The model proposes, the engine disposes. Verifying every LLM-built circuit against the real simulator before it reaches the canvas.
My circuit simulator has an AI tutor. You can ask it to build you a full adder,
and a few seconds later a working full adder appears on your canvas, wired,
laid out, and correct. Every time. Not because the language model is reliable,
but because the system around it refuses to let an unreliable answer through.
That's the interesting part. Anyone can pipe an LLM's output onto a canvas. The
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A browser tool that points your own API key at an adversarial battery and grades every answer with...
Most "AI agent" tutorials wire the model straight to execution: user asks → model decides → system...
If you're building anything with an LLM judge in the loop, this is the failure mode that will get...
A developer's honest field guide to working with LLMs without getting burned. Table of...
