The Scenario
Your customer support team lead is staring at an Excel workbook with 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 — 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 workbook. Repeat for chat ID 002.
- Realize the timestamps are in UTC and the QBR deck needs them in EST. Now you need a conversion worksheet.
- 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 workbook in the shape the analysis needs.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your data and talks to TimelinesAI on your behalf — including fetching message histories from specific conversations.
Pull all messages from the chat with ID in cell B2 into my Excel sheet, one message per row with the timestamp and sender
What You Get
- One row per message, written into your workbook with three columns: timestamp, sender name or number, and full message text.
- Messages are pulled for the chat ID specified — and if you have a list of IDs in column A, SheetXAI handles each one in sequence.
- The timestamp column carries the raw UTC time as returned by the TimelinesAI API.
- If a chat ID 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
For each chat ID in column A, get the last 30 messages from TimelinesAI 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 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 workbook 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 Excel workbook with your chat IDs in column A — then ask it to pull the conversation history and write it into the workbook for your response-time review. Add timezone conversion or SLA flagging to the same prompt. See also: listing all active chats and the full TimelinesAI overview.