Each AIPE Labs tool owns a clear part of the path from an engineering idea to a result that can be inspected, tested and reused.
AI-assisted power-electronics PCB design in KiCad, with native ERC/DRC checks and a recorded engineering review.
Read https://github.com/FulongLi/AIPE-PCB-Agent and follow its README and docs/agent-workflow.md to help me with my power-electronics PCB task. Inspect my environment first and ask before installing any software. Use KiCad's native ERC and DRC checks, state every assumption, and list everything that still needs human engineering review.
Turn a research idea into an evidence-linked paper plan and a LaTeX workspace built on official IEEE templates.
Read https://github.com/FulongLi/AIPE-IEEE-Paper-Agent and follow its AGENTS.md and core/workflows/idea-to-paper.md. My research idea is: <describe your idea>. Develop a paper plan with testable questions and evidence gaps, then set up a manuscript workspace for my target IEEE venue. Never invent results or references; mark missing evidence as TODO.
Keep the engineering intent in a form that both people and coding agents can inspect.
Use a deterministic backend for the drawing, model, dataset or calculation being produced.
Return checks, warnings and source data alongside the result instead of hiding uncertainty.