AI agents can write the code.They can't see if the board is working.
Crouton gives your AI assistant live eyes on your actual circuit. It can see what's connected, what's powered, and what's wrong. No more guessing.
Pull a wire. Watch the agent catch it.
// monitoring - pull a wire to inject a fault ▋
Scripted replay. Field format matches Crouton's MCP stream: per-channel V= / C= / STATE=. Simulated readings reviewed for electrical accuracy.
Agents are debugging blind.
The bottleneck in hardware bring-up is not code generation. It is fault localization from live electrical state. Every AI tool today stops at the software boundary.
Is it wired wrong, or is the code wrong?
Your agent generates firmware. You flash it. Nothing happens. Without live circuit data, neither you nor your AI has any idea which layer failed.
Every debug suggestion is an educated guess.
Language models reason over text. They cannot measure voltage, continuity, or signal presence. Every fix they suggest is based on inference, not measurement.
Shorted rails. Fried parts. No warning.
Without live monitoring, you find out about a shorted rail or over-voltage only after something stops working. Sometimes only after it burns.
Agent sees circuit topology in real time.
Crouton streams per-node connectivity data via MCP. Your agent knows what is actually connected before suggesting a fix.
Every suggestion grounded in real measurements.
Live 64-channel readings land directly in the agent context window. Voltage, continuity, signal presence: actual hardware state, not inference.
Faults logged the moment they happen.
Continuous rail monitoring detects shorts, brownouts, and over-voltage, then surfaces them in the agent context immediately. Catch fault conditions during the debug loop before you re-flash and damage a second part.
Two layers working together so building electronics stops being a fight.
- Meet Crouton
A breadboard with live circuit visibility.
Same form factor, same hole pitch as the breadboard you already know, with 64-channel muxed sensing, a built-in MCP server, and direct integration into AI agent workflows.
- Breadboard surface
The interface your hands already know.
Plug in your microcontroller, sensors, and jumper wires exactly as you normally would. No new tools, no special wiring. Crouton is a standard 0.1" pitch breadboard that also reads the circuit.
- Intelligence layer
The sensing layer your agent talks to.
Custom hardware monitors every node in real time: voltages, continuity, signal presence across 64 channels. A local MCP server exposes this live state to Cursor, Claude, Copilot, or any MCP-compatible agent.
Breadboard to agent context, in real time.
Build on the breadboard.
Standard 0.1" pitchUse Crouton exactly like a standard breadboard. Drop in your microcontroller, sensors, and passive components. Connect via USB-C. The MCP server starts automatically and is visible to Cursor, Claude Code, or any MCP client within seconds.
Crouton reads live electrical state.
64-ch muxed / rail + node coverageBuilt-in sensors monitor 64 active nodes (your power rails and component pin rows) in real time: voltages, continuity, signal presence. No manual probe placement, no hunting for the problem wire.
Your agent sees real signal via MCP.
MCP server / Cursor / Claude / CopilotYour AI assistant can see the actual state of your board, not just your code. It knows what is connected and what is powered, so when something is wrong it can tell you why. Works with Cursor, Claude, Copilot, and any MCP-compatible agent.
Crouton is v1. There is more coming.
Building the full stack for AI-native hardware development. Crouton is the breadboard. What comes next follows the same principle: give AI agents real electrical state to work with.
Crouton
The instrumented breadboard. Standard form factor, 64-channel muxed sensing, built-in MCP server. First hardware that gives AI agents live circuit visibility.
- 64-ch muxed sensing
- Rail voltages, continuity, signal presence
- Built-in local MCP server
- Compatible with Cursor, Claude, Copilot
- Standard 0.1" breadboard pitch
Sourdough
Expanded sensing and higher-density board support. Details come as v1 ships and we learn from early builders.
Wholegrain
Full-stack instrumentation for production bring-up and hardware startup teams. More when the time is right.
Built for engineers who build hardware.
Useful at every level.
If you bring up boards, debug firmware, or prototype hardware, Crouton gives your AI what it has been missing: live circuit state, not inference.
Stop flying blind on the bench. Live voltage, signal presence, and connectivity across monitored nodes, streamed straight into your agent's context. Real data, real fixes.
Cut bring-up time. AI agents with live circuit data compress the loop from first prototype to working board, without a full hardware team.
Turn a weekend project into a working prototype. When your circuit acts up, Crouton gives your AI the exact fault data. Fix the problem, not a guess.
Get unstuck on lab projects in minutes, not hours. Stop staring at a circuit that should work. Crouton tells your AI what is actually happening on the board.
Prototype hardware without deep embedded expertise. Crouton gives your AI the circuit visibility to go from schematic to working board, without paying for debug hours.
Continuous monitoring for sensor arrays and experimental rigs. Live data in agent context, not hours of offline waveform review.
Limited spots for v1
hardware.
Building Crouton for engineers who need this now. First batch goes to people building real hardware, not speculative signups.
// “Finally. I spend more time hunting wiring bugs than writing firmware.” - Embedded systems lead, robotics startup
- First batch ships to waitlist - limited v1 units, no waitlist inflation
- Early-access pricing locked for waitlist members
- Behind-the-scenes build logs and design decisions
- Direct input into what Crouton ships with