Operations Guide
How to Keep Track of Your Automations
A practical guide to documenting, organizing, and tracking automations before they sprawl across too many tools.
Do you have dozens of automations built over the years, but can no longer remember what you automated or where each workflow lives?
If you are using tools like Zapier, Make, or n8n, this tends to happen quickly. Automations accumulate, spread across platforms, and become harder to track over time.
This guide covers simple ways to keep your automations organized, from basic documentation to more structured systems.
What is an automation inventory?
An automation inventory is a structured list of all the workflows you have built across different tools.
It typically includes:
- a name
- a short description
- the platform it runs on
- a link to the workflow
- how it connects to other automations
The goal is simple: know what exists, why it exists, and how everything fits together.
Why tracking your automations becomes a problem
At the beginning, everything is easy to remember.
But over time:
- automations live in different tools
- workflows depend on each other
- some processes break and nobody notices
- documentation is either missing or outdated
Most teams do not maintain a proper inventory unless there is a clear system in place.
6 ways to keep track of your automations
1. Use text files
Text files are basic, but reliable, searchable, and timeless. You can also version-control them.
Keep a folder with one file per automation. Add a tag like #automation, a description, and links to documentation, code snippets, or related resources.
The main advantage is durability. If something breaks or needs to be rebuilt elsewhere, you already have the necessary information. You can also explain why you chose a specific approach.
If you already have many automations and no time to document everything, start with the next one you build, then work backwards.
If your setup is small, a single plain text note can also work. Just include a title, description, platform, link, and optionally a short changelog.
2. Use a note-taking app
Another option is to document your workflows in your preferred note-taking app.
If you already use Apple Notes, that may be enough. It is simple and syncs across devices. If you need more structure, tools like Obsidian, Logseq, or Capacities offer better organization and linking.
Other options include:
- Microsoft OneNote
- Notion
- Google Keep
The advantage of more advanced tools is cross-referencing. For example, if Workflow A sends data to Workflow B via a webhook, you can explicitly link them together.
3. Use your LLM as an assistant
An LLM can help you stay organized.
It can generate titles, summaries, and key points for each automation once you are done building it. It can also help you document decisions and explain the logic behind a workflow.
The limitation is that an LLM does not maintain a structured inventory by itself.
In practice, it works best when connected to a system like Notion or Google Drive, where it can write and update documentation for you. AI-first tools like Mem can also be useful.
Once your automations are documented somewhere, you can point your LLM to those documents to update or evolve them with proper context.
4. Use a database tool (Airtable or Notion)
If you have many automations, especially with cross-connections, a database-style tool is often more practical.
A tool like Airtable lets you sort, filter, and structure your automations. You can also use interfaces to get a clearer overview.
Notion offers a mix of documents and databases. You can track automations in a table while keeping detailed notes in the same place.
Templates can help you get started quickly, such as workflow trackers or automation workspaces.
5. Consolidate into one platform
If your automations are spread across Zapier, Make, and n8n, one option is to move everything to a single platform.
The benefit is simplicity. Fewer tools, fewer places to check, and a more consistent setup.
The drawback is losing platform-specific features:
- Zapier Canvas
- Make's aggregators and iterators
- n8n self-hosting
- collaboration features in tools like Relay.app
Migration can also take time depending on how many automations you have.
Conclusion: manual vs automated tracking
The simplest way to track automations is to write them down.
The main limitation of manual tracking is that it does not scale well.
Once you have many connected workflows, documentation becomes harder to maintain. In most teams, it eventually falls out of sync with reality.
This is where a more automated approach starts to make sense.
In many cases, a simple system is enough:
- a title
- a short description
- a link to the workflow
That alone already improves clarity a lot.
However, if you are using many services and do not want to maintain documentation by hand, you may want a dedicated tool.
Tools like Atlapse provide a central dashboard to track automations across platforms such as Zapier, Make, n8n, GitHub Actions, Mailchimp, Monday, Airtable, Asana, IFTTT, Stripe Workflows, Relay.app, and Power Automate.
Instead of maintaining notes or files, you get a live view of what exists, where it runs, and what needs attention.
We ran into this problem while managing automations across multiple tools. None of the manual methods fully solved it, which is why we built Atlapse.