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Pretty good project, though the visual media space is super competitive.

Testing actions instead of text is the right move, but coverage will lag as real world edge cases evolve.

Agreed! Static coverage will always lag behind real-world edge cases. The plan is to expand attack packs continuously and eventually support runtime testing alongside static analysis. Right now the goal is covering the baseline adversarial cases that most teams ship without testing at all.

This mostly mirrors how humans already work, so it's not surprising it helps, the real question is how well the "manager" holds up as tasks and dependencies get messy.

People aren't just reading for information, they're reading for a voice, and AI tends to flatten that into something generic.

You can run multiple coding sessions technically, but human cognitive limits are the real bottleneck.

AI won't replace developers. It shifts work to specifying, validating, and managing complexity. Real gains come from human orchestrating AI, not from AI working alone.

Neat experiment. The ui could use a tweak. Unlike GPT, the question and answer aren't visible typing which makes the layout feel less seamless.

Really fun project. I like how you handled the collisions and edge cases for the ball experiment.

Good idea for quickly experimentally across many models on one site. This has a lot of competition from what I have see.

Key takeaway: AI agents follow their goals, not your rules. Isolation and review are the only ways to stay safe.

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