AI Literacy
7 essays tagged with AI Literacy.
The Glass Runtime: Keeping Humans Close to the Material in an Agentic World
As AI makes output abundant, the central design challenge shifts to preserving human judgment, understanding, intervention, and agency. The Glass Runtime is an architecture for progressive autonomy, inspectable decisions, material-native interaction, reversibility, governed authority, and accountable learning.
AI Tokenomics: From Cost per Token to Cost per Trusted Outcome
AI tokenomics connects cost per token, agentic cost multipliers, routing, evals, governance, and cost per trusted outcome.
AI Does Not Launch Once: Feedback Loops After Go-Live
A plain-English guide to operating agents after launch: corrections, recurring failures, proposal queues, rollout, rollback, and review.
How to Judge AI Work: Scorecards, Not Vibes
A practical guide for business teams evaluating AI agents with scorecards, examples, traces, human corrections, and launch gates instead of demos and vibes.
Trusting AI at Work: Approvals, Boundaries, and Receipts
A plain-English guide to agent trust: what AI can read, draft, send, change, approve, and how receipts make decisions accountable.
Before Your Team Asks for an AI Agent, Map the Real Work
A practical guide for business teams mapping real work before building agents: actors, evidence, tools, decisions, risks, exceptions, and feedback loops.
AI Agents for Business Leaders: Build the Airport, Not Just the Plane
A practical executive playbook for agentic AI: define the work, evidence, authority, scorecards, approvals, security, observability, and improvement loop.