The most underrated tool in my AI workflow right now is not Claude Code, Codex, or any agent.
It is Webhooks.
Webhooks are how I pass information between my work laptop, personal system and my Hermes agent.
Three examples from my current setup:
1. My GTM Learning Hub has roughly 500–600 items I captured over the last couple of months.
There is no realistic way I will sit and review all of them manually.
So I use my Hermes agent to pick 5 random unfinished items and send them to my work Slack for review using a webhook.
The database stops being an archive and becomes a daily retrieval system.
2. While working, I often find something I want to explore during the weekend or store permanently in my GTM database.
For that, I built a Chrome extension on my work laptop. It sends the capture to my Hermes agent, which stores it in Notion.
From there, it follows the same loop: get picked up later and reappear in Slack when I am ready to review it.
3. I also use webhooks to move outputs from Codex automations.
Those automations pull from my calendar, Gmail, Granola, and Slack to create a daily morning brief.
An Apple Shortcut on my MacBook sends that brief by webhook to both my work Slack and my Hermes agent.
On Hermes, I translate this brief to a new voice each day using Sarvam.
The broader lesson: AI workflows do not become useful just because a model is powerful. They become useful when information can move reliably between the places where you capture, process, review, and act.
For me, webhooks are becoming that layer. They are the small pipes connecting the whole system.