How to Build an Automated Timesheet Summary with Paradime, OpenClaw, and Google APIs

Every Friday at 5 PM, your week's calendar events are analyzed, categorized by project, and written to a timesheet — automatically. No more end-of-week scrambles reconstructing where your hours went. In this guide, you'll wire together Paradime's Bolt scheduler, OpenClaw's AI agent SDK, Google Calendar API, and Google Sheets API into a fully automated timesheet pipeline.

This is an incident-friendly guide. Every section prioritizes reproducibility, time to first clue when things break, and minimal fixes to get you back on track.

What Is Paradime?

Paradime is an all-in-one AI-native platform for analytics engineering that replaces dbt Cloud™. It provides a complete workspace for coding, shipping, fixing, and scaling data pipelines — built for fast-moving teams.

Key capabilities relevant to this guide:

Bolt is the engine that will run our timesheet script on a cron schedule. It supports Python script execution natively via Poetry environments, meaning you can poetry install your dependencies and run custom Python scripts alongside dbt™ commands.

What Is OpenClaw?

OpenClaw is an open-source personal AI assistant that runs on your machine (Mac, Windows, or Linux). It connects to Anthropic, OpenAI, or local models and acts as a 24/7 autonomous agent with access to its own computer — browsing the web, managing calendars, reading/writing files, running scripts, and more.

For this guide, we use the openclaw-sdk — the Python SDK that lets you programmatically interact with OpenClaw's AI agent capabilities:

Key OpenClaw features we'll leverage:

The AI agent's job is to interpret calendar event titles, descriptions, and attendees — then categorize each event into a project or client bucket and estimate hours.

Architecture Overview

Before diving into setup, here's how the pieces fit together:

Figure 1: End-to-end flow — Bolt triggers the Python script every Friday, which fetches calendar events, uses OpenClaw to categorize them, and writes the summary to Google Sheets.

Setup: openclaw-sdk + Google Calendar API + Google Sheets API

Prerequisites

Step 1: Create a Google Cloud Project and Enable APIs

1. Go to the Google Cloud Console.

2. Create a new project (e.g., timesheet-automation).

3. Enable Google Calendar API: Enable Calendar API

4. Enable Google Sheets API: Enable Sheets API

Step 2: Create a Service Account

For a headless Bolt environment (no interactive OAuth possible), use a service account:

1. Navigate to IAM & Admin > Service Accounts in Google Cloud Console.

2. Click Create Service Account — name it timesheet-bot.

3. Grant no additional roles (API access is enough).

4. Click Keys > Add Key > Create new key > JSON.

5. Download the JSON key file. This becomes your GOOGLE_CREDENTIALS_JSON.

⚠️ Security Note: Never commit this JSON file to git. Store it as a Paradime Bolt environment variable.

Step 3: Share Resources with the Service Account

• Google Calendar: In Google Calendar settings, share your calendar with the service account email (e.g., timesheet-bot@your-project.iam.gserviceaccount.com). Grant "See all event details" permission.

• Google Sheets: Open your timesheet spreadsheet and share it with the same service account email. Grant Editor access.

Step 4: Install Python Dependencies

In your dbt™ project root, create a pyproject.toml with Poetry:

Install locally:

Step 5: Configure OpenClaw SDK

Obtain your OpenClaw API key from the OpenClaw dashboard and test the connection:

Verify via CLI:

The Script: Analyze, Categorize, Estimate, Write

Here's the complete timesheet_agent.py script that ties everything together.

Decision Tree: What the Script Does

Figure 2: Decision tree for the timesheet script. Notice the fallback path — if OpenClaw fails, events are still written as "Uncategorized" so you never lose data.

Full Script

Environment Variables

You need three secrets configured. Here's the decision matrix:

Setting Environment Variables in Paradime Bolt

1. Navigate to Settings in Paradime.

2. Go to Workspaces > Environment Variables.

3. In the Bolt Schedules section, click Add New.

4. Add each variable:

📋 Tip: For bulk upload, create a CSV with Key,Value header and use the Bulk Upload feature. See Bolt Schedule Environment Variables docs.

🔒 Admin Only: Only workspace administrators can configure Bolt environment variables. Individual schedules can override global defaults if needed — see Environment Variables Override.

Bolt Schedule: Cron Friday 5 PM

File Structure

Your dbt™ project should look like this:

paradime_schedules.yml

Define the schedule using Paradime's schedules-as-code:

Cron Expression Breakdown

🕐 Timezone Note: If your team works in US Eastern time, set timezone: America/New_York to fire at 5 PM local time. Validate expressions at crontab.guru.

Deployment

1. Commit paradime_schedules.yml to your default branch (main or master).

2. Paradime auto-detects changes within ~10 minutes.

3. For immediate pickup, go to Bolt UI and click Parse Schedules.

Figure 3: Deployment and execution flow for the Bolt schedule.

