Starting a new hardware project can be overwhelming, but the completely overhauled Copilot simplifies the process by guiding you through component selection, spec verification. Just describe your goals and Copilot engages in a focused conversation to refine your requirements like a seasoned hardware engineer.
Ask me a structured set of questions (about 5 one at a time) to help brainstorm and outline the most important parts of a project including the critical technical requirements, including power, components, performance, constraints, Use case etc
Always provide multiple options where applicable, considering trade-offs in cost, efficiency, size, and performance. By the end of this process, I want:
1. A block diagram illustrating the system architecture.
2. A complete list of all components, including passives and active components.
Instead of wading through datasheets and Google searches, use Copilot to select appropriate parts for implementation, recommending main and alternative components that meet design requirements. Tip: You can use tool like @library to direct Copilot to search the part library, or @file to direct Copilot to use datasheet details in it’s responses.
@library List out 5 switching regulators that I can use for my project with a maximum output current of 2A. Include key parameters such as input voltage range, output voltage range, switching frequency, efficiency, and package type.
@file extract the following details from the datasheet of @U2
1. Key features
2. Functional Pin Description
- List each pin with its name, function, and relevant electrical characteristics.
3. From the Typical Application Circuit:
- List all components present along with their values in a table format.
- Describe explicitly how each pin is connected.
4. Any circuit-Specific Design Notes
Identify alternative components for @U4 with similar functionality, pin configurations, and electrical characteristics. Include key differences and trade-offs.
@file extract the absolute maximum ratings of @U1 including voltage, current, and thermal limits. Present the data in a clear table format.
@file Explain @U1 in detail, including its purpose, key functions, and common applications. Describe how it operates within a circuit and any notable characteristics. Also, explain the family or series this component belongs to, highlighting its variations, key differences, and typical use cases compared to other models in the series.
@file Extract the recommended operating conditions for @IC2. Retrieve key parameters such as supply voltage range, operating temperature range, input/output voltage levels, and other relevant conditions specified for optimal performance.
Compare LMR33630ADDAR and MP2451DJ-LF-Z in terms of efficiency, output ripple, load regulation, and thermal performance. Highlight key differences in topology, switching frequency, and suitability for a [specific application, e.g., battery-powered wearable]. Provide a recommendation based on [input voltage range, output voltage, current requirements.
Analyze all the parts in the project context and generate a consolidated parts table that optimizes component selection. Specifically, apply the following consolidation rule:
- Identify passive components (resistors, capacitors, inductors) with the same values but different MPNs (Manufacturer Part Numbers).
- Propose a single standardized MPN for each unique value, prioritizing parts with better availability, and popular supplier.
Present the table clearly. The table must strictly list and analyze all passive components in the project context. It must not use vague terms such as “etc.” or truncate the list in any way. The table should have the following headers (Original Part Category (e.g., Resistor, Capacitor, Inductor), Original Values/Specs (e.g., 10kΩ, 1μF, 100mH), Original MPNs (List all variants found in the project), Proposed Consolidated MPN (Recommended single part), Reason for Consolidation (e.g., same specs, better tolerance, reduced part diversity)
Copilot isn’t just here to answer questions—it can take direct action in your project, helping you place components, modify properties, and refine your design faster than ever. Instead of manually searching for parts or tweaking values one by one, you can ask Copilot to handle specific tasks, like adding a resistor with a defined value or updating a component’s footprint.
When Copilot detects an action it can execute, you’ll see an action button appear—click it to apply the change instantly. If you don’t see a button, try rephrasing your request or breaking it into smaller steps. While Copilot can’t yet generate an entire schematic at once, it’s great at guiding you through the process, handling tedious tasks, and keeping your workflow smooth.
I want the 555 timer to operate at a frequency of 1.5 kHz.
@library add the following components to the project:
- NE555 Timer IC
- 2-Pin Terminal Block Connector (for power input)
- Resistors:
- R1 = 10kΩ
- R2 = 100Ω
- R3 (Current-limiting resistor for output)
- Capacitors:
- C1 = 100nF (0.1µF)
- C2 = 0.1µF (Decoupling capacitor)
- Diode: 1N4148
- LED
- Ground connection
@library add the following components to this project; NE555 Timer IC, 2-Pin Terminal Block Connector (for power input) and two 0603 1k ohm resistors
When working on a design, precise calculations are key—but instead of crunching numbers manually, Copilot can help streamline the process. Whether you need to size a resistor, calculate power consumption, or verify signal integrity, you can use Copilot to gather equations and relevant data before running calculations.
