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What building with AI taught us.

Frameworks and findings from NSi4's own AI engineering, written up as papers.

All papers.

  1. Prompt Engineering

    Quantifying Prompt Complexity: A Framework for Measuring Information Requirements in AI-Generated Content

    A framework for measuring the information requirements of a prompt - NSi4 research on complexity units, the unified formula and the 80% sweet spot.

    Working paper

  2. AI Orchestration

    AI Multiplication Patterns: Structured Framework for Advanced AI Orchestration

    An eight-dimensional framework for orchestrating AI beyond the single prompt - NSi4 research into AI multiplication patterns, synth and meta-synth hierarchies.

    Working paper

  3. Cognitive AI

    NSI's Laws: Memorable Prompt Engineering for Persistent AI Behavior

    How memorable prompt engineering produces persistent AI behaviour - NSi4 research on the NSI's Laws approach, its methodology and preliminary findings.

    In progress

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