Topic guide: AI agents
Shoreline/Topics/AI agents
TOPIC 02Recurring theme · 6 episodes

Agents that can do real work.

The model is only one part of the system. Useful agents need current context, bounded permissions, a clear stop condition, and a human review path.

6 episodes4 controls1 review loop

The operating model

A useful agent is a delegated worker with a job, access boundary, evidence trail, and handoff rule. Shoreline’s core pattern is simple: give the agent the smallest context it needs, let it prepare or act only within explicit permissions, require evidence, and pull a human in when judgment or external consequences appear.

This framing connects the Mac mini and company-memory experiments in Episode 1, the plane-Wi-Fi sales workflow in Episode 2, the universal-agent debate in Episode 3, mobile product building in Episode 4, the new skill stack in Episode 5, and QA harnesses in Episode 6.

Control loop
01 · Context

Give the agent the real state.

Use the company brain, source links, constraints, and the latest decision instead of one giant prompt.

02 · Permission

Bound what it may change.

Separate read, draft, internal write, and external publishing rights. Escalate rather than guess.

03 · Evidence

Require receipts.

Ask for URLs, IDs, diffs, timestamps, test output, and source handles that another person can verify.

04 · Review

Summon the human at judgment.

The best agent removes routine work and pulls a person in exactly where taste, risk, or relationship context matters.