Start by pulling in the necessary formulas and values using @file or @library, ensuring you have all the details upfront. Once you’ve gathered the required inputs, use the @calculator tool to perform the calculations accurately. Taking this structured approach will help you get the most reliable results from Copilot.
@file obtain the equation for sizing the inductor for @U2, along with the required parameter values needed for the calculation.
@calculator calculate the inductor size for U2 needed for my project (Vin = 5V, Vout = 3.3V, Iout = 1A)
@calculator calculate the required PCB trace width for the 12V power rail according to the IPC-2221 standard. The trace should handle a current of 3A with a maximum allowable temperature rise of 10°C. Assume a copper thickness of 1oz and an ambient temperature of 25°C.
@calculator calculate the required decoupling capacitance for @C2 and @C3 considering ±50mv noise/ripple range.
Focuses on early project development to establish a solid project foundation.
@copilot, use mermaid-formatted block diagrams to generate 2 well-detailed architecture design of this project for comparison. Make sure to use the technical and functional requirements information.
@copilot, I’m designing a custom voice-controlled speaker and I initially want it to have buttons, Bluetooth, Wi-Fi, and rechargeable battery. Help me brainstorm and develop a comprehensive product requirements document. Ask me one question at a time, waiting for my response before moving to the next question.
@copilot, validate the the suggested architecture in the block diagram matches the product requirements set for this project. Point out any missing blocks that would be needed to satisfy the requirements.
Brainstorm and optimize modular circuit blocks for faster hardware development.
@copilot, based on my requirements, help me figure out the best power architecture for this project. What should the power tree look like?
Involves choosing appropriate parts for implementation, recommending main and alternative components that meet design requirements.
@copilot, here's the block diagram of this design. In a table format, recommend at least 3 IC for each block highlighting the electrical characteristics of the IC and why you recommended it.
@copilot, list all components specified in the datasheet of U1 for building the typical application circuit. Present the information in a detailed table format with equations needed to size the components.
@copilot, outline the electrical characteristics of U4 as detailed in the datasheet. Then, suggest at least four drop-in replacement parts, presented in a table format with the columns
@copilot, query all components in the schematic that do not have an assigned manufacturer part number (MPN). Compile these components into a table format with the following details: Designator, Component Function, Electrical Properties, and Recommended MPN (Provide a list of recommended part numbers based on the component's properties, focusing on the most popular and widely available parts).
Focuses on optimizing component selection and management, including consolidating similar passive components and addressing part obsolescence to streamline the bill of materials and reduce costs.
@copilot, perform a BoM consolidation review to identify passive components (resistors, capacitors, and inductors) that have similar but different values (within ±50%) and the same package code. The goal is to simplify the BoM and reduce costs by replacing these components with a single value where possible, without affecting the circuit's functionality.
For each group of similar components, compare their electrical and mechanical characteristics, then identify a single value that can replace the others. Provide a detailed comparison table for each group, listing the designators, component values, package codes, and the proposed consolidated value, along with key specifications and any additional notes. Document the final proposed consolidated BoM in a table format.
@copilot, identify all components in the schematic that are either obsolete or not recommended for new designs (NRND). Compile these components into a table with the following details: Designator, Description/Function, Obsolete/NRND Status, Recommended Alternative Parts (Suggest at least 2 alternative components and their MPN that are current, widely available, and suitable replacements, based on the original component's specifications).
Involves precise calculations for sizing various components often using Python for accuracy and presenting results in detailed tables.
@copilot, from the datasheet of U1 obtain equations used to
Calculate these values using python and present the results in a clear and detailed table.
@copilot, use Python to calculate the load capacitors for Y1 using the information from its datasheet.
@copilot, use the datasheets of LED D5 and D2 to obtain electrical characteristics needed to calculate the appropriate current-limiting resistor value. Then use python to calculate the value and present it in a well detailed table forma.
Involves detailed examination of integrated components to ensure proper component selection and usage in the design.
