Analysis & perspective
Claude API and CLI: Running AI Agents Without a Chat Window
Julian Goldie explains the difference between the Claude chat interface, the API, and the CLI, framing the API as the key for businesses wanting Claude to run autonomously inside their own software — sending requests and receiving responses without a human in the loop. The video demos plugging the CLI into an agent OS dashboard to manage multiple cloud-based Claude agents from one interface.
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Related Guides
- Claude Cowork vs API — when to use each approach
- OpenClaw Setup Guide — full Claude Code CLI setup
- Agent Use Cases — real-world automation scenarios
What you can actually set up from this
Extracted from the video's own transcript — the specifics the original summary left out.
Commands & Code Shown
ant auth login
Purpose: Sign the Claude Platform CLI ("ant") in to your Console account (named in the Claude Code docs).
When to use: First step before listing models, managed agents, sessions or files from the terminal.
Reproducible steps
- Know which tool does what
Claude Code builds things (writes and edits code). The ant CLI is a remote control for the Claude API: run a request, list models, inspect managed agents, sessions and uploaded files. They work together — Claude Code can drive ant.
- Keep managed agents as version-controlled files
His managed agents (research, support triage, code review, SEO) are stored as files in version control and updated through the CLI. The claude-api skill recommends ant apply for this.
- Use session traces to see what a cloud agent did
Send an event to a managed-agent session, then pull its trace to read each reasoning and tool step — no clicking through the Console.
- Upload files for cloud agents
Cloud agents cannot see your laptop; upload the files they need through the CLI.
Gotchas
- A leftover ant auth login profile can take precedence over other credentials; the Claude Code docs cover how profiles are ranked and how ant auth logout clears one.





