a prototype board usually prioritizes easy-to-solder components, whereas a cost-sensitive production run requires cheaper parts. The guides provide templates and worked examples for exactly such scenarios. Beyond templates, they also walk through the common mistakes engineers run into, from under-specifying requirements to mixing schematic rules with physical layout concerns inside a single prompt. Learning to avoid these pitfalls, and to write instructions correctly from the start, saves hours of frustration down the line. ### Walking Through the Full Workflow Every great project starts with a basic idea, but moving from a bare concept to a finished printed circuit board requires multiple steps. The guides below trace the complete Flux Copilot workflow, start to finish. A typical AI-assisted design process includes: 1. Generating the initial schematic from a text description 2. Refining the circuit iteratively block by block 3. Selecting specific components using real-time supply chain data 4. Running automated design reviews to catch errors 5. Placing components and auto-routing the board with AI Auto-Layout 6. Finalizing the bill of materials (BOM) ahead of manufacturing Component selection and BOM deserve special attention here: pricing, availability, and lead times shift constantly, and finding an in-stock microcontroller often takes longer than designing the sub-circuit around it. Pulling in real-time supply chain data during the design phase, rather than after, helps designers avoid late-stage revisions. Breaking complex architectures into manageable blocks makes this easier still, since large systems become far simpler to source and validate once divided into smaller sections. Before committing to a physical layout, engineers should validate the generated schematic against the original design intent; catching a wiring error on-screen costs minutes, but catching it on a fabricated board costs weeks. ### Why Iteration is the Secret to Success Writing instructions for hardware requires a conversational approach. Rarely does a single sentence produce a flawless motherboard. Instead, engineers build circuits piece by piece. For example, a designer might start by requesting a power management IC, and once the power supply looks correct, request the microcontroller. Such a step-by-step method mirrors traditional engineering workflows perfectly. The only difference is the speed of execution. Instead of drawing wires manually, the user types a command, and the assistant handles the repetitive drawing tasks. Consequently, engineers can redirect that saved time toward system architecture decisions instead of manual drafting. Sometimes the generated circuit contains errors. Finding such issues is part of the normal review process. Common output mistakes include: - Incorrect pull-up resistor values: the model tends to default to a generic value (often 4.7kΩ or 10kΩ) without accounting for bus speed or the number of devices actually on the line, since that depends on the physical board rather than the logical connection. - Floating pins that require grounding: enable, mode-select, and other "don't care" pins are easy to omit because the schematic's logical netlist works without them. However, the assistant has no way to know they need a defined state unless you say so. - Missing decoupling capacitors on power rails: decoupling isn't part of a component's logical connectivity, so it's a detail very likely to get dropped unless it's explicitly requested rather than assumed as implied best practice. Artificial intelligence does not replace the engineer; rather, the technology is simply a very fast drafting assistant. The human designer retains full responsibility for the final product, so checking the output against the original datasheet is required. The included guides show exactly how to use automated design reviews to catch such common mistakes early. ### Avoiding Common Formatting Mistakes Formatting plays a surprisingly large role in output quality. More specifically, vague prompts lead to hallucinations, which occur when the software invents a component or a connection that does not exist. Providing specific constraints prevents such errors. To structure inputs for maximum reliability, engineers should apply a few standard rules: - Separate power requirements from signal routing instructions clearly - Use bulleted lists inside the prompt to break down complex ideas - Provide one single constraint per bullet point The assistant reads each bullet point as a specific rule. Accordingly, the generated circuit aligns closer to the original vision. The AI & Prompt Engineering hub details exactly how to structure such inputs for better results. ### An Example: Vague vs Specific Consider two ways of asking for the same circuit: - A vague prompt like "add a temperature sensor to my board" forces the assistant to guess at nearly every parameter: which interface, which voltage domain, which package, even which failure mode matters most. Flux Copilot will still generate something, but it fills every gap with a default assumption, and those assumptions rarely match the rest of the design. - A specific version of the same request looks more like the following: "Add a TMP117 temperature sensor. Connect to the 3.3V rail with a 100nF decoupling capacitor placed within 5mm of VDD. Use I2C on the existing bus (address pins tied for 0x48), with 4.7kΩ pull-ups already present on SDA/SCL. Package: SOT-563 for a prototype build; note if a DFN alternative fits within a 2mm keep-out from the board edge." None of that extra length is filler. Every added phrase closes off a specific guess the model would otherwise make: the exact part rather than a category, the rail and its decoupling, the bus address and existing pull-up state, and a footprint constraint tied to the mechanical envelope. The specific values will change with every circuit, but the pattern doesn't. So read the datasheet before you write the prompt, not after you see the output. That's the difference the guides below are built around.