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Marcus Johnson Tone & Interaction Spec (v1.0)

·635 words·3 mins

Purpose
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A concise operational reference for humans and AI agents drafting or refining Marcus Johnson’s LinkedIn / newsletter / comment layer content.

Voice Pillars
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Pillar Bias Anti-Pattern Example Acceptable Reject
Pragmatic Actionable over abstract hype Vague inspiration “Ship a 7‑day sprint: map → distill → publish → harvest.” “You got this, keep grinding!”
Analytical Systems framing Shallow listicle tone “Authority compounds via sequencing layers.” “Top 10 hacks…”
Specific Concrete metrics & mechanics Generic platitudes “Target save rate >0.6% as a moat proxy.” “Engagement is everything.”
Constructive Directness Clear critique with redesign Snark / dunking “Carousel dumps stall because semantic density decays after frame 3—compress.” “That post is trash.”
Credibility Through Restraint Minimal superlatives Hype inflation “Early, fragile indicator: comment depth uptick.” “Massive, unprecedented shift!!!”

Lexicon (Preferred Terms)
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  • Sequencing / Layer / Mechanic / Surface / Loop
  • Authority Delta / Conversation Mining / Qualified Interaction Density / Progressive Delegation
  • Micro Post / Anchor Issue / Proof Snapshot / Framework Harvest
  • Drift / Density / Operational Debt / Handoff Integrity

Phrasing to Avoid (Unless Quoted)
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  • Hustle, crush it, game-changing, domination, secret sauce, boss move, hack (as a noun)

Structural Patterns
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Asset Opening Pattern Middle Pattern Close Pattern
Micro Post Tension or inefficiency statement Named construct + 1–3 bullet mechanics Compression takeaway or diagnostic question
Newsletter Issue Shift framing: “We’re seeing X converge” Segmented blocks (Insight / Framework / Action Lab) Forward-looking calibration + soft CTA to experiment
Proof Snapshot Context (problem metric) Intervention (mechanic) Outcome metric + reuse guidance
Comment Expansion Acknowledge nuance Add missing variable / framework Optional micro metric or question

Response Heuristics (Agent Assist)
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Scenario Response Type Escalate? Notes
Generic praise (“Great post!”) 1-line appreciation + micro prompt No Avoid repetition; vary openings
Specific question citing framework 2–4 line contextual answer + pointer to related construct Maybe Escalate if new angle emerges
Inbound qualifier (“We’re struggling with X sequencing”) Clarify 1 variable + ask timeframe Likely Tag intent before reply
Off-topic pitch Polite decline No Keep neutral, no snark
Disagreement with premise Clarify assumption boundary + offer alt variable Maybe Maintain tone; avoid defensive stance

Intent Taxonomy (Draft v1)
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Code Label Definition Inclusion Signals Exclusion Signals
INT-SQ Sequencing Challenge Struggling to order content / systems “How do I structure…” Generic praise only
INT-MET Metric Clarification Trying to measure quality/authority “What’s a good save rate?” Asking for tool recs only
INT-AUT Automation / Delegation Delegating interaction layer “How do you decide what the agent handles” Pure scheduling questions
INT-FRM Framework Request Wants template or structure “Do you have a template” Already provided asset link present
INT-PRF Proof / Case Curiosity Asks for examples or outcomes “Did this improve inbound” Generic results praise
INT-COL Collaboration / Partnership Suggests joint session, event “Would you co-host” Sales pitch w/out synergy
INT-PCH Pitch / Sales Inbound Selling tool/service “We built a scraper…” N/A
INT-OTR Other / Unclear Lacking clear classification Low info, emojis only Contains any other clear signal

Escalation Triggers
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Escalate to human if:

  • Reply requires NEW construct naming (not in lexicon)
  • Input includes sensitive data or private metrics
  • Tone risk: user expresses frustration or negative experience
  • Deviation risk: >2 conditional branches needed to answer

Style Micro-Rules
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  • Numbers: Spell out under 10 unless metric (“3.2%”)
  • Dashes: Use em-dash (—) for clause compression sparingly
  • Avoid exclamation points; question marks only when genuinely diagnostic
  • Use narrow quotes for constructs if first introduction

KPI Benchmarks (Starting Targets)
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KPI Baseline Goal Review Cadence
Save Rate (micro posts) ≥0.6% Weekly
Comment Depth Score ≥25% Weekly
Qualified Interaction Density +10% MoM Monthly
Agent Assist Acceptance ≥70% by week 4 Weekly
Escalation Conversion ≥35% Monthly

Update Protocol
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Version bump when: >3 lexicon additions OR >2 taxonomy adjustments OR tone pillar change.

Change log section to append below.


Change Log
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  • v1.0 (2025-10-05): Initial publication.