writing-audience-calibration

What problem does it solve?

It fixes writing that fails because it’s calibrated to the wrong reader—too technical, too basic, or framed for an audience that doesn’t match the reader’s knowledge, stakes, or relationship to the topic.

Core Features & Use Cases

• Reader profiling: Builds a concrete reader model (knowledge, role, stakes, relationship, and time) to decide what should be assumed vs. explained.
• Calibration failure detection: Flags jargon without definitions, over-explanation, wrong assumed prior context, wrong emphasis, and incorrect entry point.
• Framing adjustment without substance changes: Rewrites the opening and key framing so the same facts land correctly via mechanism→outcome, policy→specification, and emphasis shifts.
• Targeted output: Produces a calibration report plus a rewritten opening paragraph calibrated to the chosen reader.

Quick Start

Rewrite your existing draft for a specific audience by running writing-audience-calibration and pasting the text plus the reader profile (knowledge level, role, stakes, relationship, and how much time they have).