Monitors BlueSky engagement, fetches counts for posts marked as “Posted,” and updates the Google Sheet daily to keep your content calendar current.
The AI agent pulls rows marked as 'Posted' from Google Sheets, filters to recent posts, and retrieves current metrics from BlueSky. It updates the Like Count, Repost Count, and Reply Count columns in your sheet in one automated pass. This delivers an up-to-date content calendar and reliable reporting without manual data entry.
Executes a tight, end-to-end flow to keep metrics accurate.
Fetches rows with status 'Posted' from Google Sheets.
Filters to posts published in the last 14 days.
Queries the BlueSky API for latest Like, Repost, and Reply counts.
Handles deleted posts gracefully to avoid workflow breaks.
Updates Like Count, Repost Count, and Reply Count in the sheet.
Logs changes and notable anomalies for auditing.
This AI agent consolidates scattered data into a reliable daily feed. It replaces manual checks with a repeatable automation that updates counts automatically.
A simple 3-step system that non-technical users can follow.
Pull rows in Google Sheets with the status 'Posted' and filter to posts from the last 14 days.
Ask the BlueSky API for the current Like, Repost, and Reply counts; handle missing posts without failing.
Write updated counts back to the sheet and log any anomalies for review.
A realistic daily run in a typical content calendar.
Scenario: A company maintains a Google Sheet with 30 posts labeled 'Posted'. At 9:00 AM daily, the AI agent fetches rows posted in the last 14 days, queries BlueSky for each post, and updates Like Count, Repost Count, and Reply Count in the sheet. The run completes in about 90 seconds with no errors; the calendar now reflects up-to-date engagement for yesterday and earlier posts, ready for reporting.
Roles that gain reliable engagement visibility.
Keeps daily engagement reports accurate for leadership and stakeholders.
Delivers client-ready dashboards showing performance across posts.
Identifies topics driving engagement to guide content decisions.
Feeds reliable metrics into broader BI or dashboards.
Monitors audience response and trend shifts in near real-time.
Automates cross-channel reporting and reduces manual checks.
Key tools the AI agent uses to collect, fetch, and update data.
Reads rows with status 'Posted' and writes updated Like, Repost, and Reply counts.
Fetches the latest engagement counts and handles deleted posts gracefully.
Triggers the run once per day to keep data fresh without manual start.
Practical scenarios where this AI agent adds value.
Common questions about setup and operation.
The agent reads a Google Sheet with a posted status column and uses the BlueSky API to fetch current engagement metrics. It assumes columns for Post Link, Posted At, Like Count, Repost Count, and Reply Count exist. If a post is missing or deleted from BlueSky, the agent logs the incident and continues with other rows. No data is stored outside the sheet unless you enable logs. Access to BlueSky via a handle and app password is required for API access.
The agent is designed to work with a sheet that includes key columns for links, dates, and engagement counts. To support multiple sheets or schemas, you would configure separate runs or clones of the agent with tailored field mappings. Each run operates independently and reports back any misalignments in column naming. If mappings don’t align, the run will warn you and skip incompatible rows to avoid data corruption.
If a post is deleted or unavailable, the agent gracefully handles the error and continues processing remaining rows. It does not crash or halt the entire run. Deleted posts are marked in the log, and you can review which rows were affected. This ensures a resilient pipeline with complete audit trails.
The agent uses a last-14-days filter to focus on recent activity and reduces API noise. Each successful update writes to the sheet only after the API confirms a value change, and the run is logged for auditing. If a discrepancy is detected, the system flags the row for manual review and rechecks on the next run.
Yes. The window is configurable in the settings, allowing you to widen or narrow the range to capture viral spikes or exclude archived content. Changing the window adjusts which posts are included in each run without altering previously recorded metrics. The agent logs any change to the filter for traceability.
The agent is designed to run on a daily schedule, e.g., 9 AM local time. Scheduling is configured in the orchestration layer or automation platform that triggers the AI agent. You can adjust the cadence to fit reporting cycles, and each run is logged with timestamps and outcomes.
Yes. The agent updates the Google Sheet directly, enabling you to export the range for dashboards or create screenshots for reports. You can also connect the sheet to BI tools or create a custom view for stakeholders. If you need a consolidated PDF/CSV report, you can pull from the sheet using standard export features.
Monitors BlueSky engagement, fetches counts for posts marked as “Posted,” and updates the Google Sheet daily to keep your content calendar current.
