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ConsultantsGrok + Claude

Cut client writing from 30 hours a week to 3 with research bots and a human voice pass

Result

self-reported

Reduced client writing workload from 30 hours a week down to only 3 hours a week.

Phil Henderson (ghostwriter since 2004) runs daily Grok automations that find hot topics per client niche, then uses Claude or ChatGPT for a plain first draft, checks it in Pangram, applies the client’s voice profile, and finishes with a human edit before the client publishes.

Who did it

Phil Henderson (@Phil_h_moreuio)Ghostwriting / consulting (with VA Claire)Phil Henderson on X (article) · Oct 10, 2026

Try it now

  1. Set a daily research automation that drops niche topic ideas into a shared Drive folder.
  2. Let the client pick the topic before anyone writes a full draft.
  3. Generate a plain first draft with Claude or ChatGPT, run it through an AI detector as a edit cue (not a verdict), apply the client voice profile, then hand-edit before final review.
Copy-paste prompt
You are my ghostwriting research desk for client [name], niche [topics]. Every morning find 4–5 timely angles with a one-line why and a source link. Save them to [Drive folder]. Do not write the full article until the client picks one. When drafting: vanilla first pass only — no voice profile yet. Flag anything you invented.

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What to watch out for

Self-reported by Phil. Detectors are a starting cue for the next edit, not proof of “human.” Don’t publish 100% AI copy as if it were fully handwritten. Build it with Page: a private topic-picker page clients can approve from.

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