Agent-building patterns
Every entry teaches one task where an AI agent measurably beats a human. Before-state, after-state, and one sentence naming exactly why the agent wins.
Accountability
Proving agent work actually happened. Scheduling, verifying, and auditing agent outputs so you know the work was done, not just claimed.
No entries yet. The first tutorial in this pillar is in the production queue.
Memory
Persistent state across sessions. Writing, retrieving, and scoping agent memory so the agent gets better with every interaction.
No entries yet. The first tutorial in this pillar is in the production queue.
Visibility
Making agent-built sites visible to crawlers. Exposing content so AI crawlers and retrieval systems can actually read it.
No entries yet. The first tutorial in this pillar is in the production queue.
Agent Teams
Running coordinated multi-agent systems. Composing specialized agents into a workflow with typed handoffs that survive production.
No entries yet. The first tutorial in this pillar is in the production queue.
Scoping
Killing bad ideas before building. Using agents to critique, stress-test, and triage ideas so you do not ship the wrong thing.
No entries yet. The first tutorial in this pillar is in the production queue.
Operational
Task-specific entries that do not fit a single pillar. Competitor pricing watch, issue triage, RSS filtering, and other one-shot utilities.
No entries yet. The first tutorial in this pillar is in the production queue.