# Glossary

One-line definitions for every named concept, claim, framework, entity, and pattern in this vault. Follow the [[wikilink]] for the full note.

## Concepts & Frames

- **Interpretible Context Methodology (ICM)** — folder + markdown substrate for AI agent context, replacing orchestration frameworks. → [[concept-icm]]
- **Three Levels of AI Use** — maturity model: L1 copy-paste, L2 structured prompts, L3 integrated workflows. → [[concept-three-levels-ai]]
- **Dialogue as Workflow Structure** — thesis that all skills are codified human–AI conversational decision trees. → [[concept-dialogue-structure]]
- **Real-Time Voice-Driven AI Collaboration** — live voice + LLM + local file system loop run during meetings. → [[concept-voice-collaboration]]
- **Contrarian: Multi-Agent Frameworks are Over-Engineered** — counter-stance to industry orchestration-framework trend. → [[contrarian-frameworks]]
- **Level 1 (L1)** — ad-hoc copy/paste chatbot use; low effort, low impact.
- **Level 2 (L2)** — standardized prompts, brand-tone files, markdown skills; highest-ROI step per source.
- **Level 3 (L3)** — fully integrated automated pipelines chaining skills + scripts.
- **Skill** — a single markdown file encoding Goal, Constraints, Assumptions, Sub-goals for a reusable AI capability.
- **LLM Wiki** — Karpathy-popularized markdown personal knowledge approach; ICM-adjacent.
- **Dialogue tree** — the latent decision structure inside a successful human–AI conversation.

## Claims

- **ICM Outperforms Multi-Agent Frameworks** — single agent over folders beats LangChain/Semantic Kernel for most workflows. → [[claim-icm-superiority]]
- **L1→L2 Yields Highest ROI** — standardizing prompts gives the biggest step-change per unit of effort. → [[claim-l2-roi]]
- **Real-Time Voice AI is the Future** — voice-controlled live meeting agents will replace post-meeting workflows. → [[claim-voice-future]]

## Framework

- **Skill Creation via Dialogue Extraction** — five-step process (Goal → Constraints → Assumptions → Sub-goals → Markdown). → [[framework-skill-creation]]

## People

- **Jake Van Clief** — primary speaker; AI consultant; ICM originator. → [[entity-jake-van-clief]]
- **K. Kumar** — co-founder and student at the University of Edinburgh; built the dialogue decision-tree mapping tool. → [[entity-k-kumar]]
- **David McDermott** — co-participant in the source conversation. → [[entity-david-mcdermott]]
- **Andrej Karpathy** — AI researcher; popularized LLM Wiki / markdown workflow; now associated with Anthropic. → [[entity-andrej-karpathy]]

## Organizations

- **Anthropic** — AI safety lab; creator of Claude; promotes skill-based, structured-context approaches. → [[entity-anthropic]]

## Products & Tools

- **Claude** — Anthropic's LLM family; the model used in all demos. → [[entity-claude]]
- **LangChain** — open-source LLM orchestration framework; contrast example in the talk. → [[entity-langchain]]
- **Semantic Kernel** — Microsoft's open-source LLM orchestration framework; contrast example. → [[entity-semantic-kernel]]
- **11Labs (ElevenLabs)** — AI speech-synthesis and voice-cloning provider; used to clone the speaker's voice for the demo. → [[entity-11labs]]

## Quotes

- **Folders over Frameworks** — *"They're not building multi-agentic frameworks and all these absurdities…"* → [[quote-absurdities]]
- **The ROI of Level 2** — *"The jump from L1 to L2 is the highest ROI move."* → [[quote-l2-roi]]
- **Dialogue as the Core Theme** — *"All of these skills… have one core theme: discussion and dialogue."* → [[quote-dialogue-theme]]
- **Voice Controlling Local AI** — *"What if I could sit inside of a group call and control someone else's Claude code…"* → [[quote-voice-control]]

## Actions

- **Implement Folder-Based Context** — structure agent context as folders + markdown. → [[action-implement-folders]]
- **Standardize Prompts to Reach Level 2** — build shared prompt libraries and skills. → [[action-move-to-l2]]
- **Codify Voice and Tone in Markdown** — write a `voice-and-tone.md` and reference it from prompts. → [[action-codify-voice]]

## Prerequisites

- **Understanding LLM Context Windows** — token economics and context limits required to grasp ICM's efficiency argument. → [[prereq-llm-context]]
- **Familiarity with Markdown** — basic markdown literacy required to author skills. → [[prereq-markdown]]

## Open Questions

- **Scaling ICM to Enterprise Codebases** — does single-agent folder navigation hold up at massive scale? → [[question-icm-scaling]]
- **Security of Real-Time Voice Access** — authentication, permission scoping, and spoofing risks in voice-driven file control. → [[question-voice-security]]