token economics

3 videos across 3 channels

Token-based metrics are proposed as the spine of next‑gen AI organizations, where individual contributors and autonomous AI loops self‑optimize workflows, maintain living knowledge bases, and generate dashboards. The idea blends agentic AI, continuous governance, and iterative experimentation—requiring new development lifecycles, ethical guardrails, and performance incentives that adapt to non‑deterministic systems. In practice, tokens or similar micro‑incentives steer collaboration, accountability, and cost‑effective deployment across evolving, living processes.

How to Build a Self-Improving Company with AI thumbnail

How to Build a Self-Improving Company with AI

The speaker argues that AI can transform companies from rigid hierarchies into self-improving, AI-powered systems by mak

00:13:28
ADLC: Claude Code's New Lifecycle for AI Coding thumbnail

ADLC: Claude Code's New Lifecycle for AI Coding

The video explains why traditional SDLC is inadequate for agentic AI systems and introduces the Agentic Development Life

00:15:24
Copilot CLI Tutorial #2 - Commands thumbnail

Copilot CLI Tutorial #2 - Commands

The video explains slash commands in Copilot style interfaces, how to view and use them, and why different models and se

00:07:33