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// Video / AI workflows

Build an AI workspace that learns you

Stop memorizing every narrow AI interface. Build portable context that makes a general agent useful to your actual business.

12-minute walkthrough Three-file setup Live demonstration
Problem

Narrow tools and interfaces expire quickly.

Asset

Your accumulated business context stays portable.

Seed

AGENTS.md, learnings.md, and brand-guide.md.

Leverage

Controlled access turns context into useful action.

The Durable AI Skill

Most people approach AI by learning a growing collection of specialized tools. That knowledge decays whenever a product changes, gets absorbed into a larger platform, or disappears.

A better investment is the context layer around a capable general agent: what the project is, how the business works, what good output looks like, what systems are available, and what the previous work session learned.

The Smallest Useful Workspace

  • AGENTS.md explains the project, operating rules, locations, and constraints.
  • learnings.md preserves only the durable facts future sessions genuinely need.
  • brand-guide.md defines the visual and verbal standard for public work.
  • assets/ keeps approved logos, media, references, and reusable material close to the work.

The Compounding Loop

Before work, the agent reads the project context. During the session, it uses controlled access to the systems it needs. After useful work, it updates only the few facts that will make the next session faster or more accurate.

The model can change. The interface can change. The workspace remains a portable business asset that improves through use.

Chapters

  1. 00:00 Stop learning every shiny AI tool
  2. 01:42 A folder can become the agent
  3. 02:18 The self-learning loop
  4. 03:11 Brand context and portable knowledge
  5. 04:38 Grant access like onboarding an employee
  6. 05:51 Build the folder live
  7. 08:42 Inspect the three-file skeleton
  8. 09:21 Add controlled website access