@copilot, from the datasheet of U2 List the pin names, functions, and additional attributes for the IC. Include the following details for each pin in a table format: Pin Name, Function, Pin Type (e.g., power, ground, signal), Pin Direction (e.g., input, output, bidirectional, passive), Default State (e.g., high, low, floating), Voltage Level (if applicable), Additional Notes (e.g., pull-up/pull-down resistor, special considerations).
@copilot What are the absolute maximum ratings for U5? Identify any critical components that must be carefully selected to stay within these limits and present the results in a well detailed table format.
Utilizes Python to create visual representations of design data to assist in analysis and decision-making.
@copilot, use python to plot a bar graph showing the most expensive components in this design.
Provides thorough checks of specific circuit elements to verify correct calculations and implementation in the schematic and layout.
@copilot, list all ICs and the decoupling capacitors attached to each. Ensure to include all ICs present in the design, including digital ICs, power converters, LDOs, etc. For every IC, clearly state:
@copilot, review the design to ensure all current-limiting resistors for LEDs are correctly calculated for a current range of 1mA to 10mA. Follow these steps:
@copilot, determine the efficiency of U4 at various load conditions, considering that the input is a battery with a voltage range from 4.2V (fully charged) to 3.3V (low battery level). Identify which components in the circuit affect this efficiency and present that in a detailed table. Finally, use python to plot a graph showing the efficiency of U1 across the range of load conditions and input voltages.
Generates test plans and collaborative workflows, ensuring your hardware is manufactured error-free.
@copilot, create a detailed step-by-step plan table for this project to verify its functionality.
@copilot, develop an FMEA (Failure Mode and Effects Analysis) report in a table format that analyzes the systems schematic, each unique component specification, and operational parameters. It should identify critical failure modes, assess their impact, and recommend mitigation actions based on severity, occurrence probability, and detectability. Include columns such as: process step, potential failure mode, potential failure effect, S, O, D, RPN, Action Recommended, and any other you see fit.
Copilot can help get you started quickly by understanding the requirements and providing guidance.
@copilot here's a block diagram I've been working on. Can you suggest ICs I might use to implement this in Flux?
@copilot I'd like to build a smart curtain that opens or closes based on the amount of sunshine I want to enter my room. How would you approach designing this? Please ask me questions to help with the development.
@copilot I'm designing a PCB for a medical device that measures heart rate and temperature. Can you give me the list of components I will need?
@copilot I'd like to build geeky wristwatch with LED display. How would you approach building this? Please ask me questions to help me design this.
Copilot can connect complex parts for you, explore design options, and provide a bill of materials for a target project.
@copilot here's a plot of the charging profile of U2. What charging phase would it be in at 3.2V?
@copilot, how would I connect these parts to make the LED flash at 1kHz?
@copilot, how would I connect these two HDMI connectors as a pass through?
@copilot, how should I connect RP2040 and TFT LCD?
@copilot can you choose 4 digital pins on the ATMega328P-AU that I have here to use as GPIO given that I am already using some pins for reset, the external clock, UART, and I2C.
Copilot can understand datasheets and reference them in its responses. This means you get more accurate responses when asking Copilot questions about specific parts.
@copilot what's the max voltage I can supply to U2?
@copilot can U2 withstand intense operating temperatures even without a heatsink?
@copilot what is the maximum frequency I can reach without an external crystal on U6?
@copilot I'm a firmware engineer. How do I configure an interrupt on a pin for U4?
@copilot what are the clock requirements for U4?
Copilot answers questions about how to use Flux by referencing our documentation. So, instead of getting stuck and searching documentation, you can stay in the flow and get the help you need without leaving your project!
@copilot can you explain the different dimensions of this footprint diagram?
@copilot how do I know if a part has a simulation model?
@copilot how do I connect ground to these components?
@copilot I can't find part on the library what do I do?
@copilot how do I know my projects are safe and private?
@copilot what resistor do I need to limit the current on LED1 while being driven by U1?
@copilot can you help me debugging this circuit, and help me understand if there's any problems?
@copilot can you check all my components in my schematic and tell me if I am missing any manufacturer part number fields?
@copilot how would I decrease the distance between my ground fill and my vias?
Copilot can provide valuable recommendations to optimize your design based on constraints and specifications.
@copilot please review this block diagram and compare it to my project, is there anything I'm missing?
@copilot what components do I need to power a 30w speaker to this audio driver amplifier?
