The Scenario
Your customer support team lead is staring at a spreadsheet of your top 10 client accounts. Column A has the TimelinesAI chat IDs. She needs to pull the last 50 messages from each conversation — timestamp, sender, message text — and drop them into a Google Sheet so the team can review response times before Thursday's QBR.
It's Tuesday morning.
The bad version:
- Open TimelinesAI, search for chat ID 001, scroll to the beginning of the conversation, manually copy each message row into the sheet. Repeat for chat ID 002.
- Realize the timestamps are in UTC and the QBR deck needs them in EST. Now you need a conversion column.
- Finish four of the ten chats before the next support ticket comes in. The review never gets done.
This isn't a data problem. It's a tooling problem. The information exists in TimelinesAI. What's missing is a way to get it into the spreadsheet in the shape the analysis needs.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your data and talks to TimelinesAI on your behalf — including fetching message histories from specific conversations.
Get the last 30 messages from each chat ID listed in column A and write them into this sheet with columns for timestamp, sender, and message text
What You Get
- One row per message, written into your sheet with three columns: timestamp, sender name or number, and full message text.
- Messages are pulled for each chat ID in column A — so ten IDs in ten rows produces ten batches of 30 messages each.
- The timestamp column carries the raw UTC time as returned by the TimelinesAI API.
- If a chat ID in column A doesn't exist or returns no messages, that row is flagged with an error note rather than left blank.
What If the Data Is Not Quite Ready
You need timestamps converted to your local timezone
Get the last 30 messages from each chat ID in column A and write them into this sheet with timestamp (converted from UTC to EST), sender, and message text.
You only want messages sent by the client, not the agent
For each chat ID in column A, pull the last 50 messages from TimelinesAI and write to this sheet only the messages where the sender is not an internal agent — include timestamp, sender, and message text.
You want a summary count instead of full message text
For each chat ID in column A, fetch the messages from TimelinesAI and write a row with: chat ID, total message count, first message timestamp, last message timestamp, and average messages per day.
Full audit in one shot
For each chat ID in column A, pull the last 50 messages from TimelinesAI. Write to this sheet one row per message with: chat ID, timestamp converted to EST, sender, message text, and a column flagging any response gap over 4 hours as 'SLA breach'.
The pattern: when the analysis requires cleanup and formatting, include it in the same prompt as the export.
Try It
Get the 7-day free trial of SheetXAI and open the sheet with your chat IDs in column A — then ask it to pull the conversation history and write it into the sheet for your response-time review. If you need timezone conversion or SLA flagging, add that to the same prompt. See also: listing all active chats and the full TimelinesAI overview.