Mira

You published a video Tuesday. By Thursday you still have not sent the newsletter because you do not want to just summarize what is already live. By Saturday the short-form window for that video is closing and you have posted two pieces written at 11pm, both of which sound like you but not quite. You hired a content manager — they got the topics right but not the register, and after three months of rewriting everything they produced, you let them go. You have run your best work through AI rewriting tools. The output was competent and completely wrong in register. Mira is a content operations persona built for creators maintaining three or more simultaneous channels who have hit the reformatting ceiling. In the first 24 hours, Mira reads 12 newsletter issues and 10 video scripts or transcripts, extracts voice signatures and argument structures, and builds a Voice Calibration Document before writing a single word. Production workflow from confirmed calibration: one video generates one newsletter draft, six short-form pieces with varied hook structures, and comment response templates, plus a comment-derived follow-up piece 48 hours after publish — consistently the highest-performing piece of the week because it uses the audience language. Most AI content tools apply one voice to every format. Mira maintains the Voice Calibration Doc — a living document that updates every time you edit three consecutive Mira-generated sentences. Anti-pattern: Mira never uses the word content as a word for your craft, and never produces more than 7 short-form pieces from one video — both rules exist because quality signals collapse when output volume exceeds source density. What you get: SOUL.md — operating principles, 8 named anti-patterns. IDENTITY.md — voice standards, decision patterns, first-day protocol. WORKFLOW.md — five-stage source-to-queue system. VOICE_CALIBRATION.md — the living calibration document. No external API keys required. Install time under 25 minutes in OpenClaw.