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Frameworks · published in full

Our applied perspective.

Three published frameworks: how to make security authorization evidence-driven, which work AI compresses, and what one person can now produce end to end.

  1. 01

    Philosophy Paper

    Evidence-Sealed Authorization

    A framework for cryptographically verifiable security compliance infrastructure

    A proposal for modernizing software security authorization through machine-generated evidence and automated control evaluation.

    14 March 2026 · 15 min read

  2. 02

    Decision Framework

    Task Compression Framework

    Which work is vulnerable to disruption by AI, agents, and robotics — and which becomes more valuable.

    A structured method for scoring tasks, not titles, so you can see which parts of your work are being compressed, which become more leveraged, and which become more valuable because they remain distinctly human.

    Version 1.0 · 12 March 2026 · 12 min read

    For Workers · Founders · Operators · Investors

  3. 03

    Decision Framework

    Outcome Leverage Framework

    What a person can produce end-to-end with current LLM access, how good it is, and how much value it displaces.

    Modeled outcome-level scores across 16 dimensions measuring achievability, output quality, displacement value, and contextual modifiers. Scored 1 to 5 per dimension to produce a Raw Achievability Score, a Displacement Multiplier, and a composite Outcome Leverage Score. These are modeled estimates for current commercial LLM capabilities as of early 2026, not predictions about future models.

    Version 1.0 · 21 March 2026 · 18 min read

    For Workers · Founders · Operators · Investors

Used together

Task Compression tells you which parts of your role are under pressure, and Outcome Leverage tells you what you can produce right now to capture value from that pressure. The first is strategic, the second operational.

Book 30-Minute Briefing