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HAS-D is being built in public. That means the framework gets sharper through three kinds of input from the people working on the ground. Feedback: reactions to the premises, what's missing from v1.0, where the framing falls short. Testing: stories from real products, where the triad held, where it broke, what you learned applying it. Contributing: prior art HAS-D should be citing, phenomena worth naming, concepts that need sharpening. If you've got any of it, send it.