@copilot can you suggest a suitable ADC for microphone pickup going through an Arduino Uno?
@copilot can I use U1 to make a 20db gain op-amp?
@copilot I want to build a PCB that uses a solar panel to charge a single cell LiPo battery. I want to measure ambient pressure with a microcontroller and send that over WiFi. What are all the components I would need?
Copilot can offer tailored suggestions and analyze tradeoffs based on your project goals, constraints, and specifications.
@copilot can you suggest an alternative to C1 that meets the same specs but is more cost-effective?
@copilot are there any alternatives to U2 that have better availability?
Flux Copilot has a range of tools to help you through your design process. For the best results, use one tool at a time. This helps Copilot focus on a single task, making its responses more accurate and actionable.
Flux Copilot is here to make hardware design more straightforward and efficient. By following these prompts and tips, you can streamline your workflow, reduce errors, and tackle each step of your project with confidence. Feel free to share your results and favorite prompts in our Slack Community.
Happy designing!
The research and planning phase, which can account for up to 90% of project costs, is the perfect stage to introduce AI without major disruptions. By leveraging AI’s ability to digest vast amounts of information and ensure thorough coverage, your team can streamline processes, reduce costs, and lay a robust foundation for successful project outcomes.
Find out how Flux Copilot can optimize this critical phase and improve your hardware development process
The research and planning phase in large-scale hardware projects is crucial for setting a solid foundation for development. This phase involves defining key features, setting technical and business requirements, and aligning all stakeholders on project goals. Engineers and project managers sift through extensive documentation, coordinate with suppliers, and ensure components meet project criteria, making this phase time-consuming and complex.
Hidden costs in this phase are significant. Delays can lead to project overruns, increased costs, and missed market opportunities. Misalignments and last-minute changes often disrupt schedules and escalate costs. Errors made during this phase can result in costly redesigns, delays, and potential product failures.
AI, particularly large language models (LLMs), excels at handling knowledge work efficiently. In the research and planning phase, AI's ability to distill and organize information is invaluable. LLMs can digest, interpret, and synthesize vast amounts of data, helping your team find the best approach for your projects.
Flux Copilot, an advanced multi-modal LLM, integrates seamlessly into your existing hardware design workflows. Regardless of the EDA tools your company uses, Copilot centralizes all relevant data into a comprehensive knowledge graph, including datasheets, requirements documents, and your organization's best practices.
Understanding your project's context—such as the Bill of Materials (BOM), netlist connections, and specific requirements—Copilot automates routine tasks. It can read and interpret datasheets, suggest components, and generate initial architectural designs, allowing engineers to focus on strategic and creative work.
With Flux Copilot, you can efficiently capture and utilize requirements throughout the design process.
You can start by directly telling Copilot your project requirements, which can be captured as properties. These properties provide Copilot with the necessary context to assist you effectively, covering technical specifications, design constraints, performance metrics, and other essential parameters.
Additionally, you can feed Copilot your product meeting notes and other information sources. Copilot will analyze this information to create a complete set of requirements, ensuring that nothing is missed and all stakeholders are aligned. By centralizing requirements, Copilot helps prevent miscommunication and ensures smooth collaboration.
Traditional architectural design processes rely on familiar templates and past experiences, which can lead to missed opportunities for optimization. Copilot changes this narrative by empowering teams to explore a broader range of architectural variations.
By leveraging AI to generate and evaluate different design options automatically, Copilot enables teams to iterate and assess multiple designs in minutes. Then, with a breadth of options to choose between, Copilot helps teams identify the most optimal architecture for their project, leading to improved performance, reduced costs, and faster development times. AI-driven architectural design ensures that all potential configurations are considered, leading to better-informed decisions.
Read our blog to learn more about how Copilot assists in the architectural design process.
AI can revolutionize the architecture design review process by automating the tedious and time-consuming aspects of reviewing architectural plans against system descriptions. Copilot can be seamlessly integrated into your project, providing comprehensive insights into your architectural designs, including material specifications and structural interconnections. By aligning Copilot with your design goals and organizational best practices it ensures compliance with industry standards and your organization’s design constraints.
