Ben's Voice Engine

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Drafts and scores multi-channel marketing content with deterministic linting and rubric scoring to match Ben van Sprundel's distinct voice.

Ben's Voice Engine is an automated drafting and tone calibration skill built directly on an empirical corpus of newsletters, LinkedIn posts, Circle community replies, Slack messages, and YouTube scripts. It operates a two-layer validation workflow: running a deterministic Python linter to enforce hard stylistic non-negotiables (such as forbidding em dashes and AI clichés) followed by an LLM-based rubric that scores directness, practitioner register, opinion alignment, specificity, structure, and length calibration. It is ideal for teams and creators who need authentic, calibrated copy that avoids generic AI jargon while adhering strictly to specific brand values and channel formats.

Key Features

01Automated feedback and redraft loop requiring a passing score before publishing
02Strict negative filtering against corporate jargon, em dashes, and AI cliches
03Empirical length, formatting, and structural benchmarking derived from real corpus data
04Multi-channel voice calibration for LinkedIn, newsletters, Circle, Slack, and video scripts
0559 GitHub stars
06Two-layer review combining deterministic regex linting with LLM rubric grading

Use Cases

01Drafting authentic newsletters, LinkedIn posts, and video scripts matching personal brand tone
02Generating context-aware, grounded replies for Circle community forums and Slack threads
03Judging and scoring existing copy drafts against brand voice guidelines and value pillars