MindFluence

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Persuasion engineered through psychology, not manipulation.

An AI prompt-skill that turns 20 cognitive biases into high-converting marketing copy - for any language, any platform, any audience. v2.3: self-contained core with narrative depth and provenance. All tables, 13 anti-patterns with detection rules, cultural data, and few-shot examples are inlined into SKILL.md. A mandatory PROVENANCE / TRUTH GATE prevents invented numbers, names, and sources. Narrative depth supports two compliant modes: real-data Named Person Story Arc (NPSA) or a labeled [illustrative] fallback. No external file reads required for core operation.

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What is this?

MindFluence is a system prompt (skill) for LLMs - GPT, Claude, Gemini, DeepSeek or any capable model. It transforms the AI into a marketing strategist who understands why humans click, read, and buy - not just what to write.

It’s built on decades of research in behavioral economics and evolutionary psychology: Kahneman’s two systems, Cialdini’s principles, Munger’s psychological misjudgments, Festinger’s cognitive dissonance - distilled into actionable copywriting instructions.

How it works

1. Load SKILL.md as a system prompt into any LLM. That’s it - the file is self-contained for core operation.
2. Give a task: “Write a LinkedIn post about…” / “Create a landing page for…” / “Audit this ad for cognitive biases.”
3. Get output with every bias labeled, every decision explained, every word psychologically justified.

The LLM uses a single-table Bias Selection Router (audience × product × platform → instant bias stack) instead of a 10-step procedure. After generating, it runs a mechanical Post-Generation Verification - 7 checks (numbers, names, fear exit, scarcity explanation, system-blame, human narrative, provenance) - and a mandatory narrative depth requirement: real-data NPSA or a labeled [illustrative] fallback.

Four modes:

• Quick Mode (default) - data provenance audit → router lookup → scenario override → category check → compose → 7-point verify. Fast for user, fast for LLM.
• Deep Mode - the AI asks 5 clarifying questions at once, then routes through the same lookup.
• Audit Mode - analyzes existing copy for biases and anti-patterns using mechanical detection rules (13 anti-patterns including Statistical-Only Fallacy).
• Optimize Mode - iterates on underperforming copy using funnel-to-bias mapping. Generates A/B variants with statistical confidence thresholds. Also handles qualitative rewrites without metrics: tone shifts, bias injection/removal, anti-pattern fixes, audience/platform adaptation (7 rewrite intents).