For example, Copilot can scrutinize material specifications and structural configurations, highlighting areas that require corrections or improvements. It can automatically verify design goals such as sustainability, cost efficiency, and safety conditions. By automating these checks, AI allows architects and engineers to focus on more critical, high-level tasks, thereby enhancing the overall efficiency and accuracy of the design process.
This accelerates the design review process and ensures that architectural designs are robust, reliable, and ready for implementation. Integrating AI into the design review workflow ultimately leads to faster, more efficient development cycles and higher-quality architectural designs.
One of the most time-consuming tasks in hardware development is researching and selecting the right components. Copilot streamlines this process by using AI to analyze datasheets and suggest components that meet your project's specific requirements.
By leveraging AI, engineers can quickly evaluate dozens of components and alternatives to guarantee that the final selection aligns with technical specifications and project constraints. Compared to manual component research and selection, AI-powered research reduces the risk of errors and the associated time requirements.
Read our blog to learn more about how Copilot can streamline the component research process.
Creating high-quality parts from datasheets is an integral part of the design process, but its manual nature makes it tedious and time-consuming. Copilot automates this process by generating accurate and consistent parts quickly. Simply upload the PDF of a datasheet to Copilot, and it will create a schematic symbol, footprint, and 3D model for your use.
Compared to creating parts by hand, this automation speeds up the development process and ensures that parts are created to a high standard. Where most PCB layout errors result from incorrect component footprints, AI-generated parts reduce the risk of errors and inconsistencies. And the ability to quickly generate parts from datasheets allows teams to focus on more strategic aspects of their projects.
Read our blog to learn more about how Copilot can create parts from datasheets in seconds.
Optimizing the research and planning phase in hardware development is crucial for ensuring project success. Flux Copilot addresses the inefficiencies in this phase by centralizing data, facilitating collaboration, and automating routine tasks. With these features, Copilot can increase your team's efficiency by up to 10x, all within the confines of your existing EDA tools and workflow.
Ready to revolutionize your hardware development process with Flux Copilot? Be among the first 10 customers to benefit from our preferred partner pricing and gain access to our development team for personalized support. Sign up for Flux today to learn more and start your journey toward a more efficient and innovative hardware development process.
Discover how CAD Librarians can leverage Flux’s key capabilities—AI Part Imports, Component Updates, Live Pricing, and JEP30 Export—each tailored to meet the specific demands of maintaining PCB libraries.
Streamline component research with Flux Copilot. Copilot links to components for quick part research, offering multiple options tailored to your needs, and find part alternatives effortlessly without switching between tabs and platforms.
With Flux, enterprises can take their architectural ideas and use AI to transform those ideas into actionable items. With Copilot, your enterprise can generate schematics, perform AI design reviews, and even identify PCB technology, budgets, and timelines well in advance of any manufacturing.
Flux Copilot helps your team tackle the complexities of PCB cost optimization, identifying hidden savings and providing engineers with actionable insights to streamline design processes and reduce costs.
Avoid costly errors in your PCB design with these expert tips! Discover the 5 most common mistakes in trace width, vias, power planes, and more. Learn how Flux’s AI Copilot helps you catch these issues early, ensuring your board is ready for manufacturing.
Today, we’re excited to share our Summer Update to Flux AI Auto‑Layout, a collection of improvements designed to make one‑click PCB routing more reliable, transparent, and adaptable to your real‑world workflows.
This post will give you a deeper understanding of how Flux Copilot works, how large language models (LLMs) and agentic systems operate under the hood, and why grounding them in engineering context matters.
We want to make this process as easy as possible for all Flux users. So, after hundreds of hours of testing and talking to dozens of real users, we’ve put together six prompting tips that will help you get the most out of Copilot. Read on to learn more!
This update brings more than just polish—it’s the foundation for a faster, more fluid design experience, built around the way Copilot is used today and the way we see it evolving tomorrow.
With Copilot, the brainstorming process is easy. Given your requirements, just prompt Copilot and it will dynamically generate and evaluate architectural variations, balancing technical specifications and regulatory requirements in real time.
Explore more than 20 new Flux Copilot prompts for hardware design. Accelerate brainstorming, component selection, validation and design review to streamline your PCB design.
We're excited to reveal a major upgrade - Flux Copilot is transitioning from being a helpful guide to a proactive partner. It no longer just advises but, with your approval, can now wires components together! This is a small step towards fully generative AI, reducing the time and complexity often associated with component connections.
