SchAI is an electronic design assistant for schematic generation, reconstruction, symbol creation and circuit review. Explore recorded Board and IC workflows, including historical simulation results; the editor and original Agent records are currently in Chinese.
Design separate native USB and serial programming paths with MCU power and boot circuits.
Design MCU power, crystal, and button circuits and connect the minimum-system modules.
Describe functions, power supplies and interfaces. Follow component selection and circuit connections in a real editor, with the recorded Agent process alongside the design.
Build a bandgap reference and explore recorded operating points and parameter changes.
Explore analog circuit construction and parameter iterations alongside recorded operating points, frequency responses and transient waveforms, with the actual outcome of each attempt.
Reconstruct input filtering, output configuration, and decoupling connections for the low-noise regulator.
Reconstruct components, parameters and connections from reference circuits. Inspect editable schematics, circuit structure and key nets against the source material.
Define timer trigger, threshold, and discharge pins from the supplied pin references.
Organize pin numbers, names and electrical types from device references to create schematic symbols and properties. Explore the process and results through recorded cases.
Check input, enable, and output settings to assess the LT3042 low-noise supply connections.
Review power supplies, connections and component parameters against design requirements. Inspect the circuit alongside the Agent’s recorded findings and reasoning.
Evaluate the engineering output and the effort required to produce it.
Explore the benchmarkDesigning from requirements, reconstructing a reference, creating a symbol and reviewing a circuit have different inputs, outputs and acceptance criteria. Evaluating each goal separately shows where the agent performs well and where it still needs improvement.
| Task category | Assessment / 100 | Mean duration | Mean model calls | Cache hit rate | Mean input tokens | Mean output tokens |
|---|---|---|---|---|---|---|
| Schematic generation | 85 | 828 s | 25.3 | 94.1% | 1,786,336 | 22,801 |
| Circuit reconstruction | 95 | 136 s | 8.7 | 87.8% | 197,053 | 3,792 |
| Symbol creation | 100 | 87 s | 7.0 | 84.5% | 197,342 | 2,440 |
| Circuit diagnosis | 95 | 27 s | 4.3 | 88.8% | 42,655 | 479 |
Loop rounds count model calls per task. Token counts are accumulated across calls; input tokens include cached input. Cache hit rate is the total cached input tokens divided by total input tokens.
Scores are human assessments of current artifacts, not case pass rates. Mean durations come from recorded runs. Results reflect project artifacts and checks, not physical hardware validation.
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