Inbox Management
Build an AI Inbox Zero System
There are two normal ways to run an inbox and both of them create work. Rules are rigid, so a sender who changes address or a subject line that words things differently slips straight past them. Manual filing is accurate and endless, because you review, classify and drag the same categories of message every single day. This walkthrough builds the third option: a workflow that reads an incoming email, decides where it belongs based on how you have filed similar messages before, and files it. You start from Carly's Inbox Zero workflow prompt rather than a blank page, and you can build it inside ChatGPT or Claude through Carly's MCP. Then you pick a rhythm. Sorting as each email arrives keeps the inbox clean continuously, while running the workflow once at the end of the day leaves everything in one place until you are done working. Pair it with a daily or hourly brief and the sorting stops costing you visibility, because the digest summarises what came in per client or project instead of making you scan for it. The last part is the part rules never gave you: every run is auditable. You can see what triggered it, what the model was handed, how it classified the message and what it did, and when it gets one wrong you correct it in plain English instead of rebuilding a rule tree. Setup is about a minute.
Step by step
- 01
See why rules keep missing things
Outlook and Gmail rules match on fixed conditions, so anything phrased a new way or sent from a new address gets through. Every miss means another rule, and the tree gets harder to reason about than the inbox was.
- 02
Count what manual filing actually costs
Dragging mail into folders is accurate, and that is the trap. It works, so you keep doing it, and you re-make the same handful of decisions every day forever.
- 03
Start from the Inbox Zero prompt
Do not start from a blank page. Carly has a ready-made Inbox Zero workflow template that triages, tags and files every email, so copy that prompt and use it as the base for your own version.
- 04
Build the workflow with ChatGPT or Claude
Connect Carly over MCP and describe the outcome you want in the chat you already use. The workflow gets written from the description, so there is no rules builder to learn.
- 05
Sort as mail arrives, or once at the end of the day
Two rhythms, same workflow. File each message the moment it lands to keep the inbox continuously clean, or leave everything in one place and run a single sorting pass when you finish work.
- 06
Add a daily or hourly brief
Sorting only costs you visibility if nothing replaces it. A digest that summarises what came in per client or project gives you the context back without opening the folders.
- 07
Audit what the workflow decided
Every run is inspectable: what triggered it, what information the model received, how it classified the message and what action it took. You are checking the reasoning, not guessing from the state of your inbox.
- 08
Correct it in plain English
When something lands in the wrong folder, say so and refine the instructions. Adjusting a sentence is the whole fix, which is not something a rule tree ever let you do.
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