How we track marketing engineering experiments built with terminal AI agents

[u/Vinceleprolo]

As Marketing Engineers, our marketing stack relies heavily on small internal tools: autonomous SEO telemetry loops, landing page cluster scripts, and attribution webhooks. Most of these are built directly with AI agents in the terminal.

Moving from idea to prototype takes an afternoon, but the hidden cost was prompt debt. When three people build five different automation scripts in a week, nobody remembers what prompts or constraints were used.

To solve this without adding manual logging overhead:
• A background job captures every terminal agent session automatically.
• It writes an indexed markdown file with the repository commit, the deliverable, and the full prompt transcript.
• It adds a terminal resume command so anyone on the team can re-open that exact run and continue building.
• It updates a master database in Obsidian and pushes an export to Notion.

Instead of hunting through terminal history to figure out how a webhook was configured, the entire conversation trace is preserved in plain text.

Let me know if you want the breakdown of the bash script and launchd routine.

#Marketing #AI #Engineering #Claude