Actions = Code + Context + Story
Ship work that executes itself and writes the update for you.

⬤Actions run with full context

⬤Every step is logged & linked

⬤Changelogs auto-tailored for each audience

Early access for developers building with AI agents.

• Ship the feature

• Hunt through commits + Slack to write release notes

• Translate for execs, sales, customers—by hand

1. Plan & run → one command spawns an action

2. Capture → code, comments, errors, diffs auto-linked

3. Publish → AI distills the log into feeds:
Customer update, Engineering digest, Sales brief

## Tiny Demo

# create a customer-visible feature

$ mcp action create "Add dark-mode toggle" --visible_to customers

# actions.engineering does the rest

Result: PR opened → tests run → changelog drafted in 3 channels

One dataset, many voices—never rewrite a release note again.

Logs, diffs, decisions follow every action so no one asks "why?" six months later.

Add, remove, decompose actions without losing history or breaking links.

Humans imagine.
Agents execute.
Actions remembers.

The gap between planning and execution closes completely.

Next on deck: live metrics woven into every action loop—no SDKs, no dashboards to wire up.

Early access for developers building with AI agents.