Monitoring and Debugging

Time to First Clue: 60-Second Diagnostic

When a run fails, follow this exact sequence to get your first clue as fast as possible:

Figure 4: Diagnostic decision tree — always start with Summary Logs for the fastest path to the root cause.

Monitoring in Paradime Bolt

Bolt provides three log levels for each run (access via Run History > Click a run > Logs and Artifacts):

Artifacts produced by each run include compiled SQL, manifest files, and run_results.json — useful for auditing what actually executed.

Monitoring OpenClaw

For the OpenClaw SDK portion, use these diagnostic commands:

Setting Up Notifications

In your paradime_schedules.yml, notifications are already configured for failures and SLA breaches. Additionally, you can set up:

• Slack alerts for the data-team channel on failures

• Email alerts to the schedule owner

• Jira ticket creation for failed runs (see Jira Tickets from Bolt)

Troubleshooting Common Issues

Issue 1: GOOGLE_CREDENTIALS_JSON Parse Error

Symptom: json.JSONDecodeError: Expecting value: line 1 column 1

Root Cause: The JSON string was corrupted during copy-paste into Paradime's environment variable UI (common with multi-line strings).

Fix:

1. Minify the JSON to a single line before pasting:

2. Paste the single-line output into the Bolt environment variable value field.

3. Re-trigger the schedule manually from Bolt UI.

Issue 2: Google Calendar Returns 403 Forbidden

Symptom: googleapiclient.errors.HttpError: 403 ... "The caller does not have permission"

Decision tree:

Figure 5: 403 error decision tree for Google Calendar API.

Issue 3: OpenClaw Returns 429 Rate Limit

Symptom: HTTP 429: rate_limit_error

Fix:

• Check your OpenClaw plan's rate limits (free tier supports up to 10 jobs).

• Add exponential backoff to the categorization call.

• If consistently hitting limits, batch events into fewer, larger prompts.

Issue 4: Google Sheets Write Fails with 400

Symptom: HttpError 400: Invalid values[0][0]

Root Cause: Data type mismatch — the Sheets API expects strings, but numeric or None values were passed.

Fix: Ensure all values are cast to strings in the rows array:

Issue 5: OpenClaw Cron Didn't Fire

Symptom: No logs for scheduled cron job.

Diagnostic commands:

Common log signatures and fixes:

📖 Reference: OpenClaw Troubleshooting Docs

Issue 6: Script Runs but Sheets Are Empty

Symptom: Exit code 0, logs show "Wrote 0 rows."

Checklist:

1. Verify TIMESHEET_SPREADSHEET_ID matches your actual Sheet URL.

2. Confirm the sheet tab name matches SHEET_RANGE (default: Timesheet!A:F).

3. Check that the service account has Editor (not Viewer) access to the Sheet.

4. Verify the week_start and week_end bounds — if run on a Saturday, the script looks at the past Mon–Fri. Check timezone alignment.

Issue 7: Bolt Schedule Shows "Missed" Status

Symptom: Schedule shows as "Missed" in Bolt UI.

Root Cause: The Bolt scheduler environment connection is broken or the cron expression is invalid.

Fix:

1. Verify your Scheduler Environment connection.

2. Validate the cron expression at crontab.guru.

3. Check that paradime_schedules.yml is on your default branch and has been parsed.

Wrapping Up

You've built a complete, automated timesheet pipeline that:

1. Runs on schedule — Paradime Bolt fires every Friday at 5 PM via cron.

2. Fetches real data — Google Calendar API retrieves all your week's events.

3. Uses AI to categorize — OpenClaw's SDK classifies events by project and client.

4. Writes results automatically — Google Sheets API appends timesheet rows.

5. Fails gracefully — fallback to "Uncategorized" ensures you never lose data.

6. Is fully observable — Bolt's Summary/Console/Debug logs give you time-to-first-clue in under 60 seconds.

Quick Reference: All Environment Variables

Quick Reference: Key Documentation Links

• Paradime Bolt — Schedules as Code

• Paradime Bolt — Trigger Types

• Paradime Bolt — Environment Variables

• Paradime Bolt — Python Scripts

• Paradime Bolt — Debugging Failed Runs

• OpenClaw — Getting Started

• OpenClaw — Troubleshooting

• Google Calendar API — Python Quickstart

• Google Sheets API — Python Quickstart

• Crontab Guru

Next Steps

• Add historical backfill: Modify get_week_bounds() to accept a date parameter, then run the script for past weeks.

• Improve categorization accuracy: Teach OpenClaw your project/client taxonomy by adding context to the prompt or using its persistent memory feature.

• Add dbt™ models on top of the timesheet data: Use Paradime's IDE to build dbt™ models that aggregate timesheet data for reporting, and schedule them in Bolt after the timesheet write completes using the On Run Completion trigger type.

• Set up Google Calendar push notifications: For real-time event tracking instead of weekly batch, use Google Calendar push notifications to trigger the pipeline via the Bolt API